diff --git a/data/data_analyst_20241214.csv b/data/data_analyst_20241214.csv new file mode 100644 index 0000000..3c6882d --- /dev/null +++ b/data/data_analyst_20241214.csv @@ -0,0 +1,3893 @@ +Job_ID,Link,Title,Company,Place,Description,HTML,Date,Skills +4092886715,https://es.linkedin.com/jobs/view/business-data-analyst-at-repsol-4092886715?position=4&pageNum=0&refId=s3ME%2B3nV0yYl%2Fs%2FYfYdbKQ%3D%3D&trackingId=XEL632x2gJl%2FHG6zddYxSw%3D%3D,Business Data Analyst,Repsol,"Madrid, Community of Madrid, Spain","Información clave: + +Equipo: Comunicación / Marca + +Localización: Madrid, España + +Nivel de experiencia: +2 años + +Tipo de trabajo: híbrido + +Requisitos: inglés B2 o superior + Licenciatura o superior + +El equipo al que te unes: + +La vacante está dentro la D. Performance, Inteligencia de Negocio y Modelo Operativo de la D.E. Movilidad Iberia. + +En la Dirección Ejecutiva de Movilidad Iberia, somos responsables de la gestión y desarrollo de estrategias para la movilidad en la región ibérica. Este puesto jugará un papel vital en apoyar a la Dirección de Movilidad Iberia en su misión de optimizar la gestión y estrategia de movilidad, asegurando que las decisiones se basen en datos precisos y análisis profundos. + +Principales tareas: + + +Serás responsable de interpretar datos y aplicar métodos estadísticos para resolver problemas de negocio complejos. +Construirás modelos analíticos utilizando plataformas de análisis de datos para apoyar la toma de decisiones. +Utilizarás tus conocimientos para automatizar tareas y procesar grandes volúmenes de datos. +Colaborarás estrechamente con diferentes áreas de la empresa para alinear el análisis de datos con los objetivos estratégicos. +Manejarás plataformas de Business Intelligence para la visualización de datos y generación de insights. +Asegurarás la calidad y el correcto manejo de los datos dentro de la organización, manteniendo altos estándares de seguridad del dato. + + + +Qué ofrecemos: + + +Contrato indefinido +Bonus según objetivos +Seguro médico +Aportación a plan de pensiones +Desconexión digital +Medidas de conciliación +Asesoría legal +Servicios de apoyo al empleado + + + +Encajarás en el puesto si: + + +Tienes estudios en áreas relacionadas con la ciencia de datos, estadística, matemáticas, informática, ingeniería o econometría. +Experiencia demostrable en análisis de datos y visualización. +Conocimientos avanzados en plataformas de Business Intelligence y herramientas de análisis estadístico. Se valorará positivamente experiencia en PowerBI y DAX. +Experiencia de trabajo en la nube. Se valorará positivamente experiencia en el ecosistema Azure. +Fuerte comprensión de los procesos de negocio y capacidad para traducir necesidades empresariales en requerimientos analíticos. +Excelentes habilidades de comunicación y presentación para compartir hallazgos con audiencias técnicas y no técnicas. +Capacidad de resolver problemas de negocio con analítica de datos. + + + +Show more ","
+ + + + + +
+
+ Información clave:

Equipo: Comunicación / Marca

Localización: Madrid, España

Nivel de experiencia: +2 años

Tipo de trabajo: híbrido

Requisitos: inglés B2 o superior + Licenciatura o superior

El equipo al que te unes:

La vacante está dentro la D. Performance, Inteligencia de Negocio y Modelo Operativo de la D.E. Movilidad Iberia.

En la Dirección Ejecutiva de Movilidad Iberia, somos responsables de la gestión y desarrollo de estrategias para la movilidad en la región ibérica. Este puesto jugará un papel vital en apoyar a la Dirección de Movilidad Iberia en su misión de optimizar la gestión y estrategia de movilidad, asegurando que las decisiones se basen en datos precisos y análisis profundos.

Principales tareas:

  • Serás responsable de interpretar datos y aplicar métodos estadísticos para resolver problemas de negocio complejos.
  • Construirás modelos analíticos utilizando plataformas de análisis de datos para apoyar la toma de decisiones.
  • Utilizarás tus conocimientos para automatizar tareas y procesar grandes volúmenes de datos.
  • Colaborarás estrechamente con diferentes áreas de la empresa para alinear el análisis de datos con los objetivos estratégicos.
  • Manejarás plataformas de Business Intelligence para la visualización de datos y generación de insights.
  • Asegurarás la calidad y el correcto manejo de los datos dentro de la organización, manteniendo altos estándares de seguridad del dato.


Qué ofrecemos:

  • Contrato indefinido
  • Bonus según objetivos
  • Seguro médico
  • Aportación a plan de pensiones
  • Desconexión digital
  • Medidas de conciliación
  • Asesoría legal
  • Servicios de apoyo al empleado


Encajarás en el puesto si:

  • Tienes estudios en áreas relacionadas con la ciencia de datos, estadística, matemáticas, informática, ingeniería o econometría.
  • Experiencia demostrable en análisis de datos y visualización.
  • Conocimientos avanzados en plataformas de Business Intelligence y herramientas de análisis estadístico. Se valorará positivamente experiencia en PowerBI y DAX.
  • Experiencia de trabajo en la nube. Se valorará positivamente experiencia en el ecosistema Azure.
  • Fuerte comprensión de los procesos de negocio y capacidad para traducir necesidades empresariales en requerimientos analíticos.
  • Excelentes habilidades de comunicación y presentación para compartir hallazgos con audiencias técnicas y no técnicas.
  • Capacidad de resolver problemas de negocio con analítica de datos.


+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-09,[] +4090641637,https://pt.linkedin.com/jobs/view/data-analyst-at-affinity-4090641637?position=13&pageNum=0&refId=s3ME%2B3nV0yYl%2Fs%2FYfYdbKQ%3D%3D&trackingId=Iu7BBJPUf8ToPqJEzhnDyg%3D%3D,Data Analyst,Affinity,"Lisbon, Portugal","A Job? Or a Lifetime Experience? Start Yours Here! + + + + +A nossa missão é ser uma parte significativa da carreira das nossas pessoas. À medida que crescemos, cresce também a determinação em oferecer a melhor experiência aos nossos colaboradores e clientes e é exatamente isso que nos move. Somos uma empresa portuguesa de consultoria tecnológica com escritórios em Lisboa, Porto e Óbidos e representações no Brasil e Tunísia. Contamos com mais de 11 anos de expertise no mercado, e hoje somos um universo de cerca de 400 pessoas a trabalhar em contexto presencial, remoto ou híbrido em projetos em mais de 20 países. + + + + +Acreditamos que grandes pessoas fazem empresas de sucesso e por isso mesmo defendemos a valorização, reconhecimento e crescimento dos nossos profissionais. + +Não queremos ser mais uma linha do teu CV, queremos que connosco vivas uma Lifetime Experience. Apostamos em formações e certificações que confirmam a tua real progressão, na promoção de um saudável work-life balance e na oferta de benefícios com impacto na tua vida pessoal e carreira. + + + + +O que procuramos + +Formação superior em Engenharia Informática ou similar (valorizado) +Experiência mínima de 1 ano na área de Business Intelligence +Experiência com Google Analytics (Looker Studio) +Experiência em construção de dashboards +Inglês proficiente (B2) + + + + +Ser Affinity + +#Affinidade – Criares relações de proximidade e empatia com colegas, clientes e candidatos (e não apenas com tecnologias, linguagens e plataformas). Espírito de equipa e boa disposição; +#Ambição – Quereres fazer mais e melhor. Vontade de exceder expectativas e evoluir pessoal e profissionalmente; +#Ação – Energia para fazer acontecer. Mostrares proatividade e capacidade de iniciativa; +#Aprendizagem – Vontade de evoluir individual e coletivamente e tornares-te um expert no mercado tecnológico. + + + + +A tua #LifetimeExperience + +Participar em projetos nacionais e internacionais numa empresa baseada em relacionamentos pessoais, na simplicidade e na eficiência, com uma ação disruptiva no mercado tecnológico; +Aceder a um plano de carreira e formação personalizado e diretamente proporcional ao teu desempenho e interesse; +Fazer parte de um ambiente acolhedor, de confiança, respeito e informalidade; +Integrar as nossas Affinity Communities (de desporto, tecnologia, hobbies, etc.) e participar ativamente em projetos de responsabilidade social e ambiental; +Tirar partido de um conjunto de benefícios, parcerias, descontos eventos e dinâmicas internas. + + + + +Para além da tua satisfação profissional queremos proporcionar-te oportunidades de lazer e convívio memoráveis e dignos de uma experiência Affinity. + + + + +Join the Experience! + + + + +Envia-nos a tua candidatura e aproveita para nos conhecer e ir acompanhando em: + +https://www.instagram.com/affinityportugal/ + +https://www.linkedin.com/company/2701281/admin/ + +https://twitter.com/WithAffinity + +Show more ","
+ + + + + +
+
+

A Job? Or a Lifetime Experience? Start Yours Here!


A nossa missão é ser uma parte significativa da carreira das nossas pessoas. À medida que crescemos, cresce também a determinação em oferecer a melhor experiência aos nossos colaboradores e clientes e é exatamente isso que nos move. Somos uma empresa portuguesa de consultoria tecnológica com escritórios em Lisboa, Porto e Óbidos e representações no Brasil e Tunísia. Contamos com mais de 11 anos de expertise no mercado, e hoje somos um universo de cerca de 400 pessoas a trabalhar em contexto presencial, remoto ou híbrido em projetos em mais de 20 países.


Acreditamos que grandes pessoas fazem empresas de sucesso e por isso mesmo defendemos a valorização, reconhecimento e crescimento dos nossos profissionais.

Não queremos ser mais uma linha do teu CV, queremos que connosco vivas uma Lifetime Experience. Apostamos em formações e certificações que confirmam a tua real progressão, na promoção de um saudável work-life balance e na oferta de benefícios com impacto na tua vida pessoal e carreira.


O que procuramos

  • Formação superior em Engenharia Informática ou similar (valorizado)
  • Experiência mínima de 1 ano na área de Business Intelligence
  • Experiência com Google Analytics (Looker Studio)
  • Experiência em construção de dashboards
  • Inglês proficiente (B2)


Ser Affinity

  • #Affinidade – Criares relações de proximidade e empatia com colegas, clientes e candidatos (e não apenas com tecnologias, linguagens e plataformas). Espírito de equipa e boa disposição;
  • #Ambição – Quereres fazer mais e melhor. Vontade de exceder expectativas e evoluir pessoal e profissionalmente;
  • #Ação – Energia para fazer acontecer. Mostrares proatividade e capacidade de iniciativa;
  • #Aprendizagem – Vontade de evoluir individual e coletivamente e tornares-te um expert no mercado tecnológico.


A tua #LifetimeExperience

  • Participar em projetos nacionais e internacionais numa empresa baseada em relacionamentos pessoais, na simplicidade e na eficiência, com uma ação disruptiva no mercado tecnológico;
  • Aceder a um plano de carreira e formação personalizado e diretamente proporcional ao teu desempenho e interesse;
  • Fazer parte de um ambiente acolhedor, de confiança, respeito e informalidade;
  • Integrar as nossas Affinity Communities (de desporto, tecnologia, hobbies, etc.) e participar ativamente em projetos de responsabilidade social e ambiental;
  • Tirar partido de um conjunto de benefícios, parcerias, descontos eventos e dinâmicas internas.


Para além da tua satisfação profissional queremos proporcionar-te oportunidades de lazer e convívio memoráveis e dignos de uma experiência Affinity.


Join the Experience!


Envia-nos a tua candidatura e aproveita para nos conhecer e ir acompanhando em:

https://www.instagram.com/affinityportugal/

https://www.linkedin.com/company/2701281/admin/

https://twitter.com/WithAffinity

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-04,[] +4092316451,https://es.linkedin.com/jobs/view/business-data-analyst-at-massimo-dutti-4092316451?position=18&pageNum=0&refId=s3ME%2B3nV0yYl%2Fs%2FYfYdbKQ%3D%3D&trackingId=b94fOGh0OKVdNlSbbVFXqw%3D%3D,Business Data Analyst,Massimo Dutti,"Tordera, Catalonia, Spain","Como Business Data Analyst (SQL + PowerBI) te integrarás dentro del equipo Digital Data en el área de Ecommerce de Massimo Dutti. + + + + +Buscamos personas proactivas, con capacidad para trabajar en equipo y excelentes habilidades técnicas, así como una fuerte orientación a resultados y comprensión estratégica del negocio. + + + + +Tus responsabilidades: + +Junto con el departamento, definición y cálculo de KPIs avanzados que permitan evaluar el buen performance de las diferentes áreas de negocio. +Extracción, procesamiento y organización de datos. (SQL, Phyton, Snowflake, Big Query). +Conceptualización, diseño y construcción de cuadros de mando en Power BI, destinados a las demás áreas de negocio que consuman la información. +Participar en la elaboración de informes estratégicos. +Interpretación y lectura de los informes siendo capaz de construir insights relevantes a partir de la información contenida en los datos y transmitirla de forma eficiente a las diferentes áreas del negocio. +Trabajar con el resto del equipo de datos (Business Analysts, Data Engineers y Data Scientists) para implementar las soluciones propuestas. + + + + +Formación + +Formación superior en Ingeniería, ADE, Matemáticas, Estadística o similar. +Valorable Máster en Data Analytics o Data Science. + + + + +Experiencia Laboral + +Experiencia de al menos 5 años como Data Analyst en entornos digitales, preferiblemente Ecommerce. +Amplia experiencia con bases de datos, SQL y Python. +Habilidad para entender y crear soluciones técnicas utilizando diferentes tecnologías. +Habilidades solidas en visualización de datos en Power BI. +Valorable experiencia en el desarrollo de modelos predictivos y machine learning. + + + + +Skills Tecnológicas + +Nivel expert en SQL y Phyton. +Nivel avanzado de PowerBi y Excel. +Muy valorable experiencia en Google Analytics 4 (GA4), Big Query, Snowflake y familiarización con productos de la suite de Google. + + + + +Skills comunicativas y personales + +Habilidades comunicativas tanto en Español como en Inglés. +Fuerte visión de negocio y de cómo el dato puede ser el motor del cambio en las decisiones estratégicas de la compañía. +Habilidad para trabajar de forma autónoma como integrante de un equipo. +Mentalidad orientada a resultados y a resolución de problemas complejos. +Atención al detalle, garantizando precisión e integridad en todos los análisis. +Capacidad de traducir del lenguaje de negocio al técnico y viceversa. +Interés por el mundo de la moda. + + + + +Qué te ofrecemos + +Dispondrás de un servicio de comedor subvencionado. +Disfrutarás de un gimnasio en nuestras instalaciones, además de clases dirigidas. +Servicio de autobús-empresa subvencionado con salida desde diferentes puntos de Barcelona, Mataró, Vallés. +InLife, un club para acercarte productos y servicios a nuestras oficinas (farmacia, mensajería etc.). +Siendo parte del grupo Inditex podrás comprar en cualquiera de nuestras marcas, con un 25% de descuento. + + + + +Massimo Dutti es una empresa comprometida con la igualdad de oportunidades. + +Show more ","
+ + + + + +
+
+

Como Business Data Analyst (SQL + PowerBI) te integrarás dentro del equipo Digital Data en el área de Ecommerce de Massimo Dutti.


Buscamos personas proactivas, con capacidad para trabajar en equipo y excelentes habilidades técnicas, así como una fuerte orientación a resultados y comprensión estratégica del negocio.


Tus responsabilidades:

  • Junto con el departamento, definición y cálculo de KPIs avanzados que permitan evaluar el buen performance de las diferentes áreas de negocio.
  • Extracción, procesamiento y organización de datos. (SQL, Phyton, Snowflake, Big Query).
  • Conceptualización, diseño y construcción de cuadros de mando en Power BI, destinados a las demás áreas de negocio que consuman la información.
  • Participar en la elaboración de informes estratégicos.
  • Interpretación y lectura de los informes siendo capaz de construir insights relevantes a partir de la información contenida en los datos y transmitirla de forma eficiente a las diferentes áreas del negocio.
  • Trabajar con el resto del equipo de datos (Business Analysts, Data Engineers y Data Scientists) para implementar las soluciones propuestas.


Formación

  • Formación superior en Ingeniería, ADE, Matemáticas, Estadística o similar.
  • Valorable Máster en Data Analytics o Data Science.


Experiencia Laboral

  • Experiencia de al menos 5 años como Data Analyst en entornos digitales, preferiblemente Ecommerce.
  • Amplia experiencia con bases de datos, SQL y Python.
  • Habilidad para entender y crear soluciones técnicas utilizando diferentes tecnologías.
  • Habilidades solidas en visualización de datos en Power BI.
  • Valorable experiencia en el desarrollo de modelos predictivos y machine learning.


Skills Tecnológicas

  • Nivel expert en SQL y Phyton.
  • Nivel avanzado de PowerBi y Excel.
  • Muy valorable experiencia en Google Analytics 4 (GA4), Big Query, Snowflake y familiarización con productos de la suite de Google.


Skills comunicativas y personales

  • Habilidades comunicativas tanto en Español como en Inglés.
  • Fuerte visión de negocio y de cómo el dato puede ser el motor del cambio en las decisiones estratégicas de la compañía.
  • Habilidad para trabajar de forma autónoma como integrante de un equipo.
  • Mentalidad orientada a resultados y a resolución de problemas complejos.
  • Atención al detalle, garantizando precisión e integridad en todos los análisis.
  • Capacidad de traducir del lenguaje de negocio al técnico y viceversa.
  • Interés por el mundo de la moda.


Qué te ofrecemos

  • Dispondrás de un servicio de comedor subvencionado.
  • Disfrutarás de un gimnasio en nuestras instalaciones, además de clases dirigidas.
  • Servicio de autobús-empresa subvencionado con salida desde diferentes puntos de Barcelona, Mataró, Vallés.
  • InLife, un club para acercarte productos y servicios a nuestras oficinas (farmacia, mensajería etc.).
  • Siendo parte del grupo Inditex podrás comprar en cualquiera de nuestras marcas, con un 25% de descuento.


Massimo Dutti es una empresa comprometida con la igualdad de oportunidades.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-05,[] +4093798922,https://ie.linkedin.com/jobs/view/data-analyst-tableau-at-pepper-advantage-4093798922?position=19&pageNum=0&refId=s3ME%2B3nV0yYl%2Fs%2FYfYdbKQ%3D%3D&trackingId=C%2F9eY82gSG9hTjaV30il%2Bw%3D%3D,Data analyst (Tableau),Pepper Advantage,"Shannon, County Clare, Ireland","About Pepper Advantage Ireland + +Pepper Advantage Ireland has been instrumental in helping Irish individuals, businesses and investors navigate their financial journey since 2012. We manage over €20bn worth of assets and have a skilled team of more than 600 people across Dublin and Shannon. We’re here to service loans and mortgages which includes processing loan payments and when needed, working with customers to resolve late payments or assist with financial difficulties. + + + + +As part of the international Pepper Advantage Group, we combine local knowledge with global expertise. With operations across the UK, Europe and Southeast Asia, we employ over 3,500 people and have over €50bn in assets under management. + + + + +About the role + +As a data analyst, you will be responsible for analyzing and interpreting complex data sets to provide insights and recommendations to the business. You will work closely with the data team to develop and maintain data models, dashboards, and reports using Tableau. + + + + +Location: Shannon, County Clare, Ireland. + + + + +Main Responsibilities + +Collaborating with business stakeholders to understand their data needs and requirements. +Developing and maintaining data models to support business reporting and analysis. +Creating and maintaining Tableau dashboards and reports to visualize data and provide insights. +Conducting data analysis to identify trends, patterns, and anomalies. +Communicating findings and recommendations to business stakeholders in a clear and concise manner. +Ensuring data accuracy and integrity by performing data quality checks and validations. +Staying up to date with the latest Tableau features and best practices. + + + + +Your skills + +At least 5 years of experience in financial services and data/Tableau experience. +Strong analytical and problem-solving skills. +Proficiency in SQL and data modelling. +Experience with Tableau Desktop and Server. +Ability to create complex queries and visualizations in Tableau. +Excellent communication and presentation skills. +Ability to work independently and as part of a team. +Bachelor's degree in a related field (e.g. Computer Science, Mathematics, Statistics) +Strong English skills. + + + + + + + +Pepper is an equal opportunity employer. + +Role Profiles are subject to change in line with business needs. + +For more information on this role please email recruitment@peppergroup.ie + +Show more ","
+ + + + + +
+
+

About Pepper Advantage Ireland

Pepper Advantage Ireland has been instrumental in helping Irish individuals, businesses and investors navigate their financial journey since 2012. We manage over €20bn worth of assets and have a skilled team of more than 600 people across Dublin and Shannon. We’re here to service loans and mortgages which includes processing loan payments and when needed, working with customers to resolve late payments or assist with financial difficulties.


As part of the international Pepper Advantage Group, we combine local knowledge with global expertise. With operations across the UK, Europe and Southeast Asia, we employ over 3,500 people and have over €50bn in assets under management.


About the role

As a data analyst, you will be responsible for analyzing and interpreting complex data sets to provide insights and recommendations to the business. You will work closely with the data team to develop and maintain data models, dashboards, and reports using Tableau.


Location: Shannon, County Clare, Ireland.


Main Responsibilities

  • Collaborating with business stakeholders to understand their data needs and requirements.
  • Developing and maintaining data models to support business reporting and analysis.
  • Creating and maintaining Tableau dashboards and reports to visualize data and provide insights.
  • Conducting data analysis to identify trends, patterns, and anomalies.
  • Communicating findings and recommendations to business stakeholders in a clear and concise manner.
  • Ensuring data accuracy and integrity by performing data quality checks and validations.
  • Staying up to date with the latest Tableau features and best practices.


Your skills

  • At least 5 years of experience in financial services and data/Tableau experience.
  • Strong analytical and problem-solving skills.
  • Proficiency in SQL and data modelling.
  • Experience with Tableau Desktop and Server.
  • Ability to create complex queries and visualizations in Tableau.
  • Excellent communication and presentation skills.
  • Ability to work independently and as part of a team.
  • Bachelor's degree in a related field (e.g. Computer Science, Mathematics, Statistics)
  • Strong English skills.



Pepper is an equal opportunity employer.

Role Profiles are subject to change in line with business needs.

For more information on this role please email recruitment@peppergroup.ie

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-13,[] +4093022081,https://be.linkedin.com/jobs/view/data-analyst-at-sopra-steria-4093022081?position=21&pageNum=0&refId=s3ME%2B3nV0yYl%2Fs%2FYfYdbKQ%3D%3D&trackingId=TlhlbiCN6ZETp7Cq%2F2DnRA%3D%3D,Data Analyst,Sopra Steria,"Brussels, Brussels Region, Belgium","Company Description + +Sopra Steria offers tailored, end-to-end corporate technology and software solutions to help clients make bold choices and deliver results. Successfully so! With more than 56.000 colleagues in 30 countries, we rank as Europe’s leading digital solutions provider. Some of the most successful companies in Europe rely on our technology due to our commitment to innovation, collaboration, and value in business development. + +The world is how we shape it. Let’s shape it together. + +Job Description + +As a Data Analyst at Sopra Steria, you will play a pivotal role in guiding clients from various industries through their dynamic data journey. You will assist clients in transforming their data processes. By thoroughly analysing and understanding customer needs, you’ll match their requirements with meaningful data solutions. Your innovative approach will enable you to generate impactful analyses that deliver efficient, user-focused solutions. Through your expertise and advice across the data value chain, you’ll ensure the successful implementation and support of Sopra Steria’s diverse portfolio of data services. + +Qualifications + +We’re seeking passionate colleagues who are eager to push the boundaries in digital transformation and technology consulting. At Sopra Steria, you’ll have the opportunity to grow your skills in a constructive, collaborative team environment, working on impactful projects that drive change for our clients. If you thrive on challenge and meet (most of) the qualifications below, we look forward to your application! + +You’ll have knowledge and experience of the following: + + +You help customers in their data transformation, focusing on data architecture, data strategy and governance, data transformation, data foundation, and more +You engage with customers about their needs and understand their business requirements +You collect and analyze data +You match customer demand with meaningful data +You create analyses which generate efficient and effective user solutions +Based on your advice across the entire data value chain, you ensure that Sopra Steria’s portfolio of relevant data services is implemented and supported +You have at least 2 years of data analysis and design experience +You are proficient in English, knowledge of Dutch and/or French is a must. + + +What We Can Offer You + +As a member of one of Europe’s largest digital solutions providers, you’ll benefit from extensive career development opportunities, both local and international. At the Sopra Steria Academy, you’ll be part of a dynamic network of 56,000 professionals at all stages of their careers. With a wide array of offices to explore, you can find your ideal location and take the next step in your career. + +You’ll become a part of a major Tech player in Europe recognised for its consulting, digital services, and software development. On top of that, you’ll join our Data & AI team, where we support enterprises and institutions to become more data driven, and assist our clients to increase business efficiency and create impact with data. We offer a complete portfolio of Services and Solutions to unburden organisations in every step of their transition: from defining and executing the data strategy and governance, over setting up data platforms, to visualizing dashboards and applying the latest data science and artificial intelligence methodologies.   + +Additional Information + +Our employees are known for making bold choices and delivering results. Work among high-level professionals at the forefront of corporate software solutions and innovation at Europe’s Leading Digital Service Provider. + +We offer a generous employee benefits package that includes: + + +A variety of perks, such as mobility options (including a company car), insurance coverage, meal vouchers, eco-cheques, and more. +Continuous learning opportunities through the Sopra Steria Academy to support your career development. +The opportunity to connect with fellow Sopra Steria colleagues at various team events. + + +People are the cornerstone of our success. That’s why we aspire to be bolder together. Our goal is to build high-functioning teams and healthy team environments that inspire and help each other to deliver excellence for each of our customers. + +Excited about this job opportunity? Ready to shape the world with us? Great! We are looking forward to your application! + +______ + +Sopra Steria is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, ancestry, nationality, color, family or medical leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, gender (including pregnancy), sexual orientation or any other characteristic protected by applicable local laws, regulations and ordinances. We foster a work environment that is inclusive and respectful of all differences. +Show more ","
+ + + + + +
+
+ Company Description

Sopra Steria offers tailored, end-to-end corporate technology and software solutions to help clients make bold choices and deliver results. Successfully so! With more than 56.000 colleagues in 30 countries, we rank as Europe’s leading digital solutions provider. Some of the most successful companies in Europe rely on our technology due to our commitment to innovation, collaboration, and value in business development.

The world is how we shape it. Let’s shape it together.

Job Description

As a Data Analyst at Sopra Steria, you will play a pivotal role in guiding clients from various industries through their dynamic data journey. You will assist clients in transforming their data processes. By thoroughly analysing and understanding customer needs, you’ll match their requirements with meaningful data solutions. Your innovative approach will enable you to generate impactful analyses that deliver efficient, user-focused solutions. Through your expertise and advice across the data value chain, you’ll ensure the successful implementation and support of Sopra Steria’s diverse portfolio of data services.

Qualifications

We’re seeking passionate colleagues who are eager to push the boundaries in digital transformation and technology consulting. At Sopra Steria, you’ll have the opportunity to grow your skills in a constructive, collaborative team environment, working on impactful projects that drive change for our clients. If you thrive on challenge and meet (most of) the qualifications below, we look forward to your application!

You’ll have knowledge and experience of the following:

  • You help customers in their data transformation, focusing on data architecture, data strategy and governance, data transformation, data foundation, and more
  • You engage with customers about their needs and understand their business requirements
  • You collect and analyze data
  • You match customer demand with meaningful data
  • You create analyses which generate efficient and effective user solutions
  • Based on your advice across the entire data value chain, you ensure that Sopra Steria’s portfolio of relevant data services is implemented and supported
  • You have at least 2 years of data analysis and design experience
  • You are proficient in English, knowledge of Dutch and/or French is a must.

What We Can Offer You

As a member of one of Europe’s largest digital solutions providers, you’ll benefit from extensive career development opportunities, both local and international. At the Sopra Steria Academy, you’ll be part of a dynamic network of 56,000 professionals at all stages of their careers. With a wide array of offices to explore, you can find your ideal location and take the next step in your career.

You’ll become a part of a major Tech player in Europe recognised for its consulting, digital services, and software development. On top of that, you’ll join our Data & AI team, where we support enterprises and institutions to become more data driven, and assist our clients to increase business efficiency and create impact with data. We offer a complete portfolio of Services and Solutions to unburden organisations in every step of their transition: from defining and executing the data strategy and governance, over setting up data platforms, to visualizing dashboards and applying the latest data science and artificial intelligence methodologies.  

Additional Information

Our employees are known for making bold choices and delivering results. Work among high-level professionals at the forefront of corporate software solutions and innovation at Europe’s Leading Digital Service Provider.

We offer a generous employee benefits package that includes:

  • A variety of perks, such as mobility options (including a company car), insurance coverage, meal vouchers, eco-cheques, and more.
  • Continuous learning opportunities through the Sopra Steria Academy to support your career development.
  • The opportunity to connect with fellow Sopra Steria colleagues at various team events.

People are the cornerstone of our success. That’s why we aspire to be bolder together. Our goal is to build high-functioning teams and healthy team environments that inspire and help each other to deliver excellence for each of our customers.

Excited about this job opportunity? Ready to shape the world with us? Great! We are looking forward to your application!

______

Sopra Steria is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, ancestry, nationality, color, family or medical leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, gender (including pregnancy), sexual orientation or any other characteristic protected by applicable local laws, regulations and ordinances. We foster a work environment that is inclusive and respectful of all differences. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-05,[] +4092581761,https://es.linkedin.com/jobs/view/data-analyst-reporting-financiero-at-banco-sabadell-4092581761?position=23&pageNum=0&refId=s3ME%2B3nV0yYl%2Fs%2FYfYdbKQ%3D%3D&trackingId=kVRwfxxO6quG2I0eQdTqdg%3D%3D,Data Analyst- Reporting Financiero,Banco Sabadell,"Barcelona, Catalonia, Spain","MISIÓN + + + + +Tu misión será participar en la definición de procesos de provisión de información en los repositorios de datos de Sabadell Consumer Finance con el objetivo de elaborar el reporting necesario asegurando la calidad de la información. + + + + +FUNCIONES + +Serás el responsable del desarrollo, mantenimiento y mejora del reporting realizado desde la dirección financiera al área comercial. +Participarás en proyectos de optimización y automatización del actual reporting. +Participarás en los distintos procesos de actualización de los repositorios de datos y generación de informes por parte de la Dirección Financiera. +Liderarás proyectos internos de la Dirección para la mejora del reporting. +Interaccionarás con distintas Direcciones de Sabadell Consumer Finance para obtener información y, posteriormente, estructurar, tratar y analizar datos. Participarás en Grupos de Trabajo con el objetivo de impulsar proyectos transversales en el ámbito del reporting. +Realizarás seguimiento de los procedimientos de control de la calidad de la información para garantizar la fiabilidad e integridad de los datos que se utilizan en el reporting. + + + + +FORMACIÓN BÁSICA + + + + +Formación técnica superior (Informática, matemática, o cualquier otra rama financiera o Ingeniería). +Valoraremos positivamente que aportes formación complementaria (Máster o postgrado) relacionado. + + + + +FORMACIÓN ESPECÍFICA + + + + +Conocimientos avanzados en analítica de datos (Python, SAS, SQL, R,…). +Experiencia en tratamientos de bases de datos y ficheros. +Que aportes conocimientos en elaboración y generación de informes. +Conocimientos nivel avanzado paquete MS Office. En especial: Word, Excel y Power Point. +Valorable nivel avanzado de inglés (B2 mín.). +Valorables conocimientos financieros. + + + + +EXPERIENCIA + + + + +2-3 años de experiencia en el tratamiento y análisis de datos financieros, preferiblemente en el sector bancario. + + + + +HABILIDADES CLAVE: + + + + +Fuerte capacidad analítica para el manejo de grandes volúmenes de datos. +Excelentes competencias de comunicación, tanto para trabajar en equipo como para presentar resultados. +Proactividad, iniciativa e interés genuino en comprender el impacto y propósito de tu trabajo. + + + + +LO QUE VALORAMOS EN TI: + + + + +Actitud resolutiva y curiosidad por mejorar procesos. +Capacidad para identificar patrones y generar insights útiles para la toma de decisiones. +Experiencia adicional en herramientas específicas de reporting será un plus. + + + + + + + +Si eres una persona con iniciativa, habilidades analíticas destacadas y deseas crecer en un entorno dinámico dentro del sector bancario, ¡te estamos buscando! + +Show more ","
+ + + + + +
+
+

MISIÓN


Tu misión será participar en la definición de procesos de provisión de información en los repositorios de datos de Sabadell Consumer Finance con el objetivo de elaborar el reporting necesario asegurando la calidad de la información.


FUNCIONES

  • Serás el responsable del desarrollo, mantenimiento y mejora del reporting realizado desde la dirección financiera al área comercial.
  • Participarás en proyectos de optimización y automatización del actual reporting.
  • Participarás en los distintos procesos de actualización de los repositorios de datos y generación de informes por parte de la Dirección Financiera.
  • Liderarás proyectos internos de la Dirección para la mejora del reporting.
  • Interaccionarás con distintas Direcciones de Sabadell Consumer Finance para obtener información y, posteriormente, estructurar, tratar y analizar datos. Participarás en Grupos de Trabajo con el objetivo de impulsar proyectos transversales en el ámbito del reporting.
  • Realizarás seguimiento de los procedimientos de control de la calidad de la información para garantizar la fiabilidad e integridad de los datos que se utilizan en el reporting.


FORMACIÓN BÁSICA


  • Formación técnica superior (Informática, matemática, o cualquier otra rama financiera o Ingeniería).
  • Valoraremos positivamente que aportes formación complementaria (Máster o postgrado) relacionado.


FORMACIÓN ESPECÍFICA


  • Conocimientos avanzados en analítica de datos (Python, SAS, SQL, R,…).
  • Experiencia en tratamientos de bases de datos y ficheros.
  • Que aportes conocimientos en elaboración y generación de informes.
  • Conocimientos nivel avanzado paquete MS Office. En especial: Word, Excel y Power Point.
  • Valorable nivel avanzado de inglés (B2 mín.).
  • Valorables conocimientos financieros.


EXPERIENCIA


  • 2-3 años de experiencia en el tratamiento y análisis de datos financieros, preferiblemente en el sector bancario.


HABILIDADES CLAVE:


  • Fuerte capacidad analítica para el manejo de grandes volúmenes de datos.
  • Excelentes competencias de comunicación, tanto para trabajar en equipo como para presentar resultados.
  • Proactividad, iniciativa e interés genuino en comprender el impacto y propósito de tu trabajo.


LO QUE VALORAMOS EN TI:


  • Actitud resolutiva y curiosidad por mejorar procesos.
  • Capacidad para identificar patrones y generar insights útiles para la toma de decisiones.
  • Experiencia adicional en herramientas específicas de reporting será un plus.



Si eres una persona con iniciativa, habilidades analíticas destacadas y deseas crecer en un entorno dinámico dentro del sector bancario, ¡te estamos buscando!

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-09,[] +4090318496,https://se.linkedin.com/jobs/view/junior-data-analyst-at-ikea-4090318496?position=29&pageNum=0&refId=s3ME%2B3nV0yYl%2Fs%2FYfYdbKQ%3D%3D&trackingId=7NhCxEMRm5%2FIPr877N2csg%3D%3D,Junior Data Analyst,IKEA,"Malmo, Skåne County, Sweden","WHO YOU ARE We are looking for a Junior Data Analyst to join us in developing ways for IKEA to stay relevant for our customers. We are using data and analytics within cross-functional teams, to create value all along our customer’s journey. + +Our diverse Data & Analytics team for Retail Insights & Analytics, Omni Meeting Points is growing and we would love to talk with you, if you recognize yourself in some of the following: + +• passionate about understanding a business problem and applying Data & Analytics to try and solve them +• have a strong quantitative background in math, computer science, engineering, economics or equivalent +• love being creative through code (SQL and Python or similar programming language) +• can be hypothesis-driven when you approach a problem and data +• love (data) storytelling and use visualizations of data to explain facts +• take ownership and independently drive towards desired outcomes +• know about developing easy-to-use BI dashboards in different tools (PowerBI, Looker Studio,..) +• have experience working in retail or e-commerce +• are a team player who takes ownership, builds cross-functional relationships with peers and loves sharing knowledge with others +• proactively manage relevant stakeholders +• are curious, self-directed and want to keep learning! + +This is our wish list! If you don’t recognize yourself in all these points, you might still be an excellent candidate for the role. We like to think long-term and invest in people’s development together with us. + +The IKEA culture and values are very much a part of our business and day-to-day work life. For you to thrive and grow with IKEA it’s important for us that you share our values! You can read more about our values and life at IKEA on our website www.ikea.com. A DAY IN YOUR LIFE WITH US You’ll be a vital part in the transformation of IKEA into a more data-driven company by ensuring that data and insights become a natural part of the organizational workflow and impact present and future decisions on business and product strategy. This means: + +• Generate actionable insights to help your stakeholders make better-informed decisions +• Having a hypothesis-driven approach to data collection and exploration +• Create presentations that tell a clear story and inspire stakeholders +• Develop metrics that can be used to monitor impact + +Perhaps you have your questions to ask? Our ultimate goal is to create a better everyday life for the many people by creating a unique partnership with each customer. To do so, we want to understand our customers, to give customers the most beneficial offerings for them exactly when they need it, and to support them throughout their journey with IKEA in the best way possible. TOGETHER AS A TEAM You will work in Retail Insights and Analytics together with other Data Analysts, - Scientists, - Engineers, Insights Specialists & Leaders. Together you will be joining an overarching Insights and Analytics team that delivers actionable insights to enable data-driven decision making and strategic opportunity finding to fuel growth, efficiency and competitive advantage across all retail areas. + +It will be a mix of data discovery, insights creation, data visualization and writing code – as well as talking with product owners and business stakeholders. + +Our team specializes in improving retail performance across all Omni Meeting Points: Remote (phone, chat, social media), Physical, and Digital/Online. With a proven track record of delivering growth-driving insights, we integrate cross-functional knowledge to ensure a comprehensive understanding of End-to-end business performance. + +IKEA has long been a global leader in home furnishing. We are proud of our vision to improve the everyday life of the many people. But our industry is quickly changing, and we need to adapt to stay competitive. + +As part of IKEA’s journey to strengthen our digital capabilities, we are building a Data & Analytics function. This team is working across the company, ranging from customer modeling, pricing, online shopping, and visual intelligence to logistics optimization. + +We see so many opportunities for what we can accomplish and have the ambition to be a world-class team. At the same time, we believe that our work is not just about building models, but also about learning and having fun together. + +We can offer you: + +• Work on some very interesting problems as described above, and you are encouraged to spot new opportunities or to collaborate with Data Analytics colleagues in other specialist teams. + +• Opportunities to have a global impact with your work. +• Flexible and modern tools: we deploy on Google Cloud Platform and we use a lot of open-source tools across the board. +• Hardware and OS of your choice. +• A team of great colleagues to learn with and from (with world-class experience across all aspects of Data Analytics). +• Continuous learning (we aim to spend 20% of our working time on learning). +• Flexible and friendly working environment. QUESTIONS AND SUPPORT? LET'S CONNECT! Does this sound like your next challenge? IKEA offers an exciting and empowering work environment in a global workplace. And as the world’s leader at life at home, you have exceptional opportunities to grow and develop together with us. + +If you have questions regarding the recruitment system, please reach out to Annette Björkquist-Åhstedt at annette.bjorkquist-ahstedt@ingka.ikea.com. Please apply with your application in English. Note that we can’t process any applications through email. + +We look forward to learning more about you! + +Thank you! +Show more ","
+ + + + + +
+
+ WHO YOU ARE We are looking for a Junior Data Analyst to join us in developing ways for IKEA to stay relevant for our customers. We are using data and analytics within cross-functional teams, to create value all along our customer’s journey.

Our diverse Data & Analytics team for Retail Insights & Analytics, Omni Meeting Points is growing and we would love to talk with you, if you recognize yourself in some of the following:

• passionate about understanding a business problem and applying Data & Analytics to try and solve them
• have a strong quantitative background in math, computer science, engineering, economics or equivalent
• love being creative through code (SQL and Python or similar programming language)
• can be hypothesis-driven when you approach a problem and data
• love (data) storytelling and use visualizations of data to explain facts
• take ownership and independently drive towards desired outcomes
• know about developing easy-to-use BI dashboards in different tools (PowerBI, Looker Studio,..)
• have experience working in retail or e-commerce
• are a team player who takes ownership, builds cross-functional relationships with peers and loves sharing knowledge with others
• proactively manage relevant stakeholders
• are curious, self-directed and want to keep learning!

This is our wish list! If you don’t recognize yourself in all these points, you might still be an excellent candidate for the role. We like to think long-term and invest in people’s development together with us.

The IKEA culture and values are very much a part of our business and day-to-day work life. For you to thrive and grow with IKEA it’s important for us that you share our values! You can read more about our values and life at IKEA on our website www.ikea.com. A DAY IN YOUR LIFE WITH US You’ll be a vital part in the transformation of IKEA into a more data-driven company by ensuring that data and insights become a natural part of the organizational workflow and impact present and future decisions on business and product strategy. This means:

• Generate actionable insights to help your stakeholders make better-informed decisions
• Having a hypothesis-driven approach to data collection and exploration
• Create presentations that tell a clear story and inspire stakeholders
• Develop metrics that can be used to monitor impact

Perhaps you have your questions to ask? Our ultimate goal is to create a better everyday life for the many people by creating a unique partnership with each customer. To do so, we want to understand our customers, to give customers the most beneficial offerings for them exactly when they need it, and to support them throughout their journey with IKEA in the best way possible. TOGETHER AS A TEAM You will work in Retail Insights and Analytics together with other Data Analysts, - Scientists, - Engineers, Insights Specialists & Leaders. Together you will be joining an overarching Insights and Analytics team that delivers actionable insights to enable data-driven decision making and strategic opportunity finding to fuel growth, efficiency and competitive advantage across all retail areas.

It will be a mix of data discovery, insights creation, data visualization and writing code – as well as talking with product owners and business stakeholders.

Our team specializes in improving retail performance across all Omni Meeting Points: Remote (phone, chat, social media), Physical, and Digital/Online. With a proven track record of delivering growth-driving insights, we integrate cross-functional knowledge to ensure a comprehensive understanding of End-to-end business performance.

IKEA has long been a global leader in home furnishing. We are proud of our vision to improve the everyday life of the many people. But our industry is quickly changing, and we need to adapt to stay competitive.

As part of IKEA’s journey to strengthen our digital capabilities, we are building a Data & Analytics function. This team is working across the company, ranging from customer modeling, pricing, online shopping, and visual intelligence to logistics optimization.

We see so many opportunities for what we can accomplish and have the ambition to be a world-class team. At the same time, we believe that our work is not just about building models, but also about learning and having fun together.

We can offer you:

• Work on some very interesting problems as described above, and you are encouraged to spot new opportunities or to collaborate with Data Analytics colleagues in other specialist teams.

• Opportunities to have a global impact with your work.
• Flexible and modern tools: we deploy on Google Cloud Platform and we use a lot of open-source tools across the board.
• Hardware and OS of your choice.
• A team of great colleagues to learn with and from (with world-class experience across all aspects of Data Analytics).
• Continuous learning (we aim to spend 20% of our working time on learning).
• Flexible and friendly working environment. QUESTIONS AND SUPPORT? LET'S CONNECT! Does this sound like your next challenge? IKEA offers an exciting and empowering work environment in a global workplace. And as the world’s leader at life at home, you have exceptional opportunities to grow and develop together with us.

If you have questions regarding the recruitment system, please reach out to Annette Björkquist-Åhstedt at annette.bjorkquist-ahstedt@ingka.ikea.com. Please apply with your application in English. Note that we can’t process any applications through email.

We look forward to learning more about you!

Thank you! +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-04,[] +4099929558,https://hu.linkedin.com/jobs/view/data-analyst-at-docler-holding-budapest-4099929558?position=31&pageNum=0&refId=s3ME%2B3nV0yYl%2Fs%2FYfYdbKQ%3D%3D&trackingId=Ar6gj4tmxGnKD5svMBR%2F9A%3D%3D,Data Analyst,Docler Holding Budapest,"Budapest, Budapest, Hungary","Company Description + +Welcome to Byborg! As a leader in IT and streaming solutions, we deliver high-quality services for premium online experiences. + +Headquartered in Luxembourg and operating globally, our company is proud of its diversity, with over 40 different nationalities working side by side. Since its launch, our flagship product has led the market, continually pushing the boundaries of digital innovation and today our platforms serve millions of users daily. + +Working with a wide range of cutting-edge technologies and constantly pushing the envelope in AI experimentation, we ensure robust and reliable performance through our powerful network of data centers. Furthermore, our advanced design and testing methods, including Behavior-Driven Development, set us apart. + +We are proud of our dynamic portfolio, featuring over 16 leading and fast-growing brands. These include our streaming platforms (LiveJasmin.com, Cherry.TV, IsLive.com, Oranum.com), our marketing and advertising services (AdSupply, AWEmpire, TwinRed), and our entertainment and lifestyle brands (LoyalFans.com, The Million Roses, Kinkly.com). + +Are you looking for new challenges in an international, collaborative environment? The Byborg squad is seeking passionate individuals ready to make an impact. Join us in our inclusive workplace where you will be appreciated, and you can grow and achieve your potential. Help us shape the future! + +Job Description + + +Design, analyze, and interpret the results of experiments +Drive the collection of new data and the refinement of existing data sources +Fine-tune recommender system and search engine +Implement and test new machine learning algorithms + + +Qualifications + + +Bachelor’s degree or higher in Data Science, Statistics, Mathematics, Computer Science or another quantitative field +Experience with recommender systems and/or search engines is considered an asset +Familiarity with machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their advantages/drawbacks +Experience using Python and Python data analysis libraries (pandas, numpy, scikit-learn, tensorflow) and SQL +Strong data & logical analysis skills +Knowledge of advanced statistical techniques and concepts (AB testing, statistical hypothesis testing, regression, properties of distributions, etc.) and their real-world applications +Experience with data visualization tools like Matplotlib, Seaborn, Kibana +Experience with C# or/and Java is considered a plus + + +Additional Information + +What We Offer + + +An exceptional compensation package along with relocation support to help you move to the Grand Duchy +Your health is our wealth: private health insurance and free gym membership +On top of the minimum 26 vacation days, we also provide additional days the longer you work for us +Forgot your morning grub at home? We provide daily breakfast for our employees, energizing them for the day ahead and helping them connect with each other +The opportunity to see your work directly contribute to the success of the company +When you grow, we grow: You have the chance to attend events, meetups, and other perks for your professional growth +You’re joining the #ByborgSquad and you are going to look the part! We give out company-branded merchandise to every new joiner +And of course, a fun, professional, and collaborative work culture + + +Byborg Enterprises is an equal employment opportunity employer. We consider individuals for employment based on their skills, abilities and experience. We thrive to attract and hire a strong, talented and diverse workforce, prohibiting discrimination based on race, color, religious or political beliefs, age, nationality, physical, mental or developmental disability, gender, sexual orientation. + +DISCLAIMER: This job description is a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. Contents are subject to change at management's discretion. + +NOTE: Byborg Enterprises SA does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency without prior approval from our Legal and Recruiting Department to be unsolicited, and such submissions will not be recognized for purposes of “ownership” of the candidate. + +We are in it for the long haul so your future is safe with us. +Show more ","
+ + + + + +
+
+ Company Description

Welcome to Byborg! As a leader in IT and streaming solutions, we deliver high-quality services for premium online experiences.

Headquartered in Luxembourg and operating globally, our company is proud of its diversity, with over 40 different nationalities working side by side. Since its launch, our flagship product has led the market, continually pushing the boundaries of digital innovation and today our platforms serve millions of users daily.

Working with a wide range of cutting-edge technologies and constantly pushing the envelope in AI experimentation, we ensure robust and reliable performance through our powerful network of data centers. Furthermore, our advanced design and testing methods, including Behavior-Driven Development, set us apart.

We are proud of our dynamic portfolio, featuring over 16 leading and fast-growing brands. These include our streaming platforms (LiveJasmin.com, Cherry.TV, IsLive.com, Oranum.com), our marketing and advertising services (AdSupply, AWEmpire, TwinRed), and our entertainment and lifestyle brands (LoyalFans.com, The Million Roses, Kinkly.com).

Are you looking for new challenges in an international, collaborative environment? The Byborg squad is seeking passionate individuals ready to make an impact. Join us in our inclusive workplace where you will be appreciated, and you can grow and achieve your potential. Help us shape the future!

Job Description

  • Design, analyze, and interpret the results of experiments
  • Drive the collection of new data and the refinement of existing data sources
  • Fine-tune recommender system and search engine
  • Implement and test new machine learning algorithms

Qualifications

  • Bachelor’s degree or higher in Data Science, Statistics, Mathematics, Computer Science or another quantitative field
  • Experience with recommender systems and/or search engines is considered an asset
  • Familiarity with machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their advantages/drawbacks
  • Experience using Python and Python data analysis libraries (pandas, numpy, scikit-learn, tensorflow) and SQL
  • Strong data & logical analysis skills
  • Knowledge of advanced statistical techniques and concepts (AB testing, statistical hypothesis testing, regression, properties of distributions, etc.) and their real-world applications
  • Experience with data visualization tools like Matplotlib, Seaborn, Kibana
  • Experience with C# or/and Java is considered a plus

Additional Information

What We Offer

  • An exceptional compensation package along with relocation support to help you move to the Grand Duchy
  • Your health is our wealth: private health insurance and free gym membership
  • On top of the minimum 26 vacation days, we also provide additional days the longer you work for us
  • Forgot your morning grub at home? We provide daily breakfast for our employees, energizing them for the day ahead and helping them connect with each other
  • The opportunity to see your work directly contribute to the success of the company
  • When you grow, we grow: You have the chance to attend events, meetups, and other perks for your professional growth
  • You’re joining the #ByborgSquad and you are going to look the part! We give out company-branded merchandise to every new joiner
  • And of course, a fun, professional, and collaborative work culture

Byborg Enterprises is an equal employment opportunity employer. We consider individuals for employment based on their skills, abilities and experience. We thrive to attract and hire a strong, talented and diverse workforce, prohibiting discrimination based on race, color, religious or political beliefs, age, nationality, physical, mental or developmental disability, gender, sexual orientation.

DISCLAIMER: This job description is a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. Contents are subject to change at management's discretion.

NOTE: Byborg Enterprises SA does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency without prior approval from our Legal and Recruiting Department to be unsolicited, and such submissions will not be recognized for purposes of “ownership” of the candidate.

We are in it for the long haul so your future is safe with us. +
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",2024-12-13,[] +4087231902,https://es.linkedin.com/jobs/view/data-analyst-intern-at-lingokids-4087231902?position=35&pageNum=0&refId=s3ME%2B3nV0yYl%2Fs%2FYfYdbKQ%3D%3D&trackingId=MI7JyK2Zx9ZwNu%2Fg5nib%2Bw%3D%3D,Data Analyst Intern,Lingokids,Greater Madrid Metropolitan Area,"Lingokids is on a mission to help families raise amazing kids through Playlearning™. Want to come with us? + +Lingokids are revolutionizing kids learning. We’ve already helped millions of children to become confident, conscious, resilient, lifelong learners but we’re nowhere near done. + + + + +We want every single child to reach their full potential—and we’re looking for remarkable people to drive us forward on this journey and help shape a brighter future for families everywhere. + + + + +On the next page of our neverending story is a hunt for the best Data Analyst Intern in the business. Up for the challenge? + + + + +Join the Playlearning™ revolution + +At Lingokids we believe in letting learning and play collide so kids’ curiosity can lead the way. We’re so passionate about this, we even created our own word. Yes, really! Playlearning™. + + + + +We create games, animated series, podcasts, songs, videos, courses and more, all handcrafted by our dedicated team of storytellers. All of our Playlearning™ content is designed to boost academic progress, teach modern life skills and bring joy to children aged 2-8. Our free app has 100 million users and our YouTube channel has 2.5 million subscribers, teleporting millions of little learners to the Lingokids universe every single day. + + + + +We’re proud of our safe, ad-free environment that prioritizes healthy, peace-of-mind play. No gremlins grabbing personal data here, nuh uh. Best of all? Our Playlearning™ content is backed by education experts from around the world. + + + + +But wait! There’s more? We’re expanding our portfolio with licensed digital products and partnerships with brands like Amazon, Ravensburger, UNICEF, Tosta Rica, H&M, Ikea, and McDonald's. + + + + +What you’ll do + +Write and optimize SQL queries to ensure efficient data extraction and reporting. +Assist in designing and maintaining data warehouse architecture for optimal performance. +Collaborate with the team to support ETL processes, ensuring smooth data flow. +Contribute to dbt projects for data modeling and pipeline management. +Create and maintain dashboards using tools like Looker to deliver insights. +Help model data for various business scenarios, ensuring alignment with business needs. +Manage existing alerts for monitoring data issues and propose new ones. +Provide support to both data engineers and data analysts, acting as a bridge between the two teams. + + + + +What you’ll bring + +Proficiency in SQL with a solid understanding of database structures and optimization. +A good grasp of data warehouse principles and ETL processes. +Familiarity with dbt (a plus, but not mandatory). +Basic experience with business intelligence tools such as Looker or Tableau. +Analytical thinking and the ability to translate business requirements into data solutions. +Eagerness to learn and collaborate within a dynamic team environment. + + + + +English is a must. We are a multicultural team, and we are providing a service in English so, we don't care about certificates, but we expect you to be able to communicate fluently. + + + + +Life at Lingokids + +🏡 Hybrid work + +We promote a remote-friendly culture, allowing flexible work arrangements between office and home. There are no mandatory office days, although we will ask you to come in for events or team building activities. + + + + +🙌 Feedback culture + +Feedback is the breakfast of champions, and we take it seriously! We have a real-time and honest feedback culture, and a formal 360º assessment every 6 months. + + + + + + + +Don't be a stranger + +Not ticking all the boxes for this particular role? We’d still love to hear from you! We’re on the hunt for someone who’s passionate about our mission, not someone who’s perfect on paper. + + + + +Diversity, Equity, and Inclusion + +Lingokids is committed to creating an equitable and inclusive environment where people from all backgrounds can thrive. We believe diversity fuels our innovation. Every day, we teach kids about the strength found in differences and this remains a value that is core to our Playlearning™ approach. + +We’ll consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. + +Show more ","
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Lingokids is on a mission to help families raise amazing kids through Playlearning™. Want to come with us?

Lingokids are revolutionizing kids learning. We’ve already helped millions of children to become confident, conscious, resilient, lifelong learners but we’re nowhere near done.


We want every single child to reach their full potential—and we’re looking for remarkable people to drive us forward on this journey and help shape a brighter future for families everywhere.


On the next page of our neverending story is a hunt for the best Data Analyst Intern in the business. Up for the challenge?


Join the Playlearning™ revolution

At Lingokids we believe in letting learning and play collide so kids’ curiosity can lead the way. We’re so passionate about this, we even created our own word. Yes, really! Playlearning™.


We create games, animated series, podcasts, songs, videos, courses and more, all handcrafted by our dedicated team of storytellers. All of our Playlearning™ content is designed to boost academic progress, teach modern life skills and bring joy to children aged 2-8. Our free app has 100 million users and our YouTube channel has 2.5 million subscribers, teleporting millions of little learners to the Lingokids universe every single day.


We’re proud of our safe, ad-free environment that prioritizes healthy, peace-of-mind play. No gremlins grabbing personal data here, nuh uh. Best of all? Our Playlearning™ content is backed by education experts from around the world.


But wait! There’s more? We’re expanding our portfolio with licensed digital products and partnerships with brands like Amazon, Ravensburger, UNICEF, Tosta Rica, H&M, Ikea, and McDonald's.


What you’ll do

  • Write and optimize SQL queries to ensure efficient data extraction and reporting.
  • Assist in designing and maintaining data warehouse architecture for optimal performance.
  • Collaborate with the team to support ETL processes, ensuring smooth data flow.
  • Contribute to dbt projects for data modeling and pipeline management.
  • Create and maintain dashboards using tools like Looker to deliver insights.
  • Help model data for various business scenarios, ensuring alignment with business needs.
  • Manage existing alerts for monitoring data issues and propose new ones.
  • Provide support to both data engineers and data analysts, acting as a bridge between the two teams.


What you’ll bring

  • Proficiency in SQL with a solid understanding of database structures and optimization.
  • A good grasp of data warehouse principles and ETL processes.
  • Familiarity with dbt (a plus, but not mandatory).
  • Basic experience with business intelligence tools such as Looker or Tableau.
  • Analytical thinking and the ability to translate business requirements into data solutions.
  • Eagerness to learn and collaborate within a dynamic team environment.


English is a must. We are a multicultural team, and we are providing a service in English so, we don't care about certificates, but we expect you to be able to communicate fluently.


Life at Lingokids

🏡 Hybrid work

We promote a remote-friendly culture, allowing flexible work arrangements between office and home. There are no mandatory office days, although we will ask you to come in for events or team building activities.


🙌 Feedback culture

Feedback is the breakfast of champions, and we take it seriously! We have a real-time and honest feedback culture, and a formal 360º assessment every 6 months.



Don't be a stranger

Not ticking all the boxes for this particular role? We’d still love to hear from you! We’re on the hunt for someone who’s passionate about our mission, not someone who’s perfect on paper.


Diversity, Equity, and Inclusion

Lingokids is committed to creating an equitable and inclusive environment where people from all backgrounds can thrive. We believe diversity fuels our innovation. Every day, we teach kids about the strength found in differences and this remains a value that is core to our Playlearning™ approach.

We’ll consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status.

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",2024-11-28,[] +4083389518,https://pt.linkedin.com/jobs/view/data-analyst-at-decskill-4083389518?position=37&pageNum=0&refId=s3ME%2B3nV0yYl%2Fs%2FYfYdbKQ%3D%3D&trackingId=KyjZLH1pd2gOCAsn7mV%2BLg%3D%3D,Data Analyst,Decskill,Porto Metropolitan Area,"Decskill, founded in 2014 as an IT Consulting Company, places paramount importance on its greatest asset: its people. Our main mission is to deliver value through knowledge and talent, and we achieve this by fostering a culture of excellence and investing in the development and well-being of our people. With over 600 dedicated professionals and offices in Lisbon, Porto, Madrid, and Luxembourg, Decskill operates across three core areas: + + + + +Decskill Talent: We believe that our people are key to our success. Through Decskill Talent, we empower our team to embrace the digital transformation challenges of our clients. We collaborate with clients to drive innovation, ensuring project success and business growth. + + + + +Decskill Boost: Equipping our team with the latest tools and methodologies, we optimize Time-to-Market and deliver innovative solutions exceeding client expectations. + + + + +Decskill Connect: Our team collaborates closely with clients to implement and manage IT infrastructures that generate long-term value. + + + + +At Decskill, we believe that by nurturing and empowering our people to confront the challenges of digital transformation, we create value not only for our clients but also for our entire ecosystem, fostering a digital community dedicated to growth and progress. + + + + +We are looking for a Data Analyst for a hybrid project based in Porto (2x/Week). + + + + +Scope: You will report hierarchically to the Team Leader. The marketing side of the Hub has three mid-sized teams (Data Scientists, Data Analysts and Python developers), working together on complex challenges. The team is recent, agile, and everyone is growing together. More than 25 colleagues are working in the same field as you, sharing ideas and experiences, and you will be able to share your insights with the central teams. + + + + +Requirements: + ++2 years of experience; +Create and update PowerBI Dashboards; +Collect data (internal & external) and investigate their business value through data analysis and visualization; +Create and adapt data analysis models and tools; +Mount, execute and automate ETL processes for extracting data (with Python and SQL) to serve analytical needs; +Develop & improve data quality controls and standardize processes and analyses; +Ensure high quality of delivery; +Collect and visualize KPIs on the performance of our in-house models +Basic knowledge of data python packages; +Fluency in English. + + + + +If you’re interested in this job please send your CV to carolina.novais@decskill.com with reference CN/DAP. + + + + +Decskill is committed to equality and non-discrimination with all our talents. We recruit and promote talent, based on diversity and inclusion, regardless of age, gender, ethnicity, race, nationality or any other form of discrimination incompatible with the dignity of the human being. + +Show more ","
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Decskill, founded in 2014 as an IT Consulting Company, places paramount importance on its greatest asset: its people. Our main mission is to deliver value through knowledge and talent, and we achieve this by fostering a culture of excellence and investing in the development and well-being of our people. With over 600 dedicated professionals and offices in Lisbon, Porto, Madrid, and Luxembourg, Decskill operates across three core areas:


Decskill Talent: We believe that our people are key to our success. Through Decskill Talent, we empower our team to embrace the digital transformation challenges of our clients. We collaborate with clients to drive innovation, ensuring project success and business growth.


Decskill Boost: Equipping our team with the latest tools and methodologies, we optimize Time-to-Market and deliver innovative solutions exceeding client expectations.


Decskill Connect: Our team collaborates closely with clients to implement and manage IT infrastructures that generate long-term value.


At Decskill, we believe that by nurturing and empowering our people to confront the challenges of digital transformation, we create value not only for our clients but also for our entire ecosystem, fostering a digital community dedicated to growth and progress.


We are looking for a Data Analyst for a hybrid project based in Porto (2x/Week).


Scope: You will report hierarchically to the Team Leader. The marketing side of the Hub has three mid-sized teams (Data Scientists, Data Analysts and Python developers), working together on complex challenges. The team is recent, agile, and everyone is growing together. More than 25 colleagues are working in the same field as you, sharing ideas and experiences, and you will be able to share your insights with the central teams.


Requirements:

  • +2 years of experience;
  • Create and update PowerBI Dashboards;
  • Collect data (internal & external) and investigate their business value through data analysis and visualization;
  • Create and adapt data analysis models and tools;
  • Mount, execute and automate ETL processes for extracting data (with Python and SQL) to serve analytical needs;
  • Develop & improve data quality controls and standardize processes and analyses;
  • Ensure high quality of delivery;
  • Collect and visualize KPIs on the performance of our in-house models
  • Basic knowledge of data python packages;
  • Fluency in English.


If you’re interested in this job please send your CV to carolina.novais@decskill.com with reference CN/DAP.


Decskill is committed to equality and non-discrimination with all our talents. We recruit and promote talent, based on diversity and inclusion, regardless of age, gender, ethnicity, race, nationality or any other form of discrimination incompatible with the dignity of the human being.

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",2024-11-26,[] +4091845007,https://nl.linkedin.com/jobs/view/data-analyst-at-vivid-resourcing-4091845007?position=38&pageNum=0&refId=s3ME%2B3nV0yYl%2Fs%2FYfYdbKQ%3D%3D&trackingId=cu81NWCk8JO1GvJX7lD0UA%3D%3D,Data Analyst,Vivid Resourcing,"Amstelveen, North Holland, Netherlands","Job Title: Freelance Data Analyst (8-Month Contract) + +Location: Amstelveen, Netherlands (2 Days in Office, 3 Days Remote) + +Contract Duration: 8 Months + + + + +About the Company: + +Our client, an innovative company in Aviation, seeks a Data Analyst to support data-driven decision-making in a collaborative, flexible environment. + + + + +Key Responsibilities: + +Analyze and process large datasets to inform business decisions. +Create reports, dashboards, and visualizations to present insights. +Identify trends and KPIs to optimize processes. +Collaborate with teams to define and implement data solutions. +Conduct data validation and ensure consistency. +Provide ad-hoc analytical support and help maintain automated reporting tools. + + + + +Key Requirements: + +Bachelor’s degree in Data Science, Statistics, or related field. +Proven experience in data analysis and reporting tools (SQL, Excel, Python, R). +Proficiency in data visualization tools (Tableau, Power BI). +Strong attention to detail and ability to communicate findings clearly. +Experience with business intelligence tools or cloud platforms (AWS, Azure) is a plus. +Fluent Dutch + + + + +What We Offer: + +Hybrid work model (2 days in the office, 3 days remote). +Collaborative team environment. +Competitive compensation. + +Show more ","
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Job Title: Freelance Data Analyst (8-Month Contract)

Location: Amstelveen, Netherlands (2 Days in Office, 3 Days Remote)

Contract Duration: 8 Months


About the Company:

Our client, an innovative company in Aviation, seeks a Data Analyst to support data-driven decision-making in a collaborative, flexible environment.


Key Responsibilities:

  • Analyze and process large datasets to inform business decisions.
  • Create reports, dashboards, and visualizations to present insights.
  • Identify trends and KPIs to optimize processes.
  • Collaborate with teams to define and implement data solutions.
  • Conduct data validation and ensure consistency.
  • Provide ad-hoc analytical support and help maintain automated reporting tools.


Key Requirements:

  • Bachelor’s degree in Data Science, Statistics, or related field.
  • Proven experience in data analysis and reporting tools (SQL, Excel, Python, R).
  • Proficiency in data visualization tools (Tableau, Power BI).
  • Strong attention to detail and ability to communicate findings clearly.
  • Experience with business intelligence tools or cloud platforms (AWS, Azure) is a plus.
  • Fluent Dutch


What We Offer:

  • Hybrid work model (2 days in the office, 3 days remote).
  • Collaborative team environment.
  • Competitive compensation.

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",2024-12-06,[] +4087221272,https://fr.linkedin.com/jobs/view/data-analyst-intern-m-f-d-at-deezer-4087221272?position=49&pageNum=0&refId=s3ME%2B3nV0yYl%2Fs%2FYfYdbKQ%3D%3D&trackingId=ilf4%2FpGQPspTEhI8K7HW2g%3D%3D,Data Analyst Intern m/f/d,Deezer,"Paris, Île-de-France, France","Company Description + +LIVE THE MUSIC WITH US + +From a pioneer tech start-up created in 2007, Deezer has become one of the first French unicorns and the second largest independent music streaming platform in the world. + +At sixteen years old, we’re only just coming of age. Now listed on #EuroNext, Deezer is a rapidly-growing, cutting-edge player in the music streaming market. If you want an environment where you can make your voice heard and be at the forefront of music and tech, look no further! + +We believe music is all about embracing the things that make us different. + +Deezer is a vibrant community that celebrates uniqueness, diversity and individuality, and thrives on collaboration. + +Our international and passionate teams pride themselves on being at the forefront of the music experience, going beyond streaming and helping the world to Live the Music. We’re constantly evolving alongside our customers, partners, artists and employees — striving to make Deezer the most personal and innovative streaming service in the world. + +Ready for an electrifying journey? Apply now and do your part in bringing extraordinary music experiences to people’s lives! + + +Join Us** + + +Job Description + +As an intern in the Data Analytics team, you will support data analysts in driving projects aimingat improving performance and decision-making accross the company. + +Data analysts at Deezer make sure any strategic decision is based on the right data-driven insights.They keep an open and growth mindset in order to continuously develop new methodologies, analytical skills and business acumen. + +What you will do: + + +Work closely withkey stakeholders to understand their vision and challenges +Monitor business KPIs and conduct in-depth analyses that help stakeholders understand their business and make the right decisions +Upgrade and automate regular business reportsand create repeatable data analysis for our stakeholders +Design, build and maintain data visualisations and dashboards to make data accessible and easily understandable +Build your own data pipelines: from the logs to the final dataset using python and sql + + +What We Bring To The Table + + +Constant upskilling with experts on business, tech, data and dataviz methodologies +Gain a 360 vision of our products and business, thanks to the combination of analytics anddata science +Learn and work with a big team of fellow analysts in a collegiate environment + + +Qualifications + +This role is excellent for a person with: + + +Top Business/Engineering school students looking for gap year/final year internship +Proficient in SQL or equivalent and experience with Data Visualization (e.g. Tableau) +Tenacious: being ready to tackle complex problems with insights and analyses, at the crossroads of tech, product and business +Curious: eager to learn constantly +High standards: rigorous, structured, and high attention to detail +A business-oriented mindset and excellent presentation skills +Ability to own and drive projects with a creative mindset while remaining a team player +Fluent in English and an affinity with the music industry :) + + +The starting date for this position is asap. + +If you don’t meet 100% of the qualifications outlined above, tell us why you’d still be a great fit for this role in your application! + +Additional Information + +At Deezer, you can be your true self as we believe that #everyvoicematters. We strive to build an inclusive culture and foster a diverse environment. Because we care and want to ensure each employee feels welcome and safe at work, we continuously focus on fighting biases and helping diverse teams work well together through multiple learning opportunities, e-learnings and workshops right from the onboarding: + + +Regular Diversity & Inclusion internal and external talks +Dedicated employee work streams on Gender equity, Ethnicity & Culture, Disability and LGBTQ+ +Multiple e-learnings and mandatory training sessions for all managers +English and French courses for all, so that everyone can connect and feel included + + +Beyond benefits like transportation, we offer you extra perks like: + + +A Deezer premium family account for free +Access to gym classes +Deezer parties several times a year and drinks every thursday +Allowance for sports, travelling and culture … +Meal vouchers +Great offices always located in dynamic and attractive districts, whether in Paris, London, Berlin or Sao Paulo! + + +If you want to learn more about life and culture at Deezer, please visit our Welcome to the Jungle page here! +Show more ","
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+ Company Description

LIVE THE MUSIC WITH US

From a pioneer tech start-up created in 2007, Deezer has become one of the first French unicorns and the second largest independent music streaming platform in the world.

At sixteen years old, we’re only just coming of age. Now listed on #EuroNext, Deezer is a rapidly-growing, cutting-edge player in the music streaming market. If you want an environment where you can make your voice heard and be at the forefront of music and tech, look no further!

We believe music is all about embracing the things that make us different.

Deezer is a vibrant community that celebrates uniqueness, diversity and individuality, and thrives on collaboration.

Our international and passionate teams pride themselves on being at the forefront of the music experience, going beyond streaming and helping the world to Live the Music. We’re constantly evolving alongside our customers, partners, artists and employees — striving to make Deezer the most personal and innovative streaming service in the world.

Ready for an electrifying journey? Apply now and do your part in bringing extraordinary music experiences to people’s lives!

  • Join Us**

Job Description

As an intern in the Data Analytics team, you will support data analysts in driving projects aimingat improving performance and decision-making accross the company.

Data analysts at Deezer make sure any strategic decision is based on the right data-driven insights.They keep an open and growth mindset in order to continuously develop new methodologies, analytical skills and business acumen.

What you will do:

  • Work closely withkey stakeholders to understand their vision and challenges
  • Monitor business KPIs and conduct in-depth analyses that help stakeholders understand their business and make the right decisions
  • Upgrade and automate regular business reportsand create repeatable data analysis for our stakeholders
  • Design, build and maintain data visualisations and dashboards to make data accessible and easily understandable
  • Build your own data pipelines: from the logs to the final dataset using python and sql

What We Bring To The Table

  • Constant upskilling with experts on business, tech, data and dataviz methodologies
  • Gain a 360 vision of our products and business, thanks to the combination of analytics anddata science
  • Learn and work with a big team of fellow analysts in a collegiate environment

Qualifications

This role is excellent for a person with:

  • Top Business/Engineering school students looking for gap year/final year internship
  • Proficient in SQL or equivalent and experience with Data Visualization (e.g. Tableau)
  • Tenacious: being ready to tackle complex problems with insights and analyses, at the crossroads of tech, product and business
  • Curious: eager to learn constantly
  • High standards: rigorous, structured, and high attention to detail
  • A business-oriented mindset and excellent presentation skills
  • Ability to own and drive projects with a creative mindset while remaining a team player
  • Fluent in English and an affinity with the music industry :)

The starting date for this position is asap.

If you don’t meet 100% of the qualifications outlined above, tell us why you’d still be a great fit for this role in your application!

Additional Information

At Deezer, you can be your true self as we believe that #everyvoicematters. We strive to build an inclusive culture and foster a diverse environment. Because we care and want to ensure each employee feels welcome and safe at work, we continuously focus on fighting biases and helping diverse teams work well together through multiple learning opportunities, e-learnings and workshops right from the onboarding:

  • Regular Diversity & Inclusion internal and external talks
  • Dedicated employee work streams on Gender equity, Ethnicity & Culture, Disability and LGBTQ+
  • Multiple e-learnings and mandatory training sessions for all managers
  • English and French courses for all, so that everyone can connect and feel included

Beyond benefits like transportation, we offer you extra perks like:

  • A Deezer premium family account for free
  • Access to gym classes
  • Deezer parties several times a year and drinks every thursday
  • Allowance for sports, travelling and culture …
  • Meal vouchers
  • Great offices always located in dynamic and attractive districts, whether in Paris, London, Berlin or Sao Paulo!

If you want to learn more about life and culture at Deezer, please visit our Welcome to the Jungle page here! +
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",2024-11-28,[] +4098048458,https://ie.linkedin.com/jobs/view/data-analyst-at-cpl-4098048458?position=52&pageNum=0&refId=s3ME%2B3nV0yYl%2Fs%2FYfYdbKQ%3D%3D&trackingId=4KiV1pKiXZiep9jRNipPIw%3D%3D,Data Analyst,Cpl,"Dublin, County Dublin, Ireland","Title: Data Analyst + +Grade: Level D + +Department: Business Process Improvement and IT + +Reporting to: Data Team Manager, BPI & IT Department + +Location: Enterprise Ireland offices at East Point Dublin, Shannon & Galway + +Job Reference: EI.145.24E + +_____________________________________________________________________________ + +Applicants must have the legal right to live and work and be available to work in the location. + +_____________________________________________________________________________ + +Role Purpose + +The Business Process Improvement & Information Technology Department (BPI & IT) at Enterprise Ireland is seeking a Data Analyst to join us on our transformation journey. We oversee a diverse portfolio of information systems, databases, websites, online client services, and a global network and communications infrastructure. Our team collaborates across the organization to develop and procure processes and technology that support our operational and strategic needs while safeguarding organisational and client data. + +This transformational journey includes an overhaul of our target operating model, a redesign of our technical architecture and a strategic reconfiguration of our software platform landscape to meet future business objectives. A significant part of this journey will involve transitioning to a new CRM and Enterprise Data Management solution. + +Enterprise Ireland’s existing data infrastructure primarily consists of MS SQL Server Databases (On Premises and Cloud), Power BI Report Server (On-Premises), bespoke in-house developed CRM, Sales Force CRM for our overseas office network, Oracle Fusion Financials, Office 365 (E5 license) and SharePoint document libraries. + +In this role, you will play a pivotal role in enabling stakeholders to derive substantial value from our data assets, transforming them into actionable insights that drive strategic decisions and operational improvements. Leveraging our existing data environments—including relational and data warehouse databases, SSIS, SQL Agent Jobs, SQL Server Analytical Tabular model, and Power BI on-premise reports/dashboards, you will also be instrumental in the strategic design, implementation, and maintenance of our planned Enterprise Data Management solution, supporting our transformative journey towards our future data environments. + +This will involve: - + + +working closely with internal business teams and diverse data sets, including financial transactions, economic indicators, sales, employment, expenditure, investment datasets, and customer survey responses. +identifying creative and strategic opportunities. +assessing and improving reporting policies and corporate governance processes. +delivering exceptional experiences on high-profile projects. +building and developing relationships and acting as a key player in our data-driven initiatives. + + +Key Responsibilities: + +These responsibilities require a blend of technical expertise, strategic thinking, and effective communication skills, as the role of the Data Analyst will play a pivotal role in empowering stakeholders through data-driven insights. + +Data Analysis + + +Craft and execute complex queries on data repositories to address both ad hoc and in-depth data analysis requests, delivering valuable insights to the organization. +Apply statistical methods and data analysis techniques to uncover patterns, trends, and insights. +Conduct exploratory data analysis (EDA) to understand the data and identify key variables. + + +Database Management + + +Design, implement, manage and optimize data architectures such as relational Databases and Data Warehouse Star Schemas, to enhance data storage, retrieval, and analysis capabilities. + + +Data Visualisation + + +Design, implement and manage the Analytical hosting environment. +Design, implement and manage Data Model reporting schemas. +Create and manage rich interactive visualisations through data interpretation that provide insightful and actionable analytics, enabling stakeholders to make informed business decisions. + + +Data Governance & Compliance + + +Collaborate with security teams to adapt, manage, enhance, and enforce data governance policies, ensuring high standards of data access control and data privacy. +Ensure compliance with data privacy and security regulations. + + +Data Collection and Preparation + + +Assist in the design, implementation and management of data pipelines and workflows to efficiently assemble large, complex data sets from multiple sources in various formats. +Assist in ensuring data quality and integrity by implementing rigorous profiling, cleansing, augmentation, and transformation of data for analysis maintaining high standards of accuracy and reliability. + + +Collaboration + + +Engage with cross-functional teams to identify opportunities for leveraging data insights to drive and inform policy, operational, and business decisions. +Engage with the transformational team to integrate new technologies and data management practices into existing infrastructure. + + +Training and Support + + +Train and mentor stakeholders to enhance their understanding of and leverage data analytics methods and tools. +Provide technical expertise and support to end-users, resolving data and analytics issues promptly and effectively. +Document all data processes and procedures, contributing to the knowledge base and ensuring compliance with regulatory requirements. + + +Functional Competencies: + +These competencies enable the Data Analyst to contribute to data-driven strategies, enhance operational efficiency, and support the organization’s goals. + +Experience and Education + + +Substantial professional experience in data analysis or a closely related field is required. +Bachelor’s degree in data science, computer science, statistics, or a related field is advantageous. + + +Technical skills in: - + + +Data Modelling: Basic/Intermediate expertise in data modelling for efficient storage and retrieval is essential. Familiarity with Power BI schemas is highly desirable. +Data Visualization: Intermediate/advanced expertise in data visualization tools like Power BI or Tableau or similar is essential. Experience with cloud-based variants of visualisation tools is highly desirable. +SQL Programming: Intermediate/advanced skills in SQL for database programming and querying is essential. +Statistical Programming: Intermediate knowledge of statistical programming languages such as Python, R, or DAX or similar for data analysis is essential. +Advanced Excel: Intermediate/advanced expertise in Excel functionalities, including Power Query and Power Pivot, is essential. In-depth knowledge of data analysis functions within Excel is highly desirable. +Data Warehousing: Intermediate/advanced expertise in data warehousing design principles, including star schema models, is essential. Familiarity with modern data warehousing solutions such as Azure Synapse Analytics, Fabric, Databricks and Snowflake is highly desirable. +Data Pipelines and ELT/ETL Processes: Basic/Intermediate expertise in the design and management of data pipelines and ELT/ETL processes is required. Experience with tools like SSIS and Azure Data Factory or similar is highly desirable. +Database Design and Management: Intermediate understanding of relational database design principles is required. Proficiency in MS SQL Server and Azure SQL Database is highly desirable. +CI/CD tools: Basic experience of Azure Devops /GIT or similar is required. +Cloud Based CRM – Basic/Intermediate experience with a leading cloud-based CRM systems such as MS Dynamics, Salesforce, Zoho, Hubspot, Zendesk, Oracle Netsuite or similar is highly desirable. + + +Enterprise Ireland Behavioural Competencies + +Results Focused + +The ability to remain outcome and results focused with regard to business priorities and organisational goals, monitoring progress and adjusting approach ensuring delivery against the appropriate timescales. + +Innovation and Risk-Taking + +Actively encourages new ideas, experimentation and measured risk-taking, while always being on the lookout for opportunities to continuously improve business processes and efficiencies within Enterprise Ireland and client organisations. + +Problem Solving and Decision-Making + +The ability to be decisive and take tough decisions about clients, people and costs to deliver sustainable results, using the analysis of information and situations to make logical and sound decisions. + +Client Focused + +The ability to provide an excellent client service focusing on client needs and building and maintaining effective personal and business relationships to advance clients’ objectives and Enterprise Ireland strategy. + +Communicating With Impact To Influence Others + +Communicates in a manner that will persuade, convince and influence their own staff and others, both internally and externally, in order to motivate, inspire or encourage them to follow a particular course of action. + +Teamworking + +Co-operates with colleagues, shares information and respects the opinions and values of staff members. Understands the skills, experience and knowledge of staff members and maximises how these can be utilised to the benefit of the department, the organisation and the client. + +Embracing & Leading Change + +Understands the business agenda of Enterprise Ireland and embraces changes for area of responsibility and for external and internal clients. + +Acting / Leading with Integrity + +Lives the Enterprise Ireland purpose and values, acting genuinely and with integrity, in a manner that builds trust and engages and motivates others, placing the genuine needs of the client, the organisation, and staff ahead of personal agendas + +Networking + +Establishes and maintains mutually beneficial relationships with colleagues and other networks for the purpose of sharing information. + +Developing Yourself & Others + +Creates an environment that enables others to excel in terms of job performance. + +Salary Scale: + +€50,501 to €72,534 per annum contributory superannuation Rising to €74,277 by long service increments. + +€48,244 to €69,014 per annum non-contributory superannuation Rising to €70,670 by long service increments. + +Candidates should note that entry will be at the minimum of the relevant scale and the rate of remuneration may be adjusted from time to time in line with Government pay policy. Subject to satisfactory performance, increments may be payable in line with current Government Policy. + +** Point of entry on this salary scale may differ from the minimum point of the scale if the successful candidate is a current public or civil servant. ** + +Application and Selection Process + +The selection process may include shortlisting of candidates. The selection criteria will be based on the functional competency requirements listed as essential of the position. It is therefore important that you demonstrate a detailed and accurate account of where you believe your skills and experience meet the requirements for the position. This should be contained in a short document (maximum 2 pages – see template provided) accompanying your CV. + +To apply for the position, send a detailed CV and supporting document quoting reference number EI.145.24E to [email protected] to be received on or before Monday 13th January 2025. All correspondence will be acknowledged in writing by Cpl. + + +Show more ","
+ + + + + +
+
+ Title: Data Analyst

Grade: Level D

Department: Business Process Improvement and IT

Reporting to: Data Team Manager, BPI & IT Department

Location: Enterprise Ireland offices at East Point Dublin, Shannon & Galway

Job Reference: EI.145.24E

_____________________________________________________________________________

Applicants must have the legal right to live and work and be available to work in the location.

_____________________________________________________________________________

Role Purpose

The Business Process Improvement & Information Technology Department (BPI & IT) at Enterprise Ireland is seeking a Data Analyst to join us on our transformation journey. We oversee a diverse portfolio of information systems, databases, websites, online client services, and a global network and communications infrastructure. Our team collaborates across the organization to develop and procure processes and technology that support our operational and strategic needs while safeguarding organisational and client data.

This transformational journey includes an overhaul of our target operating model, a redesign of our technical architecture and a strategic reconfiguration of our software platform landscape to meet future business objectives. A significant part of this journey will involve transitioning to a new CRM and Enterprise Data Management solution.

Enterprise Ireland’s existing data infrastructure primarily consists of MS SQL Server Databases (On Premises and Cloud), Power BI Report Server (On-Premises), bespoke in-house developed CRM, Sales Force CRM for our overseas office network, Oracle Fusion Financials, Office 365 (E5 license) and SharePoint document libraries.

In this role, you will play a pivotal role in enabling stakeholders to derive substantial value from our data assets, transforming them into actionable insights that drive strategic decisions and operational improvements. Leveraging our existing data environments—including relational and data warehouse databases, SSIS, SQL Agent Jobs, SQL Server Analytical Tabular model, and Power BI on-premise reports/dashboards, you will also be instrumental in the strategic design, implementation, and maintenance of our planned Enterprise Data Management solution, supporting our transformative journey towards our future data environments.

This will involve: -

  • working closely with internal business teams and diverse data sets, including financial transactions, economic indicators, sales, employment, expenditure, investment datasets, and customer survey responses.
  • identifying creative and strategic opportunities.
  • assessing and improving reporting policies and corporate governance processes.
  • delivering exceptional experiences on high-profile projects.
  • building and developing relationships and acting as a key player in our data-driven initiatives.

Key Responsibilities:

These responsibilities require a blend of technical expertise, strategic thinking, and effective communication skills, as the role of the Data Analyst will play a pivotal role in empowering stakeholders through data-driven insights.

Data Analysis

  • Craft and execute complex queries on data repositories to address both ad hoc and in-depth data analysis requests, delivering valuable insights to the organization.
  • Apply statistical methods and data analysis techniques to uncover patterns, trends, and insights.
  • Conduct exploratory data analysis (EDA) to understand the data and identify key variables.

Database Management

  • Design, implement, manage and optimize data architectures such as relational Databases and Data Warehouse Star Schemas, to enhance data storage, retrieval, and analysis capabilities.

Data Visualisation

  • Design, implement and manage the Analytical hosting environment.
  • Design, implement and manage Data Model reporting schemas.
  • Create and manage rich interactive visualisations through data interpretation that provide insightful and actionable analytics, enabling stakeholders to make informed business decisions.

Data Governance & Compliance

  • Collaborate with security teams to adapt, manage, enhance, and enforce data governance policies, ensuring high standards of data access control and data privacy.
  • Ensure compliance with data privacy and security regulations.

Data Collection and Preparation

  • Assist in the design, implementation and management of data pipelines and workflows to efficiently assemble large, complex data sets from multiple sources in various formats.
  • Assist in ensuring data quality and integrity by implementing rigorous profiling, cleansing, augmentation, and transformation of data for analysis maintaining high standards of accuracy and reliability.

Collaboration

  • Engage with cross-functional teams to identify opportunities for leveraging data insights to drive and inform policy, operational, and business decisions.
  • Engage with the transformational team to integrate new technologies and data management practices into existing infrastructure.

Training and Support

  • Train and mentor stakeholders to enhance their understanding of and leverage data analytics methods and tools.
  • Provide technical expertise and support to end-users, resolving data and analytics issues promptly and effectively.
  • Document all data processes and procedures, contributing to the knowledge base and ensuring compliance with regulatory requirements.

Functional Competencies:

These competencies enable the Data Analyst to contribute to data-driven strategies, enhance operational efficiency, and support the organization’s goals.

Experience and Education

  • Substantial professional experience in data analysis or a closely related field is required.
  • Bachelor’s degree in data science, computer science, statistics, or a related field is advantageous.

Technical skills in: -

  • Data Modelling: Basic/Intermediate expertise in data modelling for efficient storage and retrieval is essential. Familiarity with Power BI schemas is highly desirable.
  • Data Visualization: Intermediate/advanced expertise in data visualization tools like Power BI or Tableau or similar is essential. Experience with cloud-based variants of visualisation tools is highly desirable.
  • SQL Programming: Intermediate/advanced skills in SQL for database programming and querying is essential.
  • Statistical Programming: Intermediate knowledge of statistical programming languages such as Python, R, or DAX or similar for data analysis is essential.
  • Advanced Excel: Intermediate/advanced expertise in Excel functionalities, including Power Query and Power Pivot, is essential. In-depth knowledge of data analysis functions within Excel is highly desirable.
  • Data Warehousing: Intermediate/advanced expertise in data warehousing design principles, including star schema models, is essential. Familiarity with modern data warehousing solutions such as Azure Synapse Analytics, Fabric, Databricks and Snowflake is highly desirable.
  • Data Pipelines and ELT/ETL Processes: Basic/Intermediate expertise in the design and management of data pipelines and ELT/ETL processes is required. Experience with tools like SSIS and Azure Data Factory or similar is highly desirable.
  • Database Design and Management: Intermediate understanding of relational database design principles is required. Proficiency in MS SQL Server and Azure SQL Database is highly desirable.
  • CI/CD tools: Basic experience of Azure Devops /GIT or similar is required.
  • Cloud Based CRM – Basic/Intermediate experience with a leading cloud-based CRM systems such as MS Dynamics, Salesforce, Zoho, Hubspot, Zendesk, Oracle Netsuite or similar is highly desirable.

Enterprise Ireland Behavioural Competencies

Results Focused

The ability to remain outcome and results focused with regard to business priorities and organisational goals, monitoring progress and adjusting approach ensuring delivery against the appropriate timescales.

Innovation and Risk-Taking

Actively encourages new ideas, experimentation and measured risk-taking, while always being on the lookout for opportunities to continuously improve business processes and efficiencies within Enterprise Ireland and client organisations.

Problem Solving and Decision-Making

The ability to be decisive and take tough decisions about clients, people and costs to deliver sustainable results, using the analysis of information and situations to make logical and sound decisions.

Client Focused

The ability to provide an excellent client service focusing on client needs and building and maintaining effective personal and business relationships to advance clients’ objectives and Enterprise Ireland strategy.

Communicating With Impact To Influence Others

Communicates in a manner that will persuade, convince and influence their own staff and others, both internally and externally, in order to motivate, inspire or encourage them to follow a particular course of action.

Teamworking

Co-operates with colleagues, shares information and respects the opinions and values of staff members. Understands the skills, experience and knowledge of staff members and maximises how these can be utilised to the benefit of the department, the organisation and the client.

Embracing & Leading Change

Understands the business agenda of Enterprise Ireland and embraces changes for area of responsibility and for external and internal clients.

Acting / Leading with Integrity

Lives the Enterprise Ireland purpose and values, acting genuinely and with integrity, in a manner that builds trust and engages and motivates others, placing the genuine needs of the client, the organisation, and staff ahead of personal agendas

Networking

Establishes and maintains mutually beneficial relationships with colleagues and other networks for the purpose of sharing information.

Developing Yourself & Others

Creates an environment that enables others to excel in terms of job performance.

Salary Scale:

€50,501 to €72,534 per annum contributory superannuation Rising to €74,277 by long service increments.

€48,244 to €69,014 per annum non-contributory superannuation Rising to €70,670 by long service increments.

Candidates should note that entry will be at the minimum of the relevant scale and the rate of remuneration may be adjusted from time to time in line with Government pay policy. Subject to satisfactory performance, increments may be payable in line with current Government Policy.

** Point of entry on this salary scale may differ from the minimum point of the scale if the successful candidate is a current public or civil servant. **

Application and Selection Process

The selection process may include shortlisting of candidates. The selection criteria will be based on the functional competency requirements listed as essential of the position. It is therefore important that you demonstrate a detailed and accurate account of where you believe your skills and experience meet the requirements for the position. This should be contained in a short document (maximum 2 pages – see template provided) accompanying your CV.

To apply for the position, send a detailed CV and supporting document quoting reference number EI.145.24E to [email protected] to be received on or before Monday 13th January 2025. All correspondence will be acknowledged in writing by Cpl.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-11,[] +4094671207,https://pt.linkedin.com/jobs/view/data-analyst-at-gerodigital-4094671207?position=53&pageNum=0&refId=s3ME%2B3nV0yYl%2Fs%2FYfYdbKQ%3D%3D&trackingId=wokH4TBnmeuFf0TtMrSH3Q%3D%3D,Data Analyst,GeroDigital,"Porto, Portugal","Antes de saberes quem somos, é importante saberes quem não somos. Não somos uma equipa qualquer. Somos muito mais do que isso. + +Com a nossa expertise em geração de leads, ajudamos clientes a tomar as melhores decisões na aquisição de produtos e serviços, fornecendo leads qualificadas que atendam às suas necessidades e desejos específicos. + +A nossa missão é inequívoca, ajudar pessoas, gerar sucesso, gerar impacto. + +Na Gerodigital, focamos no que realmente importa. Sabemos quem somos e somos apaixonados pelo que fazemos. Trabalhamos para que os nossos clientes se sintam felizes, porque acreditamos que o sucesso deles é o nosso sucesso. + +Estamos sempre à procura de profissionais que compartilhem os nossos valores e queiram fazer parte desta caminhada. + +A Missão: + + +Atualizar e manter dashboards no Power BI, garantindo dados precisos e análises claras para suportar decisões estratégicas +Gerir e otimizar bases de dados em ambiente Azure, garantindo segurança, integridade e desempenho +Automatizar processos de ETL para garantir a eficiência e a atualização dos dados +Garantir a integração de dados provenientes de diferentes fontes (APIs, bancos de dados externos, etc.) +Trabalhar em conjunto com a equipa de marketing e outros departamentos para compreender necessidades de dados e implementar soluções personalizadas +Manter-se atualizado com as últimas tendências e práticas em marketing digital, assegurando que a equipa esteja sempre a acompanhar a inovação + + + +Requirements + + +Pelo menos 2 anos de experiência com Power BI +Experiência comprovada em gerir bases de dados no Azure (SQL Database) +Conhecimentos de linguagens: SQL e Python +Conhecimentos de ferramentas de ETL e Excel +Conhecimentos de segurança em ambiente Azure +Capacidade analítica e habilidades para interpretar e comunicar dados de forma eficaz +Boa comunicação e perfil colaborativo +Inglês fluente: Porque a comunicação global é essencial +Experiência com ferramentas de machine learning ou análise preditiva (não obrigatório) +Experiência em empresas de marketing (não obrigatório) + + + +Benefits + + +Crescimento na Carreira: Uma excelente oportunidade para progredires na tua carreira +Formação Contínua: Acesso a um budget anual para formação, porque acreditamos em aprendizagem contínua +Flexibilidade: Regime de trabalho híbrido +Bem-estar em Primeiro Lugar: Seguro de saúde e acesso a benefícios empresariais +Excelentes Condições de Trabalho: Um ambiente que inspira e motiva +Show more ","
+ + + + + +
+
+ Antes de saberes quem somos, é importante saberes quem não somos. Não somos uma equipa qualquer. Somos muito mais do que isso.

Com a nossa expertise em geração de leads, ajudamos clientes a tomar as melhores decisões na aquisição de produtos e serviços, fornecendo leads qualificadas que atendam às suas necessidades e desejos específicos.

A nossa missão é inequívoca, ajudar pessoas, gerar sucesso, gerar impacto.

Na Gerodigital, focamos no que realmente importa. Sabemos quem somos e somos apaixonados pelo que fazemos. Trabalhamos para que os nossos clientes se sintam felizes, porque acreditamos que o sucesso deles é o nosso sucesso.

Estamos sempre à procura de profissionais que compartilhem os nossos valores e queiram fazer parte desta caminhada.

A Missão:

  • Atualizar e manter dashboards no Power BI, garantindo dados precisos e análises claras para suportar decisões estratégicas
  • Gerir e otimizar bases de dados em ambiente Azure, garantindo segurança, integridade e desempenho
  • Automatizar processos de ETL para garantir a eficiência e a atualização dos dados
  • Garantir a integração de dados provenientes de diferentes fontes (APIs, bancos de dados externos, etc.)
  • Trabalhar em conjunto com a equipa de marketing e outros departamentos para compreender necessidades de dados e implementar soluções personalizadas
  • Manter-se atualizado com as últimas tendências e práticas em marketing digital, assegurando que a equipa esteja sempre a acompanhar a inovação


Requirements

  • Pelo menos 2 anos de experiência com Power BI
  • Experiência comprovada em gerir bases de dados no Azure (SQL Database)
  • Conhecimentos de linguagens: SQL e Python
  • Conhecimentos de ferramentas de ETL e Excel
  • Conhecimentos de segurança em ambiente Azure
  • Capacidade analítica e habilidades para interpretar e comunicar dados de forma eficaz
  • Boa comunicação e perfil colaborativo
  • Inglês fluente: Porque a comunicação global é essencial
  • Experiência com ferramentas de machine learning ou análise preditiva (não obrigatório)
  • Experiência em empresas de marketing (não obrigatório)


Benefits

  • Crescimento na Carreira: Uma excelente oportunidade para progredires na tua carreira
  • Formação Contínua: Acesso a um budget anual para formação, porque acreditamos em aprendizagem contínua
  • Flexibilidade: Regime de trabalho híbrido
  • Bem-estar em Primeiro Lugar: Seguro de saúde e acesso a benefícios empresariais
  • Excelentes Condições de Trabalho: Um ambiente que inspira e motiva
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-06,[] +4084220165,https://pt.linkedin.com/jobs/view/data-analyst-at-closer-consulting-4084220165?position=54&pageNum=0&refId=s3ME%2B3nV0yYl%2Fs%2FYfYdbKQ%3D%3D&trackingId=EkATkda7JA9E5REFsVV0OQ%3D%3D,Data Analyst,Closer Consulting,"Porto, Portugal","Mutual Respect, Empathy, Innovation and Professional Pride. Do you see yourself within these values? + +Founded in 2006 under the mission ""To Challenge Complexity"", Closer Consulting is a Data Science company specialized in Business Intelligence, Advanced Analytics and Artificial Intelligence. + +By developing projects in the most diverse industries – Banking, Telecommunications, Health, Retail, Energy, Insurance or Aviation - we analyze data, transforming it into knowledge for our clients, allowing them to adopt the best decision-making for their respective organizations and businesses. + +We are now seeking a Data Analyst willing to accept new challenges in our Closer team. + +*For this position you need to have residency in Portugal. + + + + +ARE YOU THE ONE?? + + + + +As a Data Analyst you will use data analytical and visualization techniques to solve business issues in different geographies: + +•Create and update PowerBI Dashboards + +•Collect data (internal & external) and investigate their business value through data analysis and visualization + +•Create and adapt data analysis models and tools + +•Mount, execute and automate ETL processes for extracting data (with python and SQL) to serve analytical needs + +•Develop & improve data quality controls and standardize processes and analyses + +•Ensure high quality of delivery + +•Collect and visualize KPIs on the performance of our in-house models + +•Basic knowledge of data python packages + + + + +If you believe in this match as much as we do, send your CV to leonor.carvalho@closer.pt and reach the closest side of life. + + + + +Closer is a company that values diversity and inclusion. We are committed to fostering an environment where everyone is treated with dignity and respect, regardless of race, gender, beliefs, sexual orientation, physical or mental disability, or other personal characteristics. + +Show more ","
+ + + + + +
+
+

Mutual Respect, Empathy, Innovation and Professional Pride. Do you see yourself within these values?

Founded in 2006 under the mission ""To Challenge Complexity"", Closer Consulting is a Data Science company specialized in Business Intelligence, Advanced Analytics and Artificial Intelligence.

By developing projects in the most diverse industries – Banking, Telecommunications, Health, Retail, Energy, Insurance or Aviation - we analyze data, transforming it into knowledge for our clients, allowing them to adopt the best decision-making for their respective organizations and businesses.

We are now seeking a Data Analyst willing to accept new challenges in our Closer team.

*For this position you need to have residency in Portugal.


ARE YOU THE ONE??


As a Data Analyst you will use data analytical and visualization techniques to solve business issues in different geographies:

•Create and update PowerBI Dashboards

•Collect data (internal & external) and investigate their business value through data analysis and visualization

•Create and adapt data analysis models and tools

•Mount, execute and automate ETL processes for extracting data (with python and SQL) to serve analytical needs

•Develop & improve data quality controls and standardize processes and analyses

•Ensure high quality of delivery

•Collect and visualize KPIs on the performance of our in-house models

•Basic knowledge of data python packages


If you believe in this match as much as we do, send your CV to leonor.carvalho@closer.pt and reach the closest side of life.


Closer is a company that values diversity and inclusion. We are committed to fostering an environment where everyone is treated with dignity and respect, regardless of race, gender, beliefs, sexual orientation, physical or mental disability, or other personal characteristics.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-11-27,[] +4083367207,https://es.linkedin.com/jobs/view/ai-data-analytics-intern-at-engie-espa%C3%B1a-4083367207?position=60&pageNum=0&refId=s3ME%2B3nV0yYl%2Fs%2FYfYdbKQ%3D%3D&trackingId=Nwaruzxg2pEMysFQJQroHw%3D%3D,AI & Data Analytics Intern,ENGIE España,"Madrid, Community of Madrid, Spain","Our Group is a global reference in low-carbon energy and services. Together with our 96.000 employees, our customers, partners and stakeholders, we are committed to accelerating the transition to a carbon neutral economy through reduced energy consumption and more environmentally friendly solutions. + + + + +Are you passionate about data and looking to jumpstart your career in analytics and artificial intelligence? + +Join our dynamic Madrid team as an AI & Data Analytics Intern and gain hands-on experience leveraging data to drive meaningful insights and decision-making. + + + + +Mission + +This role will provide you with a comprehensive understanding of the full data lifecycle, from ETL processes to visualization, while allowing you to actively contribute to critical projects and improve existing systems. + + + + + + + +As AI & Data Analytics intern, your main responsibilities will involve: + +Documentation: Assist in documenting processes to ensure clarity and consistency across projects. +Database Normalization: Work on optimizing and structuring databases following the ENGIE Spain standards +Process Standardization: Help establish and maintain standardized workflows and procedures. +SQL Query and View Unification: Collaborate on consolidating and improving SQL queries and views for better performance and maintainability. +Full Data Stack Support: Support the entire data lifecycle, from ETL processes to dashboard development in Power BI. +Idea Generation: Actively propose and develop innovative ideas to improve processes and solutions. All suggestions will be welcomed and evaluated! + + + + +We imagine that you: + +Are Data driven and interested in renewables +Enjoy handling data and tools to extract actionable insights. +Are proficiency in Python, SQL, and Power BI. +Are about to finish a top numerical degree/master (in Computer Science, Information Technology, Physics, Maths, Business Analytics, Engineering Degree, Economics or Statistics) +Are fluent in English → C1. + + + + +Competencies required for the job position + +Excellent critical thinking skills +Strong analytical & problem-solving skills +Strong time-management skills +Detail oriented and highly organized +Communication skills +Teamwork culture +Skilled in negotiation +Customer Success Oriented + + + + +Committed to inclusion + +At ENGIE we value and encourage diversity and inclusion. We are committed to accelerating the transition to a carbon-neutral economy achieved by integrating exceptional and diverse individuals that seek, support, and strengthen each other’s growth. + + + + +What We Offer + +Paid internships lasting 6 months to 1 year. +Full-time schedule: Monday to Thursday (full day) and Friday (reduced hours). // Summer reduced schedule from Monday to Friday during July and August. +Hybrid work model (50% remote) after the first three months. +Professional growth and future career opportunities. +A chance to gain experience in a growing and continuously evolving organization. +A dynamic, professional, and positive work environment. +Integration into a highly qualified team. +State-of-the-art office facilities. +Discounted membership for the on-site gym. +“Chill Out” zones. + + + + +ENGIE is the answer if... + +- You are looking for a solid professional project with professional projection. + +- You value being part of the first independent energy group in the world. + +- You want to grow and develop within a dynamic and challenging company. + +- If you consider that your work, together with the efforts of the people who are part of the company, can and should have a positive impact on the environment. + + + + +If you want to be part of an international group, able to offer a wide variety of jobs in a dynamic and promising sector, we are waiting for you! + +Show more ","
+ + + + + +
+
+

Our Group is a global reference in low-carbon energy and services. Together with our 96.000 employees, our customers, partners and stakeholders, we are committed to accelerating the transition to a carbon neutral economy through reduced energy consumption and more environmentally friendly solutions.


Are you passionate about data and looking to jumpstart your career in analytics and artificial intelligence?

  • Join our dynamic Madrid team as an AI & Data Analytics Intern and gain hands-on experience leveraging data to drive meaningful insights and decision-making.


Mission

  • This role will provide you with a comprehensive understanding of the full data lifecycle, from ETL processes to visualization, while allowing you to actively contribute to critical projects and improve existing systems.



As AI & Data Analytics intern, your main responsibilities will involve:

  • Documentation: Assist in documenting processes to ensure clarity and consistency across projects.
  • Database Normalization: Work on optimizing and structuring databases following the ENGIE Spain standards
  • Process Standardization: Help establish and maintain standardized workflows and procedures.
  • SQL Query and View Unification: Collaborate on consolidating and improving SQL queries and views for better performance and maintainability.
  • Full Data Stack Support: Support the entire data lifecycle, from ETL processes to dashboard development in Power BI.
  • Idea Generation: Actively propose and develop innovative ideas to improve processes and solutions. All suggestions will be welcomed and evaluated!


We imagine that you:

  • Are Data driven and interested in renewables
  • Enjoy handling data and tools to extract actionable insights.
  • Are proficiency in Python, SQL, and Power BI.
  • Are about to finish a top numerical degree/master (in Computer Science, Information Technology, Physics, Maths, Business Analytics, Engineering Degree, Economics or Statistics)
  • Are fluent in English → C1.


Competencies required for the job position

  1. Excellent critical thinking skills
  2. Strong analytical & problem-solving skills
  3. Strong time-management skills
  4. Detail oriented and highly organized
  5. Communication skills
  6. Teamwork culture
  7. Skilled in negotiation
  8. Customer Success Oriented


Committed to inclusion

At ENGIE we value and encourage diversity and inclusion. We are committed to accelerating the transition to a carbon-neutral economy achieved by integrating exceptional and diverse individuals that seek, support, and strengthen each other’s growth.


What We Offer

  • Paid internships lasting 6 months to 1 year.
  • Full-time schedule: Monday to Thursday (full day) and Friday (reduced hours). // Summer reduced schedule from Monday to Friday during July and August.
  • Hybrid work model (50% remote) after the first three months.
  • Professional growth and future career opportunities.
  • A chance to gain experience in a growing and continuously evolving organization.
  • A dynamic, professional, and positive work environment.
  • Integration into a highly qualified team.
  • State-of-the-art office facilities.
  • Discounted membership for the on-site gym.
  • “Chill Out” zones.


ENGIE is the answer if...

- You are looking for a solid professional project with professional projection.

- You value being part of the first independent energy group in the world.

- You want to grow and develop within a dynamic and challenging company.

- If you consider that your work, together with the efforts of the people who are part of the company, can and should have a positive impact on the environment.


If you want to be part of an international group, able to offer a wide variety of jobs in a dynamic and promising sector, we are waiting for you!

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-11-26,[] +4091160855,https://ie.linkedin.com/jobs/view/data-analyst-at-hays-4091160855?position=1&pageNum=2&refId=tJ1zhvvBGwK0XYiTAkKObw%3D%3D&trackingId=ndz68IvqWJRvfMXFyVodPg%3D%3D,Data Analyst,Hays,"Dublin, County Dublin, Ireland","Data Analyst - 6 Month Contract - Dublin ( Has potential movement to perm after) + +(Stamp 4/ Eu citizen/ UK citizen/ Stamp 1g spouse visa) + +3 days onsite 2 days work from home + + + + + + + +Your new company + + + + +This company is a reputable high profile third level institution within the public sector based in Dublin. + + + + +Your new role + + + + +Plan, schedule and conduct a review of the end-user population of the Finance Systems +Develop and maintain supporting process documentation +Capture, analyse and document user access, authorities, and permissions within the Finance Systems +Develop relationships with key stakeholders to assess and establish business requirements for all users within their areas of responsibility +Provide on-going guidance & feedback to key stakeholders +Manage stakeholders’ issues, interactions, and expectations +Generate detailed reports and dashboards to provide insights and support decision-making processes +Work with personnel within the Finance Office to implement new role structures +Identify opportunities to streamline data management processes and contribute to efficiency improvements. + + + + + + + + + + +What you'll need to succeed + + + + +Need immediate joiner +5+ years experience as a Data Analyst +Strong PowerQuery experience and Excel . +Experience with accountancy software. +Excellent verbal and written communication skills with the ability to convey messages in a clear and concise manner. +Strong Computer skills with a proficient working knowledge of MS Word, Excel, PowerPoint and Outlook. +Relevant experience in data management & validation. +Microsoft Excel and Power Query Proficiency: Utilize advanced Excel functions/Power query features to analyse, manipulate, and present data effectively. +Proficiency in Tableau + + + + + + + +What you'll get in return + + + + +Pay rate between €56K- 65K per annum - pro rata (Dependent on experience). +Opportunity to work with a reputable organization within the public sector +Hybrid work model. ( 3 days onsite, 2 days from home) +Work 35 hours per week +20 days holidays per annum - Pro rata basis + + + + +Eligibility + + + + +Currently living in Ireland. +Irish experience is a must +Flexible to work in a hybrid setting in Dublin. +Currently holding an EEA passport or valid Stamp 4 visa. (Visa must be for duration of contract). +Immediate starter (if possible). + + + + +If you find the role is relevant to your current skills, please feel free to apply or reach out !!! + +Show more ","
+ + + + + +
+
+

Data Analyst - 6 Month Contract - Dublin ( Has potential movement to perm after)

(Stamp 4/ Eu citizen/ UK citizen/ Stamp 1g spouse visa)

3 days onsite 2 days work from home



Your new company


This company is a reputable high profile third level institution within the public sector based in Dublin.


Your new role


  • Plan, schedule and conduct a review of the end-user population of the Finance Systems
  • Develop and maintain supporting process documentation
  • Capture, analyse and document user access, authorities, and permissions within the Finance Systems
  • Develop relationships with key stakeholders to assess and establish business requirements for all users within their areas of responsibility
  • Provide on-going guidance & feedback to key stakeholders
  • Manage stakeholders’ issues, interactions, and expectations
  • Generate detailed reports and dashboards to provide insights and support decision-making processes
  • Work with personnel within the Finance Office to implement new role structures
  • Identify opportunities to streamline data management processes and contribute to efficiency improvements.




What you'll need to succeed


  • Need immediate joiner
  • 5+ years experience as a Data Analyst
  • Strong PowerQuery experience and Excel .
  • Experience with accountancy software.
  • Excellent verbal and written communication skills with the ability to convey messages in a clear and concise manner.
  • Strong Computer skills with a proficient working knowledge of MS Word, Excel, PowerPoint and Outlook.
  • Relevant experience in data management & validation.
  • Microsoft Excel and Power Query Proficiency: Utilize advanced Excel functions/Power query features to analyse, manipulate, and present data effectively.
  • Proficiency in Tableau



What you'll get in return


  • Pay rate between €56K- 65K per annum - pro rata (Dependent on experience).
  • Opportunity to work with a reputable organization within the public sector
  • Hybrid work model. ( 3 days onsite, 2 days from home)
  • Work 35 hours per week
  • 20 days holidays per annum - Pro rata basis


Eligibility


  • Currently living in Ireland.
  • Irish experience is a must
  • Flexible to work in a hybrid setting in Dublin.
  • Currently holding an EEA passport or valid Stamp 4 visa. (Visa must be for duration of contract).
  • Immediate starter (if possible).


If you find the role is relevant to your current skills, please feel free to apply or reach out !!!

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-05,[] +4089983469,https://it.linkedin.com/jobs/view/junior-data-analyst-at-adecco-4089983469?position=2&pageNum=2&refId=tJ1zhvvBGwK0XYiTAkKObw%3D%3D&trackingId=a52CKTheD7WM65p3t6h5oQ%3D%3D,JUNIOR DATA ANALYST,Adecco,"Rome, Latium, Italy","Adecco Italia S.p.A., per multinazionale cliente operante nel settore della mobilità, ricerca: + + + + +JUNIOR DATA ANALYST + + + + +La risorsa sarà inserita all’interno della divisione Marketing e Business Development in un contesto fortemente dinamico ed orientato all’analisi dei dati. + + + + +Principali attività + + + + +Creazione e gestione di report per le diverse direzioni aziendali +Monitoraggio dei KPI aziendali +Supporto per elaborazione di bdgt e forecast +Analisi dati per fini analitici, predittivi e strategici +Gestione di comitati interni +Elaborazione di presentazioni strategiche + + + + +Requisiti + + + + +Laurea in Matematica/Statistica, discipline economiche +Gradita esperienza pregressa in contesti aziendali automotive, su progetti di Datawarehouse e di Business Intelligence con avanzato uso di strumenti di analisi dati e reporting +Gradita esperienza nella realizzazione di soluzioni di Business Intelligence e Analytics (Report, Dashboard, Data Modeling) +Conoscenza di DB relazionali con utilizzo di join complesse tra tabelle, costruzioni di query attraverso l’utilizzo del linguaggio SQL +Attività di analisi con applicativi quali SAS (es guide o SAS Base) +Gradita conoscenza di QLIKsense come strumento di reporting +Ottima conoscenza di Excel e del pacchetto Office (Power point, Access, Word) +Ottima conoscenza della lingua inglese, sia scritta che parlata +Buone capacità relazionali e comunicative con una spiccata capacità di lavorare in team + + + + +Sede: Roma. + +Contratto: iniziale contratto di somministrazione a tempo determinato semestrale. Ral 32K. Buoni pasto. + + + + + + + +I candidati ambosessi (L.903/77) sono invitati a leggere l’informativa sulla privacy. + +Facsimile di domanda disponibile al seguente link Facsimile domanda candidatura. + +ATTENZIONE: Abbiamo rilevato la presenza in rete di molti annunci falsi; prendi visione dei nostri consigli per riconoscere i tentativi di truffa al seguente link. + +Adecco Italia S.p.A. (Aut. Min. Prot. N.1100-SG del 26.11.2004). + +Show more ","
+ + + + + +
+
+

Adecco Italia S.p.A., per multinazionale cliente operante nel settore della mobilità, ricerca:


JUNIOR DATA ANALYST


La risorsa sarà inserita all’interno della divisione Marketing e Business Development in un contesto fortemente dinamico ed orientato all’analisi dei dati.


Principali attività


  • Creazione e gestione di report per le diverse direzioni aziendali
  • Monitoraggio dei KPI aziendali
  • Supporto per elaborazione di bdgt e forecast
  • Analisi dati per fini analitici, predittivi e strategici
  • Gestione di comitati interni
  • Elaborazione di presentazioni strategiche


Requisiti


  • Laurea in Matematica/Statistica, discipline economiche
  • Gradita esperienza pregressa in contesti aziendali automotive, su progetti di Datawarehouse e di Business Intelligence con avanzato uso di strumenti di analisi dati e reporting
  • Gradita esperienza nella realizzazione di soluzioni di Business Intelligence e Analytics (Report, Dashboard, Data Modeling)
  • Conoscenza di DB relazionali con utilizzo di join complesse tra tabelle, costruzioni di query attraverso l’utilizzo del linguaggio SQL
  • Attività di analisi con applicativi quali SAS (es guide o SAS Base)
  • Gradita conoscenza di QLIKsense come strumento di reporting
  • Ottima conoscenza di Excel e del pacchetto Office (Power point, Access, Word)
  • Ottima conoscenza della lingua inglese, sia scritta che parlata
  • Buone capacità relazionali e comunicative con una spiccata capacità di lavorare in team


Sede: Roma.

Contratto: iniziale contratto di somministrazione a tempo determinato semestrale. Ral 32K. Buoni pasto.



I candidati ambosessi (L.903/77) sono invitati a leggere l’informativa sulla privacy.

Facsimile di domanda disponibile al seguente link Facsimile domanda candidatura.

ATTENZIONE: Abbiamo rilevato la presenza in rete di molti annunci falsi; prendi visione dei nostri consigli per riconoscere i tentativi di truffa al seguente link.

Adecco Italia S.p.A. (Aut. Min. Prot. N.1100-SG del 26.11.2004).

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-04,[] +4090318496,https://se.linkedin.com/jobs/view/junior-data-analyst-at-ikea-4090318496?position=4&pageNum=2&refId=tJ1zhvvBGwK0XYiTAkKObw%3D%3D&trackingId=QqowofJEO4RqRNetsH3LGg%3D%3D,Junior Data Analyst,IKEA,"Malmo, Skåne County, Sweden","WHO YOU ARE We are looking for a Junior Data Analyst to join us in developing ways for IKEA to stay relevant for our customers. We are using data and analytics within cross-functional teams, to create value all along our customer’s journey. + +Our diverse Data & Analytics team for Retail Insights & Analytics, Omni Meeting Points is growing and we would love to talk with you, if you recognize yourself in some of the following: + +• passionate about understanding a business problem and applying Data & Analytics to try and solve them +• have a strong quantitative background in math, computer science, engineering, economics or equivalent +• love being creative through code (SQL and Python or similar programming language) +• can be hypothesis-driven when you approach a problem and data +• love (data) storytelling and use visualizations of data to explain facts +• take ownership and independently drive towards desired outcomes +• know about developing easy-to-use BI dashboards in different tools (PowerBI, Looker Studio,..) +• have experience working in retail or e-commerce +• are a team player who takes ownership, builds cross-functional relationships with peers and loves sharing knowledge with others +• proactively manage relevant stakeholders +• are curious, self-directed and want to keep learning! + +This is our wish list! If you don’t recognize yourself in all these points, you might still be an excellent candidate for the role. We like to think long-term and invest in people’s development together with us. + +The IKEA culture and values are very much a part of our business and day-to-day work life. For you to thrive and grow with IKEA it’s important for us that you share our values! You can read more about our values and life at IKEA on our website www.ikea.com. A DAY IN YOUR LIFE WITH US You’ll be a vital part in the transformation of IKEA into a more data-driven company by ensuring that data and insights become a natural part of the organizational workflow and impact present and future decisions on business and product strategy. This means: + +• Generate actionable insights to help your stakeholders make better-informed decisions +• Having a hypothesis-driven approach to data collection and exploration +• Create presentations that tell a clear story and inspire stakeholders +• Develop metrics that can be used to monitor impact + +Perhaps you have your questions to ask? Our ultimate goal is to create a better everyday life for the many people by creating a unique partnership with each customer. To do so, we want to understand our customers, to give customers the most beneficial offerings for them exactly when they need it, and to support them throughout their journey with IKEA in the best way possible. TOGETHER AS A TEAM You will work in Retail Insights and Analytics together with other Data Analysts, - Scientists, - Engineers, Insights Specialists & Leaders. Together you will be joining an overarching Insights and Analytics team that delivers actionable insights to enable data-driven decision making and strategic opportunity finding to fuel growth, efficiency and competitive advantage across all retail areas. + +It will be a mix of data discovery, insights creation, data visualization and writing code – as well as talking with product owners and business stakeholders. + +Our team specializes in improving retail performance across all Omni Meeting Points: Remote (phone, chat, social media), Physical, and Digital/Online. With a proven track record of delivering growth-driving insights, we integrate cross-functional knowledge to ensure a comprehensive understanding of End-to-end business performance. + +IKEA has long been a global leader in home furnishing. We are proud of our vision to improve the everyday life of the many people. But our industry is quickly changing, and we need to adapt to stay competitive. + +As part of IKEA’s journey to strengthen our digital capabilities, we are building a Data & Analytics function. This team is working across the company, ranging from customer modeling, pricing, online shopping, and visual intelligence to logistics optimization. + +We see so many opportunities for what we can accomplish and have the ambition to be a world-class team. At the same time, we believe that our work is not just about building models, but also about learning and having fun together. + +We can offer you: + +• Work on some very interesting problems as described above, and you are encouraged to spot new opportunities or to collaborate with Data Analytics colleagues in other specialist teams. + +• Opportunities to have a global impact with your work. +• Flexible and modern tools: we deploy on Google Cloud Platform and we use a lot of open-source tools across the board. +• Hardware and OS of your choice. +• A team of great colleagues to learn with and from (with world-class experience across all aspects of Data Analytics). +• Continuous learning (we aim to spend 20% of our working time on learning). +• Flexible and friendly working environment. QUESTIONS AND SUPPORT? LET'S CONNECT! Does this sound like your next challenge? IKEA offers an exciting and empowering work environment in a global workplace. And as the world’s leader at life at home, you have exceptional opportunities to grow and develop together with us. + +If you have questions regarding the recruitment system, please reach out to Annette Björkquist-Åhstedt at annette.bjorkquist-ahstedt@ingka.ikea.com. Please apply with your application in English. Note that we can’t process any applications through email. + +We look forward to learning more about you! + +Thank you! +Show more ","
+ + + + + +
+
+ WHO YOU ARE We are looking for a Junior Data Analyst to join us in developing ways for IKEA to stay relevant for our customers. We are using data and analytics within cross-functional teams, to create value all along our customer’s journey.

Our diverse Data & Analytics team for Retail Insights & Analytics, Omni Meeting Points is growing and we would love to talk with you, if you recognize yourself in some of the following:

• passionate about understanding a business problem and applying Data & Analytics to try and solve them
• have a strong quantitative background in math, computer science, engineering, economics or equivalent
• love being creative through code (SQL and Python or similar programming language)
• can be hypothesis-driven when you approach a problem and data
• love (data) storytelling and use visualizations of data to explain facts
• take ownership and independently drive towards desired outcomes
• know about developing easy-to-use BI dashboards in different tools (PowerBI, Looker Studio,..)
• have experience working in retail or e-commerce
• are a team player who takes ownership, builds cross-functional relationships with peers and loves sharing knowledge with others
• proactively manage relevant stakeholders
• are curious, self-directed and want to keep learning!

This is our wish list! If you don’t recognize yourself in all these points, you might still be an excellent candidate for the role. We like to think long-term and invest in people’s development together with us.

The IKEA culture and values are very much a part of our business and day-to-day work life. For you to thrive and grow with IKEA it’s important for us that you share our values! You can read more about our values and life at IKEA on our website www.ikea.com. A DAY IN YOUR LIFE WITH US You’ll be a vital part in the transformation of IKEA into a more data-driven company by ensuring that data and insights become a natural part of the organizational workflow and impact present and future decisions on business and product strategy. This means:

• Generate actionable insights to help your stakeholders make better-informed decisions
• Having a hypothesis-driven approach to data collection and exploration
• Create presentations that tell a clear story and inspire stakeholders
• Develop metrics that can be used to monitor impact

Perhaps you have your questions to ask? Our ultimate goal is to create a better everyday life for the many people by creating a unique partnership with each customer. To do so, we want to understand our customers, to give customers the most beneficial offerings for them exactly when they need it, and to support them throughout their journey with IKEA in the best way possible. TOGETHER AS A TEAM You will work in Retail Insights and Analytics together with other Data Analysts, - Scientists, - Engineers, Insights Specialists & Leaders. Together you will be joining an overarching Insights and Analytics team that delivers actionable insights to enable data-driven decision making and strategic opportunity finding to fuel growth, efficiency and competitive advantage across all retail areas.

It will be a mix of data discovery, insights creation, data visualization and writing code – as well as talking with product owners and business stakeholders.

Our team specializes in improving retail performance across all Omni Meeting Points: Remote (phone, chat, social media), Physical, and Digital/Online. With a proven track record of delivering growth-driving insights, we integrate cross-functional knowledge to ensure a comprehensive understanding of End-to-end business performance.

IKEA has long been a global leader in home furnishing. We are proud of our vision to improve the everyday life of the many people. But our industry is quickly changing, and we need to adapt to stay competitive.

As part of IKEA’s journey to strengthen our digital capabilities, we are building a Data & Analytics function. This team is working across the company, ranging from customer modeling, pricing, online shopping, and visual intelligence to logistics optimization.

We see so many opportunities for what we can accomplish and have the ambition to be a world-class team. At the same time, we believe that our work is not just about building models, but also about learning and having fun together.

We can offer you:

• Work on some very interesting problems as described above, and you are encouraged to spot new opportunities or to collaborate with Data Analytics colleagues in other specialist teams.

• Opportunities to have a global impact with your work.
• Flexible and modern tools: we deploy on Google Cloud Platform and we use a lot of open-source tools across the board.
• Hardware and OS of your choice.
• A team of great colleagues to learn with and from (with world-class experience across all aspects of Data Analytics).
• Continuous learning (we aim to spend 20% of our working time on learning).
• Flexible and friendly working environment. QUESTIONS AND SUPPORT? LET'S CONNECT! Does this sound like your next challenge? IKEA offers an exciting and empowering work environment in a global workplace. And as the world’s leader at life at home, you have exceptional opportunities to grow and develop together with us.

If you have questions regarding the recruitment system, please reach out to Annette Björkquist-Åhstedt at annette.bjorkquist-ahstedt@ingka.ikea.com. Please apply with your application in English. Note that we can’t process any applications through email.

We look forward to learning more about you!

Thank you! +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-04,[] +4099929558,https://hu.linkedin.com/jobs/view/data-analyst-at-docler-holding-budapest-4099929558?position=6&pageNum=2&refId=tJ1zhvvBGwK0XYiTAkKObw%3D%3D&trackingId=CmASL96ECtOb8DfYkO%2BzYQ%3D%3D,Data Analyst,Docler Holding Budapest,"Budapest, Budapest, Hungary","Company Description + +Welcome to Byborg! As a leader in IT and streaming solutions, we deliver high-quality services for premium online experiences. + +Headquartered in Luxembourg and operating globally, our company is proud of its diversity, with over 40 different nationalities working side by side. Since its launch, our flagship product has led the market, continually pushing the boundaries of digital innovation and today our platforms serve millions of users daily. + +Working with a wide range of cutting-edge technologies and constantly pushing the envelope in AI experimentation, we ensure robust and reliable performance through our powerful network of data centers. Furthermore, our advanced design and testing methods, including Behavior-Driven Development, set us apart. + +We are proud of our dynamic portfolio, featuring over 16 leading and fast-growing brands. These include our streaming platforms (LiveJasmin.com, Cherry.TV, IsLive.com, Oranum.com), our marketing and advertising services (AdSupply, AWEmpire, TwinRed), and our entertainment and lifestyle brands (LoyalFans.com, The Million Roses, Kinkly.com). + +Are you looking for new challenges in an international, collaborative environment? The Byborg squad is seeking passionate individuals ready to make an impact. Join us in our inclusive workplace where you will be appreciated, and you can grow and achieve your potential. Help us shape the future! + +Job Description + + +Design, analyze, and interpret the results of experiments +Drive the collection of new data and the refinement of existing data sources +Fine-tune recommender system and search engine +Implement and test new machine learning algorithms + + +Qualifications + + +Bachelor’s degree or higher in Data Science, Statistics, Mathematics, Computer Science or another quantitative field +Experience with recommender systems and/or search engines is considered an asset +Familiarity with machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their advantages/drawbacks +Experience using Python and Python data analysis libraries (pandas, numpy, scikit-learn, tensorflow) and SQL +Strong data & logical analysis skills +Knowledge of advanced statistical techniques and concepts (AB testing, statistical hypothesis testing, regression, properties of distributions, etc.) and their real-world applications +Experience with data visualization tools like Matplotlib, Seaborn, Kibana +Experience with C# or/and Java is considered a plus + + +Additional Information + +What We Offer + + +An exceptional compensation package along with relocation support to help you move to the Grand Duchy +Your health is our wealth: private health insurance and free gym membership +On top of the minimum 26 vacation days, we also provide additional days the longer you work for us +Forgot your morning grub at home? We provide daily breakfast for our employees, energizing them for the day ahead and helping them connect with each other +The opportunity to see your work directly contribute to the success of the company +When you grow, we grow: You have the chance to attend events, meetups, and other perks for your professional growth +You’re joining the #ByborgSquad and you are going to look the part! We give out company-branded merchandise to every new joiner +And of course, a fun, professional, and collaborative work culture + + +Byborg Enterprises is an equal employment opportunity employer. We consider individuals for employment based on their skills, abilities and experience. We thrive to attract and hire a strong, talented and diverse workforce, prohibiting discrimination based on race, color, religious or political beliefs, age, nationality, physical, mental or developmental disability, gender, sexual orientation. + +DISCLAIMER: This job description is a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. Contents are subject to change at management's discretion. + +NOTE: Byborg Enterprises SA does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency without prior approval from our Legal and Recruiting Department to be unsolicited, and such submissions will not be recognized for purposes of “ownership” of the candidate. + +We are in it for the long haul so your future is safe with us. +Show more ","
+ + + + + +
+
+ Company Description

Welcome to Byborg! As a leader in IT and streaming solutions, we deliver high-quality services for premium online experiences.

Headquartered in Luxembourg and operating globally, our company is proud of its diversity, with over 40 different nationalities working side by side. Since its launch, our flagship product has led the market, continually pushing the boundaries of digital innovation and today our platforms serve millions of users daily.

Working with a wide range of cutting-edge technologies and constantly pushing the envelope in AI experimentation, we ensure robust and reliable performance through our powerful network of data centers. Furthermore, our advanced design and testing methods, including Behavior-Driven Development, set us apart.

We are proud of our dynamic portfolio, featuring over 16 leading and fast-growing brands. These include our streaming platforms (LiveJasmin.com, Cherry.TV, IsLive.com, Oranum.com), our marketing and advertising services (AdSupply, AWEmpire, TwinRed), and our entertainment and lifestyle brands (LoyalFans.com, The Million Roses, Kinkly.com).

Are you looking for new challenges in an international, collaborative environment? The Byborg squad is seeking passionate individuals ready to make an impact. Join us in our inclusive workplace where you will be appreciated, and you can grow and achieve your potential. Help us shape the future!

Job Description

  • Design, analyze, and interpret the results of experiments
  • Drive the collection of new data and the refinement of existing data sources
  • Fine-tune recommender system and search engine
  • Implement and test new machine learning algorithms

Qualifications

  • Bachelor’s degree or higher in Data Science, Statistics, Mathematics, Computer Science or another quantitative field
  • Experience with recommender systems and/or search engines is considered an asset
  • Familiarity with machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their advantages/drawbacks
  • Experience using Python and Python data analysis libraries (pandas, numpy, scikit-learn, tensorflow) and SQL
  • Strong data & logical analysis skills
  • Knowledge of advanced statistical techniques and concepts (AB testing, statistical hypothesis testing, regression, properties of distributions, etc.) and their real-world applications
  • Experience with data visualization tools like Matplotlib, Seaborn, Kibana
  • Experience with C# or/and Java is considered a plus

Additional Information

What We Offer

  • An exceptional compensation package along with relocation support to help you move to the Grand Duchy
  • Your health is our wealth: private health insurance and free gym membership
  • On top of the minimum 26 vacation days, we also provide additional days the longer you work for us
  • Forgot your morning grub at home? We provide daily breakfast for our employees, energizing them for the day ahead and helping them connect with each other
  • The opportunity to see your work directly contribute to the success of the company
  • When you grow, we grow: You have the chance to attend events, meetups, and other perks for your professional growth
  • You’re joining the #ByborgSquad and you are going to look the part! We give out company-branded merchandise to every new joiner
  • And of course, a fun, professional, and collaborative work culture

Byborg Enterprises is an equal employment opportunity employer. We consider individuals for employment based on their skills, abilities and experience. We thrive to attract and hire a strong, talented and diverse workforce, prohibiting discrimination based on race, color, religious or political beliefs, age, nationality, physical, mental or developmental disability, gender, sexual orientation.

DISCLAIMER: This job description is a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. Contents are subject to change at management's discretion.

NOTE: Byborg Enterprises SA does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency without prior approval from our Legal and Recruiting Department to be unsolicited, and such submissions will not be recognized for purposes of “ownership” of the candidate.

We are in it for the long haul so your future is safe with us. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-13,[] +4089990947,https://ro.linkedin.com/jobs/view/marketing-analyst-data-analytics-and-bi-at-samsung-electronics-4089990947?position=7&pageNum=2&refId=tJ1zhvvBGwK0XYiTAkKObw%3D%3D&trackingId=1uTzFMJmi4f2juI%2FpoPG3w%3D%3D,Marketing Analyst (Data Analytics and BI),Samsung Electronics,"Bucharest, Bucharest, Romania","Marketing Analyst (Data Analytics and BI) + +At Samsung we approach everything we do with the spirit of a ‘joyful pioneer’- daring to defy barriers and striving to excel limits. At the heart of our DNA is the pursuit of excellence and bringing innovation to everyone, faster than anyone. We realize it’s our people who really make this possible and we are continuously looking for dynamic people to join us and share our vision. With our endless ability to predict the next big wave (and create a few of our own), joining Samsung Electronics will put you in touch with the future and keep your career at the cutting edge of tomorrow’s technology. + + + + +Samsung Electronics Romania is looking for a Marketing Analyst for the Digital, Strategy & Planning team. + + + + +The Marketing Analyst will be supporting the enhancement of the data collection, tracking and analytics capabilities of the Samsung marketing. The Marketing Analyst will be responsible for developing and implementing tracking and analytics plans, supporting with dashboards, reports and insights. Main internal stakeholders: wider marketing team (Category & Campaign, Digital, PR & Communication) and divisions. Markets to be covered: Romania and Bulgaria. + +You will explore data to find trends and identify new opportunities for the organization. Also, you will help improve and automate current reporting activities. + + + + +Key Responsibilities + +• You are organized, detailed oriented, flexible and possess ability to establish priorities with minimal guidance in a fast paced environment – be proactive, analytical problem solver and strategist, who is able to draw conclusions- not just report the data. + +• Translate business requirements into meaningful set of reports, ad hoc analysis and new reporting solutions, and particularly related to marketing and sales activities + +• Explore data to identify trends and anomalies, develop new analytical capabilities/solutions + +• Transform and cleanse outputs from data warehouse into relevant analysis for business/sales teams + +• Summaries analyses into PowerPoint presentations or formatted Excel reports + +• Help explain analysis results to business team + +• Automate and optimize current reports, will be owner for some specific audience dashboards to support the management. + +• Collaborate to refine methodology and calculations + + + + +Skills and Qualifications + + + + +To be successful, you will possess the following skills and attributes: + +• Proven experience using excel full time + +• Extensive experience working in an agency or company leading media analytics + +• Exposure to automation + +• Experience working with large relational databases + +• Demonstrated expertise in connecting various sources of data (across digital media channels or platforms) to create a holistic view of data + +• Experience with statistical analysis/tools + +• Familiarity with media, Digital / Mobile /TV KPI + +• Strong written and verbal communication skills + +• Experience with ad tech and digital media ops + +• A high degree of analytical expertise is crucial, along with the ability to communicate test results in basic terms for consumption of non-technical colleagues. + +• Willing to work closely with non-technical teams and learn new concepts + +• Degree in computer science/engineering or quantitative discipline (Economics, Statistics, Engineering, Physics, Mathematics). Masters Preferred. + +• Familiarity with Digital Marketing + +• Proficient with Google Analytics + +• Working knowledge of automation and CRM platforms + +• Experience working with Domo, Tableau, and PowerBI + +• Experience with AWS tools such as EC2 and S3. + +• Jira, Confluence, GitHub and other agile development tool experience. + +• Experience working with a DMP + +• Experience with data visualization + + + + +What does success look like? + + + + +• A love for data and statistics, for example exploring data for fun, find patterns, create norms for marketing insights report results. You are curious and take initiatives on finding new insights, new angles are looking at the data and deep dive into the meanings of campaign insights results. Support the development of reporting capacities for all types of marketing activities. + +• You have a passion to test and learn in a fast paced environment, your curiosity is outstanding. + +• Help build a data-informed culture – provide decisions makers with the information they need when they need it and in a way they can trust and act on. + +• Experience to develop strategic relationships with all areas of the business (sales, marketing, finance, business intelligence etc). You can root cause issues quickly and uncover core issues, then assist, collaborate with, and teach the teams how decisions affect efficiency, scalability, new mechanisms as they are needed. + + + + +Do you believe you have what it takes to become our new Marketing Analyst ? If so, we offer you a very stimulating job in an international and expansive company where your skills, ambitions and determination will decide your future. You will have the opportunity to work in an organization where the time from an idea to action is short. + +Show more ","
+ + + + + +
+
+

Marketing Analyst (Data Analytics and BI)

At Samsung we approach everything we do with the spirit of a ‘joyful pioneer’- daring to defy barriers and striving to excel limits. At the heart of our DNA is the pursuit of excellence and bringing innovation to everyone, faster than anyone. We realize it’s our people who really make this possible and we are continuously looking for dynamic people to join us and share our vision. With our endless ability to predict the next big wave (and create a few of our own), joining Samsung Electronics will put you in touch with the future and keep your career at the cutting edge of tomorrow’s technology.


Samsung Electronics Romania is looking for a Marketing Analyst for the Digital, Strategy & Planning team.


The Marketing Analyst will be supporting the enhancement of the data collection, tracking and analytics capabilities of the Samsung marketing. The Marketing Analyst will be responsible for developing and implementing tracking and analytics plans, supporting with dashboards, reports and insights. Main internal stakeholders: wider marketing team (Category & Campaign, Digital, PR & Communication) and divisions. Markets to be covered: Romania and Bulgaria.

You will explore data to find trends and identify new opportunities for the organization. Also, you will help improve and automate current reporting activities.


Key Responsibilities

• You are organized, detailed oriented, flexible and possess ability to establish priorities with minimal guidance in a fast paced environment – be proactive, analytical problem solver and strategist, who is able to draw conclusions- not just report the data.

• Translate business requirements into meaningful set of reports, ad hoc analysis and new reporting solutions, and particularly related to marketing and sales activities

• Explore data to identify trends and anomalies, develop new analytical capabilities/solutions

• Transform and cleanse outputs from data warehouse into relevant analysis for business/sales teams

• Summaries analyses into PowerPoint presentations or formatted Excel reports

• Help explain analysis results to business team

• Automate and optimize current reports, will be owner for some specific audience dashboards to support the management.

• Collaborate to refine methodology and calculations


Skills and Qualifications


To be successful, you will possess the following skills and attributes:

• Proven experience using excel full time

• Extensive experience working in an agency or company leading media analytics

• Exposure to automation

• Experience working with large relational databases

• Demonstrated expertise in connecting various sources of data (across digital media channels or platforms) to create a holistic view of data

• Experience with statistical analysis/tools

• Familiarity with media, Digital / Mobile /TV KPI

• Strong written and verbal communication skills

• Experience with ad tech and digital media ops

• A high degree of analytical expertise is crucial, along with the ability to communicate test results in basic terms for consumption of non-technical colleagues.

• Willing to work closely with non-technical teams and learn new concepts

• Degree in computer science/engineering or quantitative discipline (Economics, Statistics, Engineering, Physics, Mathematics). Masters Preferred.

• Familiarity with Digital Marketing

• Proficient with Google Analytics

• Working knowledge of automation and CRM platforms

• Experience working with Domo, Tableau, and PowerBI

• Experience with AWS tools such as EC2 and S3.

• Jira, Confluence, GitHub and other agile development tool experience.

• Experience working with a DMP

• Experience with data visualization


What does success look like?


• A love for data and statistics, for example exploring data for fun, find patterns, create norms for marketing insights report results. You are curious and take initiatives on finding new insights, new angles are looking at the data and deep dive into the meanings of campaign insights results. Support the development of reporting capacities for all types of marketing activities.

• You have a passion to test and learn in a fast paced environment, your curiosity is outstanding.

• Help build a data-informed culture – provide decisions makers with the information they need when they need it and in a way they can trust and act on.

• Experience to develop strategic relationships with all areas of the business (sales, marketing, finance, business intelligence etc). You can root cause issues quickly and uncover core issues, then assist, collaborate with, and teach the teams how decisions affect efficiency, scalability, new mechanisms as they are needed.


Do you believe you have what it takes to become our new Marketing Analyst ? If so, we offer you a very stimulating job in an international and expansive company where your skills, ambitions and determination will decide your future. You will have the opportunity to work in an organization where the time from an idea to action is short.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-04,[] +4091860529,https://de.linkedin.com/jobs/view/data-analyst-at-teksystems-4091860529?position=9&pageNum=2&refId=tJ1zhvvBGwK0XYiTAkKObw%3D%3D&trackingId=mcnW4OH43anMsomKY1NMtQ%3D%3D,Data Analyst,TEKsystems,Frankfurt Rhine-Main Metropolitan Area,"Project Title: Data Analyst - Freelance + + + + +Project Overview: Our client is seeking skilled Data Analysts to join their team on a freelance basis. Currently, they are utilizing a central platform, but they are planning to migrate data to a dedicated platform for a specific domain. This project involves significant data migration tasks and requires expertise in SQL, Databricks, and Python. + + + + +Key Responsibilities: + +Collaborate with project managers and data engineers to ensure smooth data migration. +Analyze and interpret complex data sets to provide actionable insights. +Develop and maintain data pipelines using SQL, Databricks, and Python. +Work closely with the marketing team to support data-driven decision-making. +Ensure data quality and integrity throughout the migration process. + + + + +Team Structure: + +Data Analysts (starting in January), with some focusing on the marketing domain. +Data Engineers to support the technical aspects of the migration. + + + + +Requirements: + +Proven experience as a Data Analyst, preferably in data migration projects. +Proficiency in SQL, Databricks, and Python. +Strong analytical and problem-solving skills. +Excellent communication and teamwork abilities. +Ability to work independently and manage time effectively. + +Show more ","
+ + + + + +
+
+

Project Title: Data Analyst - Freelance


Project Overview: Our client is seeking skilled Data Analysts to join their team on a freelance basis. Currently, they are utilizing a central platform, but they are planning to migrate data to a dedicated platform for a specific domain. This project involves significant data migration tasks and requires expertise in SQL, Databricks, and Python.


Key Responsibilities:

  • Collaborate with project managers and data engineers to ensure smooth data migration.
  • Analyze and interpret complex data sets to provide actionable insights.
  • Develop and maintain data pipelines using SQL, Databricks, and Python.
  • Work closely with the marketing team to support data-driven decision-making.
  • Ensure data quality and integrity throughout the migration process.


Team Structure:

  • Data Analysts (starting in January), with some focusing on the marketing domain.
  • Data Engineers to support the technical aspects of the migration.


Requirements:

  • Proven experience as a Data Analyst, preferably in data migration projects.
  • Proficiency in SQL, Databricks, and Python.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.
  • Ability to work independently and manage time effectively.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-06,[] +4087231902,https://es.linkedin.com/jobs/view/data-analyst-intern-at-lingokids-4087231902?position=10&pageNum=2&refId=tJ1zhvvBGwK0XYiTAkKObw%3D%3D&trackingId=1gyoJRsteJk%2B82SpzmiYtA%3D%3D,Data Analyst Intern,Lingokids,Greater Madrid Metropolitan Area,"Lingokids is on a mission to help families raise amazing kids through Playlearning™. Want to come with us? + +Lingokids are revolutionizing kids learning. We’ve already helped millions of children to become confident, conscious, resilient, lifelong learners but we’re nowhere near done. + + + + +We want every single child to reach their full potential—and we’re looking for remarkable people to drive us forward on this journey and help shape a brighter future for families everywhere. + + + + +On the next page of our neverending story is a hunt for the best Data Analyst Intern in the business. Up for the challenge? + + + + +Join the Playlearning™ revolution + +At Lingokids we believe in letting learning and play collide so kids’ curiosity can lead the way. We’re so passionate about this, we even created our own word. Yes, really! Playlearning™. + + + + +We create games, animated series, podcasts, songs, videos, courses and more, all handcrafted by our dedicated team of storytellers. All of our Playlearning™ content is designed to boost academic progress, teach modern life skills and bring joy to children aged 2-8. Our free app has 100 million users and our YouTube channel has 2.5 million subscribers, teleporting millions of little learners to the Lingokids universe every single day. + + + + +We’re proud of our safe, ad-free environment that prioritizes healthy, peace-of-mind play. No gremlins grabbing personal data here, nuh uh. Best of all? Our Playlearning™ content is backed by education experts from around the world. + + + + +But wait! There’s more? We’re expanding our portfolio with licensed digital products and partnerships with brands like Amazon, Ravensburger, UNICEF, Tosta Rica, H&M, Ikea, and McDonald's. + + + + +What you’ll do + +Write and optimize SQL queries to ensure efficient data extraction and reporting. +Assist in designing and maintaining data warehouse architecture for optimal performance. +Collaborate with the team to support ETL processes, ensuring smooth data flow. +Contribute to dbt projects for data modeling and pipeline management. +Create and maintain dashboards using tools like Looker to deliver insights. +Help model data for various business scenarios, ensuring alignment with business needs. +Manage existing alerts for monitoring data issues and propose new ones. +Provide support to both data engineers and data analysts, acting as a bridge between the two teams. + + + + +What you’ll bring + +Proficiency in SQL with a solid understanding of database structures and optimization. +A good grasp of data warehouse principles and ETL processes. +Familiarity with dbt (a plus, but not mandatory). +Basic experience with business intelligence tools such as Looker or Tableau. +Analytical thinking and the ability to translate business requirements into data solutions. +Eagerness to learn and collaborate within a dynamic team environment. + + + + +English is a must. We are a multicultural team, and we are providing a service in English so, we don't care about certificates, but we expect you to be able to communicate fluently. + + + + +Life at Lingokids + +🏡 Hybrid work + +We promote a remote-friendly culture, allowing flexible work arrangements between office and home. There are no mandatory office days, although we will ask you to come in for events or team building activities. + + + + +🙌 Feedback culture + +Feedback is the breakfast of champions, and we take it seriously! We have a real-time and honest feedback culture, and a formal 360º assessment every 6 months. + + + + + + + +Don't be a stranger + +Not ticking all the boxes for this particular role? We’d still love to hear from you! We’re on the hunt for someone who’s passionate about our mission, not someone who’s perfect on paper. + + + + +Diversity, Equity, and Inclusion + +Lingokids is committed to creating an equitable and inclusive environment where people from all backgrounds can thrive. We believe diversity fuels our innovation. Every day, we teach kids about the strength found in differences and this remains a value that is core to our Playlearning™ approach. + +We’ll consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. + +Show more ","
+ + + + + +
+
+

Lingokids is on a mission to help families raise amazing kids through Playlearning™. Want to come with us?

Lingokids are revolutionizing kids learning. We’ve already helped millions of children to become confident, conscious, resilient, lifelong learners but we’re nowhere near done.


We want every single child to reach their full potential—and we’re looking for remarkable people to drive us forward on this journey and help shape a brighter future for families everywhere.


On the next page of our neverending story is a hunt for the best Data Analyst Intern in the business. Up for the challenge?


Join the Playlearning™ revolution

At Lingokids we believe in letting learning and play collide so kids’ curiosity can lead the way. We’re so passionate about this, we even created our own word. Yes, really! Playlearning™.


We create games, animated series, podcasts, songs, videos, courses and more, all handcrafted by our dedicated team of storytellers. All of our Playlearning™ content is designed to boost academic progress, teach modern life skills and bring joy to children aged 2-8. Our free app has 100 million users and our YouTube channel has 2.5 million subscribers, teleporting millions of little learners to the Lingokids universe every single day.


We’re proud of our safe, ad-free environment that prioritizes healthy, peace-of-mind play. No gremlins grabbing personal data here, nuh uh. Best of all? Our Playlearning™ content is backed by education experts from around the world.


But wait! There’s more? We’re expanding our portfolio with licensed digital products and partnerships with brands like Amazon, Ravensburger, UNICEF, Tosta Rica, H&M, Ikea, and McDonald's.


What you’ll do

  • Write and optimize SQL queries to ensure efficient data extraction and reporting.
  • Assist in designing and maintaining data warehouse architecture for optimal performance.
  • Collaborate with the team to support ETL processes, ensuring smooth data flow.
  • Contribute to dbt projects for data modeling and pipeline management.
  • Create and maintain dashboards using tools like Looker to deliver insights.
  • Help model data for various business scenarios, ensuring alignment with business needs.
  • Manage existing alerts for monitoring data issues and propose new ones.
  • Provide support to both data engineers and data analysts, acting as a bridge between the two teams.


What you’ll bring

  • Proficiency in SQL with a solid understanding of database structures and optimization.
  • A good grasp of data warehouse principles and ETL processes.
  • Familiarity with dbt (a plus, but not mandatory).
  • Basic experience with business intelligence tools such as Looker or Tableau.
  • Analytical thinking and the ability to translate business requirements into data solutions.
  • Eagerness to learn and collaborate within a dynamic team environment.


English is a must. We are a multicultural team, and we are providing a service in English so, we don't care about certificates, but we expect you to be able to communicate fluently.


Life at Lingokids

🏡 Hybrid work

We promote a remote-friendly culture, allowing flexible work arrangements between office and home. There are no mandatory office days, although we will ask you to come in for events or team building activities.


🙌 Feedback culture

Feedback is the breakfast of champions, and we take it seriously! We have a real-time and honest feedback culture, and a formal 360º assessment every 6 months.



Don't be a stranger

Not ticking all the boxes for this particular role? We’d still love to hear from you! We’re on the hunt for someone who’s passionate about our mission, not someone who’s perfect on paper.


Diversity, Equity, and Inclusion

Lingokids is committed to creating an equitable and inclusive environment where people from all backgrounds can thrive. We believe diversity fuels our innovation. Every day, we teach kids about the strength found in differences and this remains a value that is core to our Playlearning™ approach.

We’ll consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-11-28,[] +4098048458,https://ie.linkedin.com/jobs/view/data-analyst-at-cpl-4098048458?position=2&pageNum=5&refId=XpQl%2FxsxXr8gS9sGwV7FeQ%3D%3D&trackingId=kCyH6Y3yIVUN42NlP5OrSA%3D%3D,Data Analyst,Cpl,"Dublin, County Dublin, Ireland","Title: Data Analyst + +Grade: Level D + +Department: Business Process Improvement and IT + +Reporting to: Data Team Manager, BPI & IT Department + +Location: Enterprise Ireland offices at East Point Dublin, Shannon & Galway + +Job Reference: EI.145.24E + +_____________________________________________________________________________ + +Applicants must have the legal right to live and work and be available to work in the location. + +_____________________________________________________________________________ + +Role Purpose + +The Business Process Improvement & Information Technology Department (BPI & IT) at Enterprise Ireland is seeking a Data Analyst to join us on our transformation journey. We oversee a diverse portfolio of information systems, databases, websites, online client services, and a global network and communications infrastructure. Our team collaborates across the organization to develop and procure processes and technology that support our operational and strategic needs while safeguarding organisational and client data. + +This transformational journey includes an overhaul of our target operating model, a redesign of our technical architecture and a strategic reconfiguration of our software platform landscape to meet future business objectives. A significant part of this journey will involve transitioning to a new CRM and Enterprise Data Management solution. + +Enterprise Ireland’s existing data infrastructure primarily consists of MS SQL Server Databases (On Premises and Cloud), Power BI Report Server (On-Premises), bespoke in-house developed CRM, Sales Force CRM for our overseas office network, Oracle Fusion Financials, Office 365 (E5 license) and SharePoint document libraries. + +In this role, you will play a pivotal role in enabling stakeholders to derive substantial value from our data assets, transforming them into actionable insights that drive strategic decisions and operational improvements. Leveraging our existing data environments—including relational and data warehouse databases, SSIS, SQL Agent Jobs, SQL Server Analytical Tabular model, and Power BI on-premise reports/dashboards, you will also be instrumental in the strategic design, implementation, and maintenance of our planned Enterprise Data Management solution, supporting our transformative journey towards our future data environments. + +This will involve: - + + +working closely with internal business teams and diverse data sets, including financial transactions, economic indicators, sales, employment, expenditure, investment datasets, and customer survey responses. +identifying creative and strategic opportunities. +assessing and improving reporting policies and corporate governance processes. +delivering exceptional experiences on high-profile projects. +building and developing relationships and acting as a key player in our data-driven initiatives. + + +Key Responsibilities: + +These responsibilities require a blend of technical expertise, strategic thinking, and effective communication skills, as the role of the Data Analyst will play a pivotal role in empowering stakeholders through data-driven insights. + +Data Analysis + + +Craft and execute complex queries on data repositories to address both ad hoc and in-depth data analysis requests, delivering valuable insights to the organization. +Apply statistical methods and data analysis techniques to uncover patterns, trends, and insights. +Conduct exploratory data analysis (EDA) to understand the data and identify key variables. + + +Database Management + + +Design, implement, manage and optimize data architectures such as relational Databases and Data Warehouse Star Schemas, to enhance data storage, retrieval, and analysis capabilities. + + +Data Visualisation + + +Design, implement and manage the Analytical hosting environment. +Design, implement and manage Data Model reporting schemas. +Create and manage rich interactive visualisations through data interpretation that provide insightful and actionable analytics, enabling stakeholders to make informed business decisions. + + +Data Governance & Compliance + + +Collaborate with security teams to adapt, manage, enhance, and enforce data governance policies, ensuring high standards of data access control and data privacy. +Ensure compliance with data privacy and security regulations. + + +Data Collection and Preparation + + +Assist in the design, implementation and management of data pipelines and workflows to efficiently assemble large, complex data sets from multiple sources in various formats. +Assist in ensuring data quality and integrity by implementing rigorous profiling, cleansing, augmentation, and transformation of data for analysis maintaining high standards of accuracy and reliability. + + +Collaboration + + +Engage with cross-functional teams to identify opportunities for leveraging data insights to drive and inform policy, operational, and business decisions. +Engage with the transformational team to integrate new technologies and data management practices into existing infrastructure. + + +Training and Support + + +Train and mentor stakeholders to enhance their understanding of and leverage data analytics methods and tools. +Provide technical expertise and support to end-users, resolving data and analytics issues promptly and effectively. +Document all data processes and procedures, contributing to the knowledge base and ensuring compliance with regulatory requirements. + + +Functional Competencies: + +These competencies enable the Data Analyst to contribute to data-driven strategies, enhance operational efficiency, and support the organization’s goals. + +Experience and Education + + +Substantial professional experience in data analysis or a closely related field is required. +Bachelor’s degree in data science, computer science, statistics, or a related field is advantageous. + + +Technical skills in: - + + +Data Modelling: Basic/Intermediate expertise in data modelling for efficient storage and retrieval is essential. Familiarity with Power BI schemas is highly desirable. +Data Visualization: Intermediate/advanced expertise in data visualization tools like Power BI or Tableau or similar is essential. Experience with cloud-based variants of visualisation tools is highly desirable. +SQL Programming: Intermediate/advanced skills in SQL for database programming and querying is essential. +Statistical Programming: Intermediate knowledge of statistical programming languages such as Python, R, or DAX or similar for data analysis is essential. +Advanced Excel: Intermediate/advanced expertise in Excel functionalities, including Power Query and Power Pivot, is essential. In-depth knowledge of data analysis functions within Excel is highly desirable. +Data Warehousing: Intermediate/advanced expertise in data warehousing design principles, including star schema models, is essential. Familiarity with modern data warehousing solutions such as Azure Synapse Analytics, Fabric, Databricks and Snowflake is highly desirable. +Data Pipelines and ELT/ETL Processes: Basic/Intermediate expertise in the design and management of data pipelines and ELT/ETL processes is required. Experience with tools like SSIS and Azure Data Factory or similar is highly desirable. +Database Design and Management: Intermediate understanding of relational database design principles is required. Proficiency in MS SQL Server and Azure SQL Database is highly desirable. +CI/CD tools: Basic experience of Azure Devops /GIT or similar is required. +Cloud Based CRM – Basic/Intermediate experience with a leading cloud-based CRM systems such as MS Dynamics, Salesforce, Zoho, Hubspot, Zendesk, Oracle Netsuite or similar is highly desirable. + + +Enterprise Ireland Behavioural Competencies + +Results Focused + +The ability to remain outcome and results focused with regard to business priorities and organisational goals, monitoring progress and adjusting approach ensuring delivery against the appropriate timescales. + +Innovation and Risk-Taking + +Actively encourages new ideas, experimentation and measured risk-taking, while always being on the lookout for opportunities to continuously improve business processes and efficiencies within Enterprise Ireland and client organisations. + +Problem Solving and Decision-Making + +The ability to be decisive and take tough decisions about clients, people and costs to deliver sustainable results, using the analysis of information and situations to make logical and sound decisions. + +Client Focused + +The ability to provide an excellent client service focusing on client needs and building and maintaining effective personal and business relationships to advance clients’ objectives and Enterprise Ireland strategy. + +Communicating With Impact To Influence Others + +Communicates in a manner that will persuade, convince and influence their own staff and others, both internally and externally, in order to motivate, inspire or encourage them to follow a particular course of action. + +Teamworking + +Co-operates with colleagues, shares information and respects the opinions and values of staff members. Understands the skills, experience and knowledge of staff members and maximises how these can be utilised to the benefit of the department, the organisation and the client. + +Embracing & Leading Change + +Understands the business agenda of Enterprise Ireland and embraces changes for area of responsibility and for external and internal clients. + +Acting / Leading with Integrity + +Lives the Enterprise Ireland purpose and values, acting genuinely and with integrity, in a manner that builds trust and engages and motivates others, placing the genuine needs of the client, the organisation, and staff ahead of personal agendas + +Networking + +Establishes and maintains mutually beneficial relationships with colleagues and other networks for the purpose of sharing information. + +Developing Yourself & Others + +Creates an environment that enables others to excel in terms of job performance. + +Salary Scale: + +€50,501 to €72,534 per annum contributory superannuation Rising to €74,277 by long service increments. + +€48,244 to €69,014 per annum non-contributory superannuation Rising to €70,670 by long service increments. + +Candidates should note that entry will be at the minimum of the relevant scale and the rate of remuneration may be adjusted from time to time in line with Government pay policy. Subject to satisfactory performance, increments may be payable in line with current Government Policy. + +** Point of entry on this salary scale may differ from the minimum point of the scale if the successful candidate is a current public or civil servant. ** + +Application and Selection Process + +The selection process may include shortlisting of candidates. The selection criteria will be based on the functional competency requirements listed as essential of the position. It is therefore important that you demonstrate a detailed and accurate account of where you believe your skills and experience meet the requirements for the position. This should be contained in a short document (maximum 2 pages – see template provided) accompanying your CV. + +To apply for the position, send a detailed CV and supporting document quoting reference number EI.145.24E to [email protected] to be received on or before Monday 13th January 2025. All correspondence will be acknowledged in writing by Cpl. + + +Show more ","
+ + + + + +
+
+ Title: Data Analyst

Grade: Level D

Department: Business Process Improvement and IT

Reporting to: Data Team Manager, BPI & IT Department

Location: Enterprise Ireland offices at East Point Dublin, Shannon & Galway

Job Reference: EI.145.24E

_____________________________________________________________________________

Applicants must have the legal right to live and work and be available to work in the location.

_____________________________________________________________________________

Role Purpose

The Business Process Improvement & Information Technology Department (BPI & IT) at Enterprise Ireland is seeking a Data Analyst to join us on our transformation journey. We oversee a diverse portfolio of information systems, databases, websites, online client services, and a global network and communications infrastructure. Our team collaborates across the organization to develop and procure processes and technology that support our operational and strategic needs while safeguarding organisational and client data.

This transformational journey includes an overhaul of our target operating model, a redesign of our technical architecture and a strategic reconfiguration of our software platform landscape to meet future business objectives. A significant part of this journey will involve transitioning to a new CRM and Enterprise Data Management solution.

Enterprise Ireland’s existing data infrastructure primarily consists of MS SQL Server Databases (On Premises and Cloud), Power BI Report Server (On-Premises), bespoke in-house developed CRM, Sales Force CRM for our overseas office network, Oracle Fusion Financials, Office 365 (E5 license) and SharePoint document libraries.

In this role, you will play a pivotal role in enabling stakeholders to derive substantial value from our data assets, transforming them into actionable insights that drive strategic decisions and operational improvements. Leveraging our existing data environments—including relational and data warehouse databases, SSIS, SQL Agent Jobs, SQL Server Analytical Tabular model, and Power BI on-premise reports/dashboards, you will also be instrumental in the strategic design, implementation, and maintenance of our planned Enterprise Data Management solution, supporting our transformative journey towards our future data environments.

This will involve: -

  • working closely with internal business teams and diverse data sets, including financial transactions, economic indicators, sales, employment, expenditure, investment datasets, and customer survey responses.
  • identifying creative and strategic opportunities.
  • assessing and improving reporting policies and corporate governance processes.
  • delivering exceptional experiences on high-profile projects.
  • building and developing relationships and acting as a key player in our data-driven initiatives.

Key Responsibilities:

These responsibilities require a blend of technical expertise, strategic thinking, and effective communication skills, as the role of the Data Analyst will play a pivotal role in empowering stakeholders through data-driven insights.

Data Analysis

  • Craft and execute complex queries on data repositories to address both ad hoc and in-depth data analysis requests, delivering valuable insights to the organization.
  • Apply statistical methods and data analysis techniques to uncover patterns, trends, and insights.
  • Conduct exploratory data analysis (EDA) to understand the data and identify key variables.

Database Management

  • Design, implement, manage and optimize data architectures such as relational Databases and Data Warehouse Star Schemas, to enhance data storage, retrieval, and analysis capabilities.

Data Visualisation

  • Design, implement and manage the Analytical hosting environment.
  • Design, implement and manage Data Model reporting schemas.
  • Create and manage rich interactive visualisations through data interpretation that provide insightful and actionable analytics, enabling stakeholders to make informed business decisions.

Data Governance & Compliance

  • Collaborate with security teams to adapt, manage, enhance, and enforce data governance policies, ensuring high standards of data access control and data privacy.
  • Ensure compliance with data privacy and security regulations.

Data Collection and Preparation

  • Assist in the design, implementation and management of data pipelines and workflows to efficiently assemble large, complex data sets from multiple sources in various formats.
  • Assist in ensuring data quality and integrity by implementing rigorous profiling, cleansing, augmentation, and transformation of data for analysis maintaining high standards of accuracy and reliability.

Collaboration

  • Engage with cross-functional teams to identify opportunities for leveraging data insights to drive and inform policy, operational, and business decisions.
  • Engage with the transformational team to integrate new technologies and data management practices into existing infrastructure.

Training and Support

  • Train and mentor stakeholders to enhance their understanding of and leverage data analytics methods and tools.
  • Provide technical expertise and support to end-users, resolving data and analytics issues promptly and effectively.
  • Document all data processes and procedures, contributing to the knowledge base and ensuring compliance with regulatory requirements.

Functional Competencies:

These competencies enable the Data Analyst to contribute to data-driven strategies, enhance operational efficiency, and support the organization’s goals.

Experience and Education

  • Substantial professional experience in data analysis or a closely related field is required.
  • Bachelor’s degree in data science, computer science, statistics, or a related field is advantageous.

Technical skills in: -

  • Data Modelling: Basic/Intermediate expertise in data modelling for efficient storage and retrieval is essential. Familiarity with Power BI schemas is highly desirable.
  • Data Visualization: Intermediate/advanced expertise in data visualization tools like Power BI or Tableau or similar is essential. Experience with cloud-based variants of visualisation tools is highly desirable.
  • SQL Programming: Intermediate/advanced skills in SQL for database programming and querying is essential.
  • Statistical Programming: Intermediate knowledge of statistical programming languages such as Python, R, or DAX or similar for data analysis is essential.
  • Advanced Excel: Intermediate/advanced expertise in Excel functionalities, including Power Query and Power Pivot, is essential. In-depth knowledge of data analysis functions within Excel is highly desirable.
  • Data Warehousing: Intermediate/advanced expertise in data warehousing design principles, including star schema models, is essential. Familiarity with modern data warehousing solutions such as Azure Synapse Analytics, Fabric, Databricks and Snowflake is highly desirable.
  • Data Pipelines and ELT/ETL Processes: Basic/Intermediate expertise in the design and management of data pipelines and ELT/ETL processes is required. Experience with tools like SSIS and Azure Data Factory or similar is highly desirable.
  • Database Design and Management: Intermediate understanding of relational database design principles is required. Proficiency in MS SQL Server and Azure SQL Database is highly desirable.
  • CI/CD tools: Basic experience of Azure Devops /GIT or similar is required.
  • Cloud Based CRM – Basic/Intermediate experience with a leading cloud-based CRM systems such as MS Dynamics, Salesforce, Zoho, Hubspot, Zendesk, Oracle Netsuite or similar is highly desirable.

Enterprise Ireland Behavioural Competencies

Results Focused

The ability to remain outcome and results focused with regard to business priorities and organisational goals, monitoring progress and adjusting approach ensuring delivery against the appropriate timescales.

Innovation and Risk-Taking

Actively encourages new ideas, experimentation and measured risk-taking, while always being on the lookout for opportunities to continuously improve business processes and efficiencies within Enterprise Ireland and client organisations.

Problem Solving and Decision-Making

The ability to be decisive and take tough decisions about clients, people and costs to deliver sustainable results, using the analysis of information and situations to make logical and sound decisions.

Client Focused

The ability to provide an excellent client service focusing on client needs and building and maintaining effective personal and business relationships to advance clients’ objectives and Enterprise Ireland strategy.

Communicating With Impact To Influence Others

Communicates in a manner that will persuade, convince and influence their own staff and others, both internally and externally, in order to motivate, inspire or encourage them to follow a particular course of action.

Teamworking

Co-operates with colleagues, shares information and respects the opinions and values of staff members. Understands the skills, experience and knowledge of staff members and maximises how these can be utilised to the benefit of the department, the organisation and the client.

Embracing & Leading Change

Understands the business agenda of Enterprise Ireland and embraces changes for area of responsibility and for external and internal clients.

Acting / Leading with Integrity

Lives the Enterprise Ireland purpose and values, acting genuinely and with integrity, in a manner that builds trust and engages and motivates others, placing the genuine needs of the client, the organisation, and staff ahead of personal agendas

Networking

Establishes and maintains mutually beneficial relationships with colleagues and other networks for the purpose of sharing information.

Developing Yourself & Others

Creates an environment that enables others to excel in terms of job performance.

Salary Scale:

€50,501 to €72,534 per annum contributory superannuation Rising to €74,277 by long service increments.

€48,244 to €69,014 per annum non-contributory superannuation Rising to €70,670 by long service increments.

Candidates should note that entry will be at the minimum of the relevant scale and the rate of remuneration may be adjusted from time to time in line with Government pay policy. Subject to satisfactory performance, increments may be payable in line with current Government Policy.

** Point of entry on this salary scale may differ from the minimum point of the scale if the successful candidate is a current public or civil servant. **

Application and Selection Process

The selection process may include shortlisting of candidates. The selection criteria will be based on the functional competency requirements listed as essential of the position. It is therefore important that you demonstrate a detailed and accurate account of where you believe your skills and experience meet the requirements for the position. This should be contained in a short document (maximum 2 pages – see template provided) accompanying your CV.

To apply for the position, send a detailed CV and supporting document quoting reference number EI.145.24E to [email protected] to be received on or before Monday 13th January 2025. All correspondence will be acknowledged in writing by Cpl.

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",2024-12-11,[] +4094671207,https://pt.linkedin.com/jobs/view/data-analyst-at-gerodigital-4094671207?position=3&pageNum=5&refId=XpQl%2FxsxXr8gS9sGwV7FeQ%3D%3D&trackingId=KD05IwqIQifD4Uml%2BBDAjQ%3D%3D,Data Analyst,GeroDigital,"Porto, Portugal","Antes de saberes quem somos, é importante saberes quem não somos. Não somos uma equipa qualquer. Somos muito mais do que isso. + +Com a nossa expertise em geração de leads, ajudamos clientes a tomar as melhores decisões na aquisição de produtos e serviços, fornecendo leads qualificadas que atendam às suas necessidades e desejos específicos. + +A nossa missão é inequívoca, ajudar pessoas, gerar sucesso, gerar impacto. + +Na Gerodigital, focamos no que realmente importa. Sabemos quem somos e somos apaixonados pelo que fazemos. Trabalhamos para que os nossos clientes se sintam felizes, porque acreditamos que o sucesso deles é o nosso sucesso. + +Estamos sempre à procura de profissionais que compartilhem os nossos valores e queiram fazer parte desta caminhada. + +A Missão: + + +Atualizar e manter dashboards no Power BI, garantindo dados precisos e análises claras para suportar decisões estratégicas +Gerir e otimizar bases de dados em ambiente Azure, garantindo segurança, integridade e desempenho +Automatizar processos de ETL para garantir a eficiência e a atualização dos dados +Garantir a integração de dados provenientes de diferentes fontes (APIs, bancos de dados externos, etc.) +Trabalhar em conjunto com a equipa de marketing e outros departamentos para compreender necessidades de dados e implementar soluções personalizadas +Manter-se atualizado com as últimas tendências e práticas em marketing digital, assegurando que a equipa esteja sempre a acompanhar a inovação + + + +Requirements + + +Pelo menos 2 anos de experiência com Power BI +Experiência comprovada em gerir bases de dados no Azure (SQL Database) +Conhecimentos de linguagens: SQL e Python +Conhecimentos de ferramentas de ETL e Excel +Conhecimentos de segurança em ambiente Azure +Capacidade analítica e habilidades para interpretar e comunicar dados de forma eficaz +Boa comunicação e perfil colaborativo +Inglês fluente: Porque a comunicação global é essencial +Experiência com ferramentas de machine learning ou análise preditiva (não obrigatório) +Experiência em empresas de marketing (não obrigatório) + + + +Benefits + + +Crescimento na Carreira: Uma excelente oportunidade para progredires na tua carreira +Formação Contínua: Acesso a um budget anual para formação, porque acreditamos em aprendizagem contínua +Flexibilidade: Regime de trabalho híbrido +Bem-estar em Primeiro Lugar: Seguro de saúde e acesso a benefícios empresariais +Excelentes Condições de Trabalho: Um ambiente que inspira e motiva +Show more ","
+ + + + + +
+
+ Antes de saberes quem somos, é importante saberes quem não somos. Não somos uma equipa qualquer. Somos muito mais do que isso.

Com a nossa expertise em geração de leads, ajudamos clientes a tomar as melhores decisões na aquisição de produtos e serviços, fornecendo leads qualificadas que atendam às suas necessidades e desejos específicos.

A nossa missão é inequívoca, ajudar pessoas, gerar sucesso, gerar impacto.

Na Gerodigital, focamos no que realmente importa. Sabemos quem somos e somos apaixonados pelo que fazemos. Trabalhamos para que os nossos clientes se sintam felizes, porque acreditamos que o sucesso deles é o nosso sucesso.

Estamos sempre à procura de profissionais que compartilhem os nossos valores e queiram fazer parte desta caminhada.

A Missão:

  • Atualizar e manter dashboards no Power BI, garantindo dados precisos e análises claras para suportar decisões estratégicas
  • Gerir e otimizar bases de dados em ambiente Azure, garantindo segurança, integridade e desempenho
  • Automatizar processos de ETL para garantir a eficiência e a atualização dos dados
  • Garantir a integração de dados provenientes de diferentes fontes (APIs, bancos de dados externos, etc.)
  • Trabalhar em conjunto com a equipa de marketing e outros departamentos para compreender necessidades de dados e implementar soluções personalizadas
  • Manter-se atualizado com as últimas tendências e práticas em marketing digital, assegurando que a equipa esteja sempre a acompanhar a inovação


Requirements

  • Pelo menos 2 anos de experiência com Power BI
  • Experiência comprovada em gerir bases de dados no Azure (SQL Database)
  • Conhecimentos de linguagens: SQL e Python
  • Conhecimentos de ferramentas de ETL e Excel
  • Conhecimentos de segurança em ambiente Azure
  • Capacidade analítica e habilidades para interpretar e comunicar dados de forma eficaz
  • Boa comunicação e perfil colaborativo
  • Inglês fluente: Porque a comunicação global é essencial
  • Experiência com ferramentas de machine learning ou análise preditiva (não obrigatório)
  • Experiência em empresas de marketing (não obrigatório)


Benefits

  • Crescimento na Carreira: Uma excelente oportunidade para progredires na tua carreira
  • Formação Contínua: Acesso a um budget anual para formação, porque acreditamos em aprendizagem contínua
  • Flexibilidade: Regime de trabalho híbrido
  • Bem-estar em Primeiro Lugar: Seguro de saúde e acesso a benefícios empresariais
  • Excelentes Condições de Trabalho: Um ambiente que inspira e motiva
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-06,[] +4084220165,https://pt.linkedin.com/jobs/view/data-analyst-at-closer-consulting-4084220165?position=4&pageNum=5&refId=XpQl%2FxsxXr8gS9sGwV7FeQ%3D%3D&trackingId=%2FpTa0k5Li8S60OPiYuAvpQ%3D%3D,Data Analyst,Closer Consulting,"Porto, Portugal","Mutual Respect, Empathy, Innovation and Professional Pride. Do you see yourself within these values? + +Founded in 2006 under the mission ""To Challenge Complexity"", Closer Consulting is a Data Science company specialized in Business Intelligence, Advanced Analytics and Artificial Intelligence. + +By developing projects in the most diverse industries – Banking, Telecommunications, Health, Retail, Energy, Insurance or Aviation - we analyze data, transforming it into knowledge for our clients, allowing them to adopt the best decision-making for their respective organizations and businesses. + +We are now seeking a Data Analyst willing to accept new challenges in our Closer team. + +*For this position you need to have residency in Portugal. + + + + +ARE YOU THE ONE?? + + + + +As a Data Analyst you will use data analytical and visualization techniques to solve business issues in different geographies: + +•Create and update PowerBI Dashboards + +•Collect data (internal & external) and investigate their business value through data analysis and visualization + +•Create and adapt data analysis models and tools + +•Mount, execute and automate ETL processes for extracting data (with python and SQL) to serve analytical needs + +•Develop & improve data quality controls and standardize processes and analyses + +•Ensure high quality of delivery + +•Collect and visualize KPIs on the performance of our in-house models + +•Basic knowledge of data python packages + + + + +If you believe in this match as much as we do, send your CV to leonor.carvalho@closer.pt and reach the closest side of life. + + + + +Closer is a company that values diversity and inclusion. We are committed to fostering an environment where everyone is treated with dignity and respect, regardless of race, gender, beliefs, sexual orientation, physical or mental disability, or other personal characteristics. + +Show more ","
+ + + + + +
+
+

Mutual Respect, Empathy, Innovation and Professional Pride. Do you see yourself within these values?

Founded in 2006 under the mission ""To Challenge Complexity"", Closer Consulting is a Data Science company specialized in Business Intelligence, Advanced Analytics and Artificial Intelligence.

By developing projects in the most diverse industries – Banking, Telecommunications, Health, Retail, Energy, Insurance or Aviation - we analyze data, transforming it into knowledge for our clients, allowing them to adopt the best decision-making for their respective organizations and businesses.

We are now seeking a Data Analyst willing to accept new challenges in our Closer team.

*For this position you need to have residency in Portugal.


ARE YOU THE ONE??


As a Data Analyst you will use data analytical and visualization techniques to solve business issues in different geographies:

•Create and update PowerBI Dashboards

•Collect data (internal & external) and investigate their business value through data analysis and visualization

•Create and adapt data analysis models and tools

•Mount, execute and automate ETL processes for extracting data (with python and SQL) to serve analytical needs

•Develop & improve data quality controls and standardize processes and analyses

•Ensure high quality of delivery

•Collect and visualize KPIs on the performance of our in-house models

•Basic knowledge of data python packages


If you believe in this match as much as we do, send your CV to leonor.carvalho@closer.pt and reach the closest side of life.


Closer is a company that values diversity and inclusion. We are committed to fostering an environment where everyone is treated with dignity and respect, regardless of race, gender, beliefs, sexual orientation, physical or mental disability, or other personal characteristics.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-11-27,[] +4083367207,https://es.linkedin.com/jobs/view/ai-data-analytics-intern-at-engie-espa%C3%B1a-4083367207?position=10&pageNum=5&refId=XpQl%2FxsxXr8gS9sGwV7FeQ%3D%3D&trackingId=bmwpUjfSIqu1M9BT%2F6Mg5A%3D%3D,AI & Data Analytics Intern,ENGIE España,"Madrid, Community of Madrid, Spain","Our Group is a global reference in low-carbon energy and services. Together with our 96.000 employees, our customers, partners and stakeholders, we are committed to accelerating the transition to a carbon neutral economy through reduced energy consumption and more environmentally friendly solutions. + + + + +Are you passionate about data and looking to jumpstart your career in analytics and artificial intelligence? + +Join our dynamic Madrid team as an AI & Data Analytics Intern and gain hands-on experience leveraging data to drive meaningful insights and decision-making. + + + + +Mission + +This role will provide you with a comprehensive understanding of the full data lifecycle, from ETL processes to visualization, while allowing you to actively contribute to critical projects and improve existing systems. + + + + + + + +As AI & Data Analytics intern, your main responsibilities will involve: + +Documentation: Assist in documenting processes to ensure clarity and consistency across projects. +Database Normalization: Work on optimizing and structuring databases following the ENGIE Spain standards +Process Standardization: Help establish and maintain standardized workflows and procedures. +SQL Query and View Unification: Collaborate on consolidating and improving SQL queries and views for better performance and maintainability. +Full Data Stack Support: Support the entire data lifecycle, from ETL processes to dashboard development in Power BI. +Idea Generation: Actively propose and develop innovative ideas to improve processes and solutions. All suggestions will be welcomed and evaluated! + + + + +We imagine that you: + +Are Data driven and interested in renewables +Enjoy handling data and tools to extract actionable insights. +Are proficiency in Python, SQL, and Power BI. +Are about to finish a top numerical degree/master (in Computer Science, Information Technology, Physics, Maths, Business Analytics, Engineering Degree, Economics or Statistics) +Are fluent in English → C1. + + + + +Competencies required for the job position + +Excellent critical thinking skills +Strong analytical & problem-solving skills +Strong time-management skills +Detail oriented and highly organized +Communication skills +Teamwork culture +Skilled in negotiation +Customer Success Oriented + + + + +Committed to inclusion + +At ENGIE we value and encourage diversity and inclusion. We are committed to accelerating the transition to a carbon-neutral economy achieved by integrating exceptional and diverse individuals that seek, support, and strengthen each other’s growth. + + + + +What We Offer + +Paid internships lasting 6 months to 1 year. +Full-time schedule: Monday to Thursday (full day) and Friday (reduced hours). // Summer reduced schedule from Monday to Friday during July and August. +Hybrid work model (50% remote) after the first three months. +Professional growth and future career opportunities. +A chance to gain experience in a growing and continuously evolving organization. +A dynamic, professional, and positive work environment. +Integration into a highly qualified team. +State-of-the-art office facilities. +Discounted membership for the on-site gym. +“Chill Out” zones. + + + + +ENGIE is the answer if... + +- You are looking for a solid professional project with professional projection. + +- You value being part of the first independent energy group in the world. + +- You want to grow and develop within a dynamic and challenging company. + +- If you consider that your work, together with the efforts of the people who are part of the company, can and should have a positive impact on the environment. + + + + +If you want to be part of an international group, able to offer a wide variety of jobs in a dynamic and promising sector, we are waiting for you! + +Show more ","
+ + + + + +
+
+

Our Group is a global reference in low-carbon energy and services. Together with our 96.000 employees, our customers, partners and stakeholders, we are committed to accelerating the transition to a carbon neutral economy through reduced energy consumption and more environmentally friendly solutions.


Are you passionate about data and looking to jumpstart your career in analytics and artificial intelligence?

  • Join our dynamic Madrid team as an AI & Data Analytics Intern and gain hands-on experience leveraging data to drive meaningful insights and decision-making.


Mission

  • This role will provide you with a comprehensive understanding of the full data lifecycle, from ETL processes to visualization, while allowing you to actively contribute to critical projects and improve existing systems.



As AI & Data Analytics intern, your main responsibilities will involve:

  • Documentation: Assist in documenting processes to ensure clarity and consistency across projects.
  • Database Normalization: Work on optimizing and structuring databases following the ENGIE Spain standards
  • Process Standardization: Help establish and maintain standardized workflows and procedures.
  • SQL Query and View Unification: Collaborate on consolidating and improving SQL queries and views for better performance and maintainability.
  • Full Data Stack Support: Support the entire data lifecycle, from ETL processes to dashboard development in Power BI.
  • Idea Generation: Actively propose and develop innovative ideas to improve processes and solutions. All suggestions will be welcomed and evaluated!


We imagine that you:

  • Are Data driven and interested in renewables
  • Enjoy handling data and tools to extract actionable insights.
  • Are proficiency in Python, SQL, and Power BI.
  • Are about to finish a top numerical degree/master (in Computer Science, Information Technology, Physics, Maths, Business Analytics, Engineering Degree, Economics or Statistics)
  • Are fluent in English → C1.


Competencies required for the job position

  1. Excellent critical thinking skills
  2. Strong analytical & problem-solving skills
  3. Strong time-management skills
  4. Detail oriented and highly organized
  5. Communication skills
  6. Teamwork culture
  7. Skilled in negotiation
  8. Customer Success Oriented


Committed to inclusion

At ENGIE we value and encourage diversity and inclusion. We are committed to accelerating the transition to a carbon-neutral economy achieved by integrating exceptional and diverse individuals that seek, support, and strengthen each other’s growth.


What We Offer

  • Paid internships lasting 6 months to 1 year.
  • Full-time schedule: Monday to Thursday (full day) and Friday (reduced hours). // Summer reduced schedule from Monday to Friday during July and August.
  • Hybrid work model (50% remote) after the first three months.
  • Professional growth and future career opportunities.
  • A chance to gain experience in a growing and continuously evolving organization.
  • A dynamic, professional, and positive work environment.
  • Integration into a highly qualified team.
  • State-of-the-art office facilities.
  • Discounted membership for the on-site gym.
  • “Chill Out” zones.


ENGIE is the answer if...

- You are looking for a solid professional project with professional projection.

- You value being part of the first independent energy group in the world.

- You want to grow and develop within a dynamic and challenging company.

- If you consider that your work, together with the efforts of the people who are part of the company, can and should have a positive impact on the environment.


If you want to be part of an international group, able to offer a wide variety of jobs in a dynamic and promising sector, we are waiting for you!

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-11-26,[] +4096486423,https://fr.linkedin.com/jobs/view/data-analyst-finance-at-birlasoft-4096486423?position=3&pageNum=7&refId=JxVEi%2FqLgcOJHHUPbVFBPg%3D%3D&trackingId=SzjDfE%2BK%2FjlhCEuMoKnHoQ%3D%3D,Data Analyst - Finance,Birlasoft,"Paris, Île-de-France, France","Data Analyst Role Summary + +This candidate should have experience in data analysis and data integration to contribute to the development of the data-driven and artificial intelligence solutions for our company objectives. The successful candidate will be responsible for understanding business requirements, translating them into actionable insights using thorough data analysis, and working alongside the development team to ensure seamless integration of systems and data. The candidate will interpret and analyse data to transform it into information for all business areas to support their decision making. Responsibilities span the full lifecycle activities including requirements analysis and design, development of analysis and reporting capabilities, and continuous monitoring of performance and quality control plans to identify improvements. + +Responsibilities + +Perform business and data analysis for end user reports and ETL requests. Complete this objective through the utilization of SQL, and/or other reporting & data mining technology tools. +Collaborate with various stakeholders, including business users, IT teams, and external vendors to gather, analyze, and document business requirements related to finance or investments and data integration solutions. +Assist the development and delivery of ETL applications, adhoc / recurring reports. Assist with testing and implementation from a data lifecycle perspective. +Acquire a strong understanding of the company’s AI initiatives and assist in designing, building, and implementing AI solutions for investments, when required. +Develop appropriate data requirements of documentation in line with PB’s/PCS’s SDLC framework including data requirements, data mapping, data analysis and test plans, workflows, and data integrations. +Design & develop reports with corresponding dashboards to monitor the performance and effectiveness of finance / investment systems and to provide actionable insights for business users. +Define data quality plans to address data quality issues; work with business partners to build business understanding of data issues. +Coordinate user testing, training, and rollout activities for the implemented data analysis and data integration solutions. Ensure a smooth transition for end-users. +Cultivate strong professional work-relationships with team members across the business as appropriate. +Facilitate individual workload and deliver upon project milestones on time / within budget. + + + + + + + +Technical Qualifications + +6 – 8. 5 years of background knowledge as a Data Analyst or IT Business Analyst with a focus on finance or investments and data analysis / integration. +Strong knowledge of relevant technology toolsets relative to data analysis and documentation including SQL, data modeling, metadata organization, data cleaning, and reporting tools. (i.e., business objects, or other data reporting / data mining tools. +Require experience with large SQL databases. +Good to have knowledge on MicroStrategy, is a plus +Adept within queries, report writing, and able to present findings. +Familiarity with the Pharma or Med Tech domain, is a plus. + +Show more ","
+ + + + + +
+
+

Data Analyst Role Summary

This candidate should have experience in data analysis and data integration to contribute to the development of the data-driven and artificial intelligence solutions for our company objectives. The successful candidate will be responsible for understanding business requirements, translating them into actionable insights using thorough data analysis, and working alongside the development team to ensure seamless integration of systems and data. The candidate will interpret and analyse data to transform it into information for all business areas to support their decision making. Responsibilities span the full lifecycle activities including requirements analysis and design, development of analysis and reporting capabilities, and continuous monitoring of performance and quality control plans to identify improvements.

Responsibilities

  • Perform business and data analysis for end user reports and ETL requests. Complete this objective through the utilization of SQL, and/or other reporting & data mining technology tools.
  • Collaborate with various stakeholders, including business users, IT teams, and external vendors to gather, analyze, and document business requirements related to finance or investments and data integration solutions.
  • Assist the development and delivery of ETL applications, adhoc / recurring reports. Assist with testing and implementation from a data lifecycle perspective.
  • Acquire a strong understanding of the company’s AI initiatives and assist in designing, building, and implementing AI solutions for investments, when required.
  • Develop appropriate data requirements of documentation in line with PB’s/PCS’s SDLC framework including data requirements, data mapping, data analysis and test plans, workflows, and data integrations.
  • Design & develop reports with corresponding dashboards to monitor the performance and effectiveness of finance / investment systems and to provide actionable insights for business users.
  • Define data quality plans to address data quality issues; work with business partners to build business understanding of data issues.
  • Coordinate user testing, training, and rollout activities for the implemented data analysis and data integration solutions. Ensure a smooth transition for end-users.
  • Cultivate strong professional work-relationships with team members across the business as appropriate.
  • Facilitate individual workload and deliver upon project milestones on time / within budget.



Technical Qualifications

  • 6 – 8. 5 years of background knowledge as a Data Analyst or IT Business Analyst with a focus on finance or investments and data analysis / integration.
  • Strong knowledge of relevant technology toolsets relative to data analysis and documentation including SQL, data modeling, metadata organization, data cleaning, and reporting tools. (i.e., business objects, or other data reporting / data mining tools.
  • Require experience with large SQL databases.
  • Good to have knowledge on MicroStrategy, is a plus
  • Adept within queries, report writing, and able to present findings.
  • Familiarity with the Pharma or Med Tech domain, is a plus.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-11,[] +4098203103,https://se.linkedin.com/jobs/view/data-science-graduate-at-visa-4098203103?position=7&pageNum=7&refId=JxVEi%2FqLgcOJHHUPbVFBPg%3D%3D&trackingId=tzO%2B%2BvxyAkPcTWMWM7wIIg%3D%3D,Data Science Graduate,Visa,"Stockholm, Stockholm County, Sweden","Company Description + +Fascinated by the future and captivated by technology? + +Smart, driven and want to make a difference in the world? + +You’ll fit right in. + +Join a diverse team at Visa, where your individuality fits right in. We can provide the opportunity to shape the payments experience globally. Together, let’s transform the way the world pays. + +Think you know us? + +Our mission is to connect the world through the most innovative, reliable and secure digital payment network that enables individuals, businesses and economies to thrive. + +Individuality fuels our brand and our global team — we’re proud to be a talented team of 15,000 individuals with unique backgrounds, perspectives and experiences. We understand that you are much more than your day job. We encourage quality of life outside of the office: whether it’s taking advantage of agile working schedules or our wellness programmes, Visa respects and encourages meaningful work/life balance for everyone. In addition, we offer market-leading compensation and have a fantastic benefits offering. + +So, if you’re not satisfied with the status quo, we can satisfy your desire to explore new territory, giving you the runway to really make an impact, whilst connecting you with teams around the world in a truly inclusive culture that celebrates our uniqueness. + +Job Description + +What we expect of you, day to day: + +The Data Scientist graduate is a key member of the client facing Data Science Lab team in the European region. As a Data Scientist, you will be accountable for the development and delivery of analytics driven strategies and solutions for Visa’s external clients in Europe. In this role, you will work collaboratively with VCA and a multitude of internal functions, their senior leaders and our clients in promoting insights driven culture, creative and cutting edge analytic solutions and best practices to drive business performance with a clear commercial ‘value’ and measurable ‘return’. Half of your day will involve delivering project (coding/working with data) and the other half will be dedicated to discussing data requirements, managing internal and external meetings. Please bear in mind that our workload varies tremendously given each project is very bespoke, sometimes we might be delivering a csv file, another time a predictive machine learning model or segmentation. Whatever the solution is, you will be involved in the end to end process starting from gathering clients requirements all the way to delivering actionable insight enabling our clients to make data driven business decisions. + +Principal Responsibilities + + +Evangelizes the creative use of data science to solve business problems with external clients  +Works with VCA consultants in market to drive data science business development opportunities across key accounts to meet VCA revenue targets +Applies data science and predictive techniques that can be used to enhance client profitability across acquisition and retention +Works with VCA consultants on conducting VisaNet data analysis on key metrics in order to articulate key issuer P&L opportunities to drive revenue growth for our clients and Visa +Create and deliver powerful business-centric insights from data through better visualization and storyboarding +Collaborating with the internal and external partners to fully understand business requirements and desired business outcomes +Execution proficiency in handling multiple medium to large data science projects along with rest of the stakeholders in the project team +Defining detailed analytic scope and methodology, and creating analytic plans +Executing on the analytic plans with appropriate data mining and statistical techniques +Ensuring project delivery within timelines and budget requirements +Ensuring all project documentation is up to date and all projects are reviewed per analytic plan +Enhancing existing solutions and approaches by promoting new methodology and best practices in data science field +Providing subject matter expertise and quality assurance of complex data science projects +Automating processes/codes +Familiarising yourself with new tools/software/techniques + + +Qualifications + +What we’re after… + + +Graduate/Post Graduate degree (Masters or Ph.D.) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience . +Graduating in 2025. +Results oriented with strong analytical, consultative and problem-solving skills, with demonstrated intellectual and analytical rigor +Familiarity with modern distributed systems, including both Hadoop/SQL/MLP and Apache Spark etc. +Familiarity with one or more data analytics/programming tools such as R or Python +Knowledge of applying predictive modelling and machine learning technique to problems +Ability to communicate with impact and interest in working in a consulting-like environment and client-facing project roles + + +Additional Information + +All your information will be kept confidential according to EEO guidelines. +Show more ","
+ + + + + +
+
+ Company Description

Fascinated by the future and captivated by technology?

Smart, driven and want to make a difference in the world?

You’ll fit right in.

Join a diverse team at Visa, where your individuality fits right in. We can provide the opportunity to shape the payments experience globally. Together, let’s transform the way the world pays.

Think you know us?

Our mission is to connect the world through the most innovative, reliable and secure digital payment network that enables individuals, businesses and economies to thrive.

Individuality fuels our brand and our global team — we’re proud to be a talented team of 15,000 individuals with unique backgrounds, perspectives and experiences. We understand that you are much more than your day job. We encourage quality of life outside of the office: whether it’s taking advantage of agile working schedules or our wellness programmes, Visa respects and encourages meaningful work/life balance for everyone. In addition, we offer market-leading compensation and have a fantastic benefits offering.

So, if you’re not satisfied with the status quo, we can satisfy your desire to explore new territory, giving you the runway to really make an impact, whilst connecting you with teams around the world in a truly inclusive culture that celebrates our uniqueness.

Job Description

What we expect of you, day to day:

The Data Scientist graduate is a key member of the client facing Data Science Lab team in the European region. As a Data Scientist, you will be accountable for the development and delivery of analytics driven strategies and solutions for Visa’s external clients in Europe. In this role, you will work collaboratively with VCA and a multitude of internal functions, their senior leaders and our clients in promoting insights driven culture, creative and cutting edge analytic solutions and best practices to drive business performance with a clear commercial ‘value’ and measurable ‘return’. Half of your day will involve delivering project (coding/working with data) and the other half will be dedicated to discussing data requirements, managing internal and external meetings. Please bear in mind that our workload varies tremendously given each project is very bespoke, sometimes we might be delivering a csv file, another time a predictive machine learning model or segmentation. Whatever the solution is, you will be involved in the end to end process starting from gathering clients requirements all the way to delivering actionable insight enabling our clients to make data driven business decisions.

Principal Responsibilities

  • Evangelizes the creative use of data science to solve business problems with external clients 
  • Works with VCA consultants in market to drive data science business development opportunities across key accounts to meet VCA revenue targets
  • Applies data science and predictive techniques that can be used to enhance client profitability across acquisition and retention
  • Works with VCA consultants on conducting VisaNet data analysis on key metrics in order to articulate key issuer P&L opportunities to drive revenue growth for our clients and Visa
  • Create and deliver powerful business-centric insights from data through better visualization and storyboarding
  • Collaborating with the internal and external partners to fully understand business requirements and desired business outcomes
  • Execution proficiency in handling multiple medium to large data science projects along with rest of the stakeholders in the project team
  • Defining detailed analytic scope and methodology, and creating analytic plans
  • Executing on the analytic plans with appropriate data mining and statistical techniques
  • Ensuring project delivery within timelines and budget requirements
  • Ensuring all project documentation is up to date and all projects are reviewed per analytic plan
  • Enhancing existing solutions and approaches by promoting new methodology and best practices in data science field
  • Providing subject matter expertise and quality assurance of complex data science projects
  • Automating processes/codes
  • Familiarising yourself with new tools/software/techniques

Qualifications

What we’re after…

  • Graduate/Post Graduate degree (Masters or Ph.D.) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience .
  • Graduating in 2025.
  • Results oriented with strong analytical, consultative and problem-solving skills, with demonstrated intellectual and analytical rigor
  • Familiarity with modern distributed systems, including both Hadoop/SQL/MLP and Apache Spark etc.
  • Familiarity with one or more data analytics/programming tools such as R or Python
  • Knowledge of applying predictive modelling and machine learning technique to problems
  • Ability to communicate with impact and interest in working in a consulting-like environment and client-facing project roles

Additional Information

All your information will be kept confidential according to EEO guidelines. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-11,[] +4087166051,https://es.linkedin.com/jobs/view/data-analyst-at-auren-personas-selecci%C3%B3n-executive-search-4087166051?position=8&pageNum=7&refId=JxVEi%2FqLgcOJHHUPbVFBPg%3D%3D&trackingId=tp3sAKyKBhPz7UbftBEtSw%3D%3D,Data Analyst,Auren Personas - Selección & Executive Search,"Madrid, Community of Madrid, Spain","En Auren Personas trabajamos desde la división de Selección & Executive Search y nos dedicamos a proporcionar servicios especializados de consultoría de Recursos Humanos. + + + + +Actualmente estamos colaborando con NUTRION INTERNACIONAL, una destacada empresa dedicada a la producción y comercialización de ingredientes para la alimentación animal ubicada en Madrid, que busca incorporar a su plantilla a una persona para el puesto de Data Analyst. + + + + +Descripción del Puesto: + +Buscamos un/a profesional con conocimientos en análisis de datos, sistemas de Business Analytics e Inteligencia Artificial, que se encargue de la optimización de procesos mediante el uso de IA y Big Data. La persona seleccionada deberá ser capaz de diseñar y gestionar modelos de análisis de datos, incluyendo modelos de IA con capacidades predictivas, basados en los datos de la empresa, asegurando la integridad y seguridad de la información. + + + + +Principales Responsabilidades: + +Establecer la política de datos de la empresa, procesos de extracción de datos, integración y mantenimiento, incluyendo la optimización del rendimiento y la seguridad para proteger la integridad de los datos de la compañía. +Participar en el diseño, desarrollo, y gestión de modelos de análisis de datos integrados con herramientas de IA, enfocados al análisis y predicción, que ayuden a una mejor toma de decisiones en la compañía. +Integración de estos modelos con el ERP IFS como fuente principal de información, y con otras fuentes de datos, tanto internas como externas, asegurando la cohesión entre aplicaciones y plataformas. + + + + +Requisitos Técnicos: + +Experiencia en proyectos de implantación de sistemas basados en análisis de datos y optimización de procesos con herramientas de IA y Big Data. +Experiencia en procesos de extracción e integración de datos de fuentes estructuradas y no estructuradas incluyendo la integración con sistemas ERP. +Conocimientos en machine learning y data mining. +Familiaridad con herramientas de visualización de datos, preferiblemente Power BI, para la generación de informes y dashboards. +Experiencia en la gestión de seguridad y control de acceso a los datos corporativos. + + + + +Formación Académica: + +Título universitario en Ingeniería en Informática, Business Analytics, o áreas afines. +Deseable máster o certificación en Data Science, IA o Big Data. + + + + +Experiencia Laboral: + +Experiencia demostrable en proyectos de implantación de sistemas de Data Analytics e IA orientados a negocio. +Experiencia en gestión de datos y ciberseguridad. + + + + +En Auren Selección & Executive Search, ofrecemos un abanico global de soluciones de identificación, captación, selección y evaluación de talento. + + + + +Brindamos servicios locales e internacionales para cualquier volumen. Contamos con equipos altamente especializados, más de 20 años de experiencia y probados casos de éxito. + +Show more ","
+ + + + + +
+
+

En Auren Personas trabajamos desde la división de Selección & Executive Search y nos dedicamos a proporcionar servicios especializados de consultoría de Recursos Humanos.


Actualmente estamos colaborando con NUTRION INTERNACIONAL, una destacada empresa dedicada a la producción y comercialización de ingredientes para la alimentación animal ubicada en Madrid, que busca incorporar a su plantilla a una persona para el puesto de Data Analyst.


Descripción del Puesto:

Buscamos un/a profesional con conocimientos en análisis de datos, sistemas de Business Analytics e Inteligencia Artificial, que se encargue de la optimización de procesos mediante el uso de IA y Big Data. La persona seleccionada deberá ser capaz de diseñar y gestionar modelos de análisis de datos, incluyendo modelos de IA con capacidades predictivas, basados en los datos de la empresa, asegurando la integridad y seguridad de la información.


Principales Responsabilidades:

  • Establecer la política de datos de la empresa, procesos de extracción de datos, integración y mantenimiento, incluyendo la optimización del rendimiento y la seguridad para proteger la integridad de los datos de la compañía.
  • Participar en el diseño, desarrollo, y gestión de modelos de análisis de datos integrados con herramientas de IA, enfocados al análisis y predicción, que ayuden a una mejor toma de decisiones en la compañía.
  • Integración de estos modelos con el ERP IFS como fuente principal de información, y con otras fuentes de datos, tanto internas como externas, asegurando la cohesión entre aplicaciones y plataformas.


Requisitos Técnicos:

  • Experiencia en proyectos de implantación de sistemas basados en análisis de datos y optimización de procesos con herramientas de IA y Big Data.
  • Experiencia en procesos de extracción e integración de datos de fuentes estructuradas y no estructuradas incluyendo la integración con sistemas ERP.
  • Conocimientos en machine learning y data mining.
  • Familiaridad con herramientas de visualización de datos, preferiblemente Power BI, para la generación de informes y dashboards.
  • Experiencia en la gestión de seguridad y control de acceso a los datos corporativos.


Formación Académica:

  • Título universitario en Ingeniería en Informática, Business Analytics, o áreas afines.
  • Deseable máster o certificación en Data Science, IA o Big Data.


Experiencia Laboral:

  • Experiencia demostrable en proyectos de implantación de sistemas de Data Analytics e IA orientados a negocio.
  • Experiencia en gestión de datos y ciberseguridad.


En Auren Selección & Executive Search, ofrecemos un abanico global de soluciones de identificación, captación, selección y evaluación de talento.


Brindamos servicios locales e internacionales para cualquier volumen. Contamos con equipos altamente especializados, más de 20 años de experiencia y probados casos de éxito.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-03,[] +4086482871,https://pl.linkedin.com/jobs/view/junior-data-analyst-sql-python-at-verisk-4086482871?position=6&pageNum=10&refId=PkugSKzfsFK4sCyclo4bOg%3D%3D&trackingId=fLLebr8IUsViv2q3Ndww1Q%3D%3D,Junior Data analyst (SQL&Python),Verisk,"Cracow, Małopolskie, Poland","Company Description + +We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable. + +Job Description + +The ISO unit of Verisk is looking for Junior Insurance Data Analysts to support our large team of actuaries and data analytics experts, who create innovative analytic products based on our unique database of over 21 billion records spanning more than twenty lines of insurance. + +You will play a hands-on role in developing new processes to create a wide variety of ISO’s analytic solutions including: our advisory prospective loss costs and rating factors; analyses that underlie the development of our loss costs (such as distributions by peril, classification or geographic area); actuarial projection of ultimate claims, and analysis of trends impacting premiums and claims; analytical data management, including smart data quality analytics, data aggregations provided to US state insurance regulators and analytic research & development. + +A successful Insurance Data Analyst will possess excellent technical and mathematical skills, to work with data and derive analyses. Most important, though, is a sense of inquisitiveness about data, and the ability not just to manipulate data, but to also understand and preserve the business meaning behind it. + +Qualifications + + +Strong analytical, problem-solving and decision-making skills with a technical mindset +Practical knowledge of SQL +Practical experience with using Python +Good presentation and public speaking skills with a focus on internal stakeholders are crucial +Fluency in English is required (C1 spoken and written) +A basic understanding of data cloud architecture (e.g., Snowflake, AWS, Azure, Google Cloud, IBM) is preferred but not required +Understanding of Data Engineering concept and processes +Familiarity with PowerBI or Sigma in building effective data visualization dashboards would be a strong asset +Willingness to work in a hybrid model from our Cracow Office as a full-time employee. + + +Additional Information + +For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster. + +At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. + +For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work® Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture. + +We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations. + +Verisk Businesses + +Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision + +Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences + +Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient + +Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events. + +Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance + +Marketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement + +Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group. + +Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger + +Verisk Analytics is an equal opportunity employer. + +All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. + +http://www.verisk.com/careers.html + +Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. + + +Show more ","
+ + + + + +
+
+ Company Description

We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable.

Job Description

The ISO unit of Verisk is looking for Junior Insurance Data Analysts to support our large team of actuaries and data analytics experts, who create innovative analytic products based on our unique database of over 21 billion records spanning more than twenty lines of insurance.

You will play a hands-on role in developing new processes to create a wide variety of ISO’s analytic solutions including: our advisory prospective loss costs and rating factors; analyses that underlie the development of our loss costs (such as distributions by peril, classification or geographic area); actuarial projection of ultimate claims, and analysis of trends impacting premiums and claims; analytical data management, including smart data quality analytics, data aggregations provided to US state insurance regulators and analytic research & development.

A successful Insurance Data Analyst will possess excellent technical and mathematical skills, to work with data and derive analyses. Most important, though, is a sense of inquisitiveness about data, and the ability not just to manipulate data, but to also understand and preserve the business meaning behind it.

Qualifications

  • Strong analytical, problem-solving and decision-making skills with a technical mindset
  • Practical knowledge of SQL
  • Practical experience with using Python
  • Good presentation and public speaking skills with a focus on internal stakeholders are crucial
  • Fluency in English is required (C1 spoken and written)
  • A basic understanding of data cloud architecture (e.g., Snowflake, AWS, Azure, Google Cloud, IBM) is preferred but not required
  • Understanding of Data Engineering concept and processes
  • Familiarity with PowerBI or Sigma in building effective data visualization dashboards would be a strong asset
  • Willingness to work in a hybrid model from our Cracow Office as a full-time employee.

Additional Information

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work® Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.

We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

Verisk Businesses

Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision

Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences

Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient

Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.

Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance

Marketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement

Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.

Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.

http://www.verisk.com/careers.html

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-11-27,[] +4096364541,https://nl.linkedin.com/jobs/view/data-analyst-at-intuition-it-%E2%80%93-intuitive-technology-recruitment-4096364541?position=10&pageNum=10&refId=PkugSKzfsFK4sCyclo4bOg%3D%3D&trackingId=V3uUVkEvFNnoVrxLmngdXA%3D%3D,Data Analyst,Intuition IT – Intuitive Technology Recruitment,"Amsterdam, North Holland, Netherlands","Role: Data Analyst + +Type: Contract + +Location : Amsterdam, Netherlands (hybrid) + +Notice Period : ASAP + +Language: Dutch Mandatory + + + + +Job Description: + +Experience with Shadow runs (incl. reconsolidation) +Experience with Splunk, SQL and BI tools. +Requirements for Shadowrun reconciliation dashboard (includes defining the success and fail criteria per interface). +Knowledge how to configure shadowrun. +Analyze the outcome of the shadowrun and trouble shooting of issues. +Speak person to Product Owner, BIT lead and TRT lead/team members to discuss the outcome of the Shadowrun. + +Show more ","
+ + + + + +
+
+

Role: Data Analyst

Type: Contract

Location : Amsterdam, Netherlands (hybrid)

Notice Period : ASAP

Language: Dutch Mandatory


Job Description:

  • Experience with Shadow runs (incl. reconsolidation)
  • Experience with Splunk, SQL and BI tools.
  • Requirements for Shadowrun reconciliation dashboard (includes defining the success and fail criteria per interface).
  • Knowledge how to configure shadowrun.
  • Analyze the outcome of the shadowrun and trouble shooting of issues.
  • Speak person to Product Owner, BIT lead and TRT lead/team members to discuss the outcome of the Shadowrun.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-11,[] diff --git a/data/data_scientist_20241214.csv b/data/data_scientist_20241214.csv new file mode 100644 index 0000000..e7ba5b1 --- /dev/null +++ b/data/data_scientist_20241214.csv @@ -0,0 +1,1998 @@ +Job_ID,Link,Title,Company,Place,Description,HTML,Date,Skills +4088241874,https://ca.linkedin.com/jobs/view/data-scientist-real-estate-at-circle-k-4088241874?position=4&pageNum=0&refId=LUUGJp5%2FlBgJB5H9BEbqgg%3D%3D&trackingId=wugwtIJqZrhk7SaSGy%2FlLw%3D%3D,Data Scientist - Real Estate,Circle K,"Scarborough, Ontario, Canada","JOIN OUR TEAM! + +At Couche-Tard/Circle K, our mission is simple: to make our customer’s lives a little easier everyday. You may have already stopped for coffee, refueling your car, or eating something on the go. Then, you know what Couche-Tard/Circle K is. We have grown into a successful global company with over 16,000 stores in 29 countries, serving almost 9 million customers every day. In total, more than 150,000 people work in our stores and offices. We make journeys easier by offering fast and friendly service. We care about our people and our communities, and we look for ways to uplift people first. Wherever your journey’s going, we can help you get there.   Are you ready to grow your career? Let's grow together! + +Data Scientist – Real Estate + +Department: Data Science + +Location: Toronto, Ontario + +Hybrid work: 3 days at the office and 2 days remotely + +Type of employment: Permanent, Full Time (40 hours) + +THE ROLE + +As a member of the Enterprise Data & Analytics Team, the Data Scientist is an everyday partner with multiple departments, including Global Real Estate, Global Marketing, Category Management, Shared Services & Finance, Global Technology, and Business Unit Leadership. This is a unique opportunity to work on a new, growing team within a large organization. + +The Data Scientist is responsible for delivering advanced analytics projects that drive business results. The ideal candidate should possess the ability to contribute to all aspects of project work, including interpreting business questions and desired outcomes, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables that are suitable for internal and external presentation. + +We are looking for an individual who is a proven problem solver with exceptional critical thinking ability. The candidate should have a high sense of curiosity and be comfortable with ambiguity when faced with a difficult challenge. Additionally, the candidate should possess the abilities to collaborate with others and simply and effectively communicate complex concepts with a non-technical audience. + +What You’ll Do + + +Develop advanced analytics and predictive models from design through implementation in the areas of real estate site selection forecasts and network optimization. Additional knowledge in areas including pricing and promotion, marketing, and merchandising would also be preferred +Participate in the research of analytical methods to find or advance solutions to business problems +Clearly and concisely explain complex analytical findings to non-analytical peers and business leaders +Create analytic datasets in collaboration with data engineering teams that involves data querying, cleaning, transformation, and feature engineering. Define requirements and test cases for Data validation and monitoring +Author programming code (e.g., SQL, Python, R, spark) to assemble and analyze data, following/establishing/enhancing organizational standards and coding practices including code management (i.e. Documentation, use ofGit Hub). Lead and participate in peer code reviews for QA/QC/standards compliance. +Train/Mentor other team members, provide developmental support where necessary +Follow defined project management processes. Actively participate in project plan development and agile ceremonies (development of backlog, sprint planning, daily standups, retros/reviews) and documentation. + + +What You’ll Need + +We want you to join our team! Here's what we're looking for: + +Knowledge, Skills And Other Qualifications Required + + +Demonstrated knowledge of SQL, R and Python; +Experience querying large datasets using SparkSQL or PySpark; +Experience querying geospatial data preferred +Experience with ML frameworks such as scikit-learn, Tensorflow, Keras, Pytorch, etc.; +Exposure with software development practices, object-oriented principles and test automation; +Exposure to version control systems such as Git – experience preferred +Experience with cloud-based analytics environments (Azure, AWS or GCP); +Experience applying operational research, statistical and machine learning techniques such as regression, time series forecasting, clustering, optimization, etc.; +Exposure to agile methodologies using project planning and tracking management tools e.g., JIRA; experience preferred +Strong problem-solving skills and ability to troubleshoot complex distributed systems; +Strong interpersonal skills, including the ability to communicate the business benefits of analytics; +Knowledge of commercial real estate preferred +Availability to travel up to 10% of the time +Hybrid schedule with a minimum three days in the office + + +Education / Training Required + + +Bachelor’s or Masters degree required with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) +Masters degree or Bachelors degree with 1+ year of experience in a data science/advanced analytics role. +Experience with Geospatial analytics preferred. + + +Why You Should Work Here + +At Couche-Tard/Circle K, we believe that our team members are the heart and soul of our business. When you join us, you're not just getting a job – you're becoming part of a vibrant community where your talents are valued, your growth is nurtured, and your contributions make a real difference. Here's why you'll love working with us: + +Benefits Package + + +Group Insurance Program: Stay healthy and happy! Our plan provides you with the flexibility to choose coverage that best meets your needs and add optional insurance (health and dental care, long-term disability, life insurance, health spending account) +Pension Plan: Plan for your future and retire with peace of mind with our pension plan, helping you build a secure financial future. +Share Purchase Plan: Invest in your future and share in our success with our employee stock purchase plan, allowing you to become a shareholder of Couche-Tard/Circle K. +Paid Time Off: Recharge and rejuvenate with paid time off, including vacation days, sick days, and personal days to help you maintain a healthy work-life balance. + + +Additional Perks + + +Employee Discounts: Enjoy exclusive discounts on our products and services, making it even easier to fuel up and stock up on your favorite goodies. +Training and Development: Grow your skills and advance your career with access to ongoing training and development opportunities, including workshops, seminars, and online courses. +Recognition and Rewards: We celebrate our team's achievements and milestones with a range of recognition programs, rewards, and incentives to show our appreciation for your hard work and dedication. +Mentorship Program: Take your career to new heights with our mentorship program, where seasoned professionals provide guidance, support, and valuable insights to help you reach your full potential. +Scholarship Program: Invest in your education and future success with our scholarship program, available not only to our employees but also to their children. We're committed to supporting your lifelong learning journey and empowering you to achieve your academic and career goals. + + +INTERESTED? You are only a few clicks away from joining an exceptional company! Visit our careers page at https://workwithus.circlek.com/ca/en to submit your application. We can't wait to hear from you! + +At Couche-Tard/Circle K, we're committed to fostering an inclusive and diverse workplace where everyone is treated with respect and dignity. We welcome individuals from all backgrounds and walks of life to join our team and contribute their unique perspectives and talents. + +We thank all candidates for their interest in this position. Please note that only selected candidates will be contacted for further steps in the hiring process. + +Circle K values diversity in the workplace and encourages applications from the following designated groups: women, aboriginal peoples, persons with disabilities and members of visible minorities. We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Accommodations are available on request in all aspects of the selection process. + + +Show more ","
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+ JOIN OUR TEAM!

At Couche-Tard/Circle K, our mission is simple: to make our customer’s lives a little easier everyday. You may have already stopped for coffee, refueling your car, or eating something on the go. Then, you know what Couche-Tard/Circle K is. We have grown into a successful global company with over 16,000 stores in 29 countries, serving almost 9 million customers every day. In total, more than 150,000 people work in our stores and offices. We make journeys easier by offering fast and friendly service. We care about our people and our communities, and we look for ways to uplift people first. Wherever your journey’s going, we can help you get there.   Are you ready to grow your career? Let's grow together!

Data Scientist – Real Estate

Department: Data Science

Location: Toronto, Ontario

Hybrid work: 3 days at the office and 2 days remotely

Type of employment: Permanent, Full Time (40 hours)

THE ROLE

As a member of the Enterprise Data & Analytics Team, the Data Scientist is an everyday partner with multiple departments, including Global Real Estate, Global Marketing, Category Management, Shared Services & Finance, Global Technology, and Business Unit Leadership. This is a unique opportunity to work on a new, growing team within a large organization.

The Data Scientist is responsible for delivering advanced analytics projects that drive business results. The ideal candidate should possess the ability to contribute to all aspects of project work, including interpreting business questions and desired outcomes, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables that are suitable for internal and external presentation.

We are looking for an individual who is a proven problem solver with exceptional critical thinking ability. The candidate should have a high sense of curiosity and be comfortable with ambiguity when faced with a difficult challenge. Additionally, the candidate should possess the abilities to collaborate with others and simply and effectively communicate complex concepts with a non-technical audience.

What You’ll Do

  • Develop advanced analytics and predictive models from design through implementation in the areas of real estate site selection forecasts and network optimization. Additional knowledge in areas including pricing and promotion, marketing, and merchandising would also be preferred
  • Participate in the research of analytical methods to find or advance solutions to business problems
  • Clearly and concisely explain complex analytical findings to non-analytical peers and business leaders
  • Create analytic datasets in collaboration with data engineering teams that involves data querying, cleaning, transformation, and feature engineering. Define requirements and test cases for Data validation and monitoring
  • Author programming code (e.g., SQL, Python, R, spark) to assemble and analyze data, following/establishing/enhancing organizational standards and coding practices including code management (i.e. Documentation, use ofGit Hub). Lead and participate in peer code reviews for QA/QC/standards compliance.
  • Train/Mentor other team members, provide developmental support where necessary
  • Follow defined project management processes. Actively participate in project plan development and agile ceremonies (development of backlog, sprint planning, daily standups, retros/reviews) and documentation.

What You’ll Need

We want you to join our team! Here's what we're looking for:

Knowledge, Skills And Other Qualifications Required

  • Demonstrated knowledge of SQL, R and Python;
  • Experience querying large datasets using SparkSQL or PySpark;
  • Experience querying geospatial data preferred
  • Experience with ML frameworks such as scikit-learn, Tensorflow, Keras, Pytorch, etc.;
  • Exposure with software development practices, object-oriented principles and test automation;
  • Exposure to version control systems such as Git – experience preferred
  • Experience with cloud-based analytics environments (Azure, AWS or GCP);
  • Experience applying operational research, statistical and machine learning techniques such as regression, time series forecasting, clustering, optimization, etc.;
  • Exposure to agile methodologies using project planning and tracking management tools e.g., JIRA; experience preferred
  • Strong problem-solving skills and ability to troubleshoot complex distributed systems;
  • Strong interpersonal skills, including the ability to communicate the business benefits of analytics;
  • Knowledge of commercial real estate preferred
  • Availability to travel up to 10% of the time
  • Hybrid schedule with a minimum three days in the office

Education / Training Required

  • Bachelor’s or Masters degree required with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)
  • Masters degree or Bachelors degree with 1+ year of experience in a data science/advanced analytics role.
  • Experience with Geospatial analytics preferred.

Why You Should Work Here

At Couche-Tard/Circle K, we believe that our team members are the heart and soul of our business. When you join us, you're not just getting a job – you're becoming part of a vibrant community where your talents are valued, your growth is nurtured, and your contributions make a real difference. Here's why you'll love working with us:

Benefits Package

  • Group Insurance Program: Stay healthy and happy! Our plan provides you with the flexibility to choose coverage that best meets your needs and add optional insurance (health and dental care, long-term disability, life insurance, health spending account)
  • Pension Plan: Plan for your future and retire with peace of mind with our pension plan, helping you build a secure financial future.
  • Share Purchase Plan: Invest in your future and share in our success with our employee stock purchase plan, allowing you to become a shareholder of Couche-Tard/Circle K.
  • Paid Time Off: Recharge and rejuvenate with paid time off, including vacation days, sick days, and personal days to help you maintain a healthy work-life balance.

Additional Perks

  • Employee Discounts: Enjoy exclusive discounts on our products and services, making it even easier to fuel up and stock up on your favorite goodies.
  • Training and Development: Grow your skills and advance your career with access to ongoing training and development opportunities, including workshops, seminars, and online courses.
  • Recognition and Rewards: We celebrate our team's achievements and milestones with a range of recognition programs, rewards, and incentives to show our appreciation for your hard work and dedication.
  • Mentorship Program: Take your career to new heights with our mentorship program, where seasoned professionals provide guidance, support, and valuable insights to help you reach your full potential.
  • Scholarship Program: Invest in your education and future success with our scholarship program, available not only to our employees but also to their children. We're committed to supporting your lifelong learning journey and empowering you to achieve your academic and career goals.

INTERESTED? You are only a few clicks away from joining an exceptional company! Visit our careers page at https://workwithus.circlek.com/ca/en to submit your application. We can't wait to hear from you!

At Couche-Tard/Circle K, we're committed to fostering an inclusive and diverse workplace where everyone is treated with respect and dignity. We welcome individuals from all backgrounds and walks of life to join our team and contribute their unique perspectives and talents.

We thank all candidates for their interest in this position. Please note that only selected candidates will be contacted for further steps in the hiring process.

Circle K values diversity in the workplace and encourages applications from the following designated groups: women, aboriginal peoples, persons with disabilities and members of visible minorities. We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Accommodations are available on request in all aspects of the selection process.

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+ +
",2024-12-03,[] +4096194473,https://www.linkedin.com/jobs/view/data-scientist-at-walmart-4096194473?position=6&pageNum=0&refId=LUUGJp5%2FlBgJB5H9BEbqgg%3D%3D&trackingId=JvQ%2BECUZY%2BzIplVzeUnQPw%3D%3D,Data Scientist,Walmart,"Sunnyvale, CA","About the Team: + +The eCommerce Analytics team partners with the eCommerce Product and Strategy teams to build product and experiences that enhance the experience for millions of customers. You’ll leverage data support and drive the work of teams who develop experiences that have changed the industry including the cart and checkout experience, account creation and sign-in flows, and other purchase-oriented digital experience. Innovating on the world’s biggest stage, you’ll get to deliver customer-centric solutions before they walk in the door, after they purchase, and every step in between. This is that place. This is Walmart. + + + + +As the biggest player in the game, we trust our associates to innovate the future of shopping. If you are motivated by complex, purposeful challenges, an analytics Manager, eCommerce Analytics role at Walmart could be the fit you’ve been looking for. + + + + +The role involves partnering very closely with multiple Product, Engineers, Design, and Business Partners to elevate the site experience across verticals on Walmart. + +What You'll Do: + +Partner with the Product Analytics Management, Product Managers, Business Strategy, Design, and Engineering teams to accurately track and analyze existing and new product initiatives +Leverage clickstream data to identify opportunities for improving customer experience and influence product roadmaps. Perform conversion analysis, funnel analysis, impact sizing to influence decision-making +Define and monitor KPIs to measure product performance and monitoring product health +Define the customer engagement data capture strategy and collaborate with engineering to ensure the accuracy of the data captured +Create effective reporting and dashboards by applying expertise in data visualization tools such as Tableau, Splunk to monitor product performance +Leverage extensive hands-on experience with SQL to query and process large amount of clickstream and transactions data from different databases such as BigQuery or Hive to identify opportunities +Use statistical power analysis and hypothesis testing to shape and drive the analytics strategy for the Product Management team +Design and execute A/B tests to identify and quantify the impact of new product feature as an ongoing discipline to constantly improve product features and provide better experiences for customers across all platforms (e.g., Desktop, Mobile, App) +Provide data driven insights and deliver recommendations that address opportunities for product improvements +Leverage advanced analytics solutions to identify product and business opportunities at scale using regression, clustering, classification, gradient boosting, etc. techniques + +What You'll Bring: + +Bachelor's degree in business, Computer Science, Statistics, Economics, Analytics, Mathematics, Information Technology or related field +3-5 years' experience in analytics +3+ years' experience with SQL +2+ years' experience with a data visualization tool (e.g. Tableau, Looker, PowerBI) +Strong communications skills + + + + +Preferred Qualifications: + +3+ years of experience working in mid-to-large scale analytics teams +Master’s degree in business, Computer Science, Statistics, Economics, Analytics, Mathematics, Information Technology or related field +Interest in growing into an analytics management role in the future +Related industry experience (for example: retail, merchandising, eCommerce, etc.) +Experience using Python or R for analytics and data management +Experience creating and automating data pipelines + + + + +Salary commensurate to experience and specialization, compensation is negotiable. + + + + +Are you open to relocating? Walmart offers a customizable relocation package to the Sunnyvale, CA area—a hub of technological innovation with a vibrant community, beautiful weather year-round, and a wealth of recreational and cultural amenities. Sunnyvale offers a dynamic work environment and a high quality of life in one of the most sought-after locations in Silicon Valley. + +Show more ","
+ + + + + +
+
+

About the Team:

The eCommerce Analytics team partners with the eCommerce Product and Strategy teams to build product and experiences that enhance the experience for millions of customers. You’ll leverage data support and drive the work of teams who develop experiences that have changed the industry including the cart and checkout experience, account creation and sign-in flows, and other purchase-oriented digital experience. Innovating on the world’s biggest stage, you’ll get to deliver customer-centric solutions before they walk in the door, after they purchase, and every step in between. This is that place. This is Walmart.


As the biggest player in the game, we trust our associates to innovate the future of shopping. If you are motivated by complex, purposeful challenges, an analytics Manager, eCommerce Analytics role at Walmart could be the fit you’ve been looking for.


The role involves partnering very closely with multiple Product, Engineers, Design, and Business Partners to elevate the site experience across verticals on Walmart.

What You'll Do:

  • Partner with the Product Analytics Management, Product Managers, Business Strategy, Design, and Engineering teams to accurately track and analyze existing and new product initiatives
  • Leverage clickstream data to identify opportunities for improving customer experience and influence product roadmaps. Perform conversion analysis, funnel analysis, impact sizing to influence decision-making
  • Define and monitor KPIs to measure product performance and monitoring product health
  • Define the customer engagement data capture strategy and collaborate with engineering to ensure the accuracy of the data captured
  • Create effective reporting and dashboards by applying expertise in data visualization tools such as Tableau, Splunk to monitor product performance
  • Leverage extensive hands-on experience with SQL to query and process large amount of clickstream and transactions data from different databases such as BigQuery or Hive to identify opportunities
  • Use statistical power analysis and hypothesis testing to shape and drive the analytics strategy for the Product Management team
  • Design and execute A/B tests to identify and quantify the impact of new product feature as an ongoing discipline to constantly improve product features and provide better experiences for customers across all platforms (e.g., Desktop, Mobile, App)
  • Provide data driven insights and deliver recommendations that address opportunities for product improvements
  • Leverage advanced analytics solutions to identify product and business opportunities at scale using regression, clustering, classification, gradient boosting, etc. techniques

What You'll Bring:

  • Bachelor's degree in business, Computer Science, Statistics, Economics, Analytics, Mathematics, Information Technology or related field
  • 3-5 years' experience in analytics
  • 3+ years' experience with SQL
  • 2+ years' experience with a data visualization tool (e.g. Tableau, Looker, PowerBI)
  • Strong communications skills


Preferred Qualifications:

  • 3+ years of experience working in mid-to-large scale analytics teams
  • Master’s degree in business, Computer Science, Statistics, Economics, Analytics, Mathematics, Information Technology or related field
  • Interest in growing into an analytics management role in the future
  • Related industry experience (for example: retail, merchandising, eCommerce, etc.)
  • Experience using Python or R for analytics and data management
  • Experience creating and automating data pipelines


Salary commensurate to experience and specialization, compensation is negotiable.


Are you open to relocating? Walmart offers a customizable relocation package to the Sunnyvale, CA area—a hub of technological innovation with a vibrant community, beautiful weather year-round, and a wealth of recreational and cultural amenities. Sunnyvale offers a dynamic work environment and a high quality of life in one of the most sought-after locations in Silicon Valley.

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+ +
",2024-12-10,[] +4100714552,https://www.linkedin.com/jobs/view/data-scientist-at-fractal-4100714552?position=14&pageNum=0&refId=LUUGJp5%2FlBgJB5H9BEbqgg%3D%3D&trackingId=%2BqJg0LnRzuqp5VwDVPCV2w%3D%3D,Data Scientist,Fractal,"Redwood City, CA","Data Scientist + +Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. + +Please visit Fractal | Intelligence for Imagination for more information about Fractal. + +***Please note that this role is specifically located in the San Francisco Bay Area and requires 100% onsite availability. If you are not local, we provide weekly travel or relocation.*** + +Role Overview + +As a Data Scientist specializing in Machine Learning at Fractal Analytics, you will play a pivotal role in shaping and driving our AI strategies. Your primary focus will be developing and implementing Machine Learning and statistical models that transform and elevate our client's business operations. + +Your responsibilities include: + +Collaborating with internal teams to understand complex business challenges and identify opportunities for AI-driven solutions. + +Designing, developing, evaluating, and deploying Machine Learning algorithms that turn data into actionable insights. + +Continuously research and stay abreast of the latest advancements in machine learning and AI to apply cutting-edge techniques in our solutions. + +Proactively working with large datasets, ensuring the integrity and effectiveness of data used in Machine Learning models. + +Engaging with clients to translate business needs into technical requirements and Machine Learning solutions. + +Leading initiatives to enhance our data analytics capabilities with a focus on predictive and prescriptive analytics through Machine Learning. + +Qualifications: + +Bachelor’s or master’s degree in computer science, Data Science, Statistics, Mathematics, or a related field with a strong emphasis on Machine Learning or Artificial Intelligence. + +Proficiency in Machine Learning algorithms and concepts such as linear regression analysis, anomaly detection, time series and forecasting, probabilistic models, supervised and unsupervised learning, neural networks, deep learning, etc. + +Experience with data modeling and evaluation strategies. + +OPP knowledge and strong programming skills in Python, especially libraries used in data science like TensorFlow, PyTorch, Keras, Scikit-learn, etc. + +Knowledge of data preprocessing, cleaning, and analysis techniques. + +Familiarity with big data technologies such as Hadoop, Spark, or similar platforms. + +At least 3-5 years of experience in a Machine Learning or data science role, with a proven track record of developing and deploying models that have driven business impact. + +Experience working with large and complex datasets. + +Prior exposure to cloud computing services like AWS, Azure, or Google Cloud Platform is advantageous. + +Pay: + +The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.A reasonable estimate of the current range is: 115,000 to 185,000. In addition, you may be eligible for a discretionary bonus for the current performance period. + +Benefits: + +As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. + +Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. + +Show more ","
+ + + + + +
+
+

Data Scientist

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

***Please note that this role is specifically located in the San Francisco Bay Area and requires 100% onsite availability. If you are not local, we provide weekly travel or relocation.***

Role Overview

As a Data Scientist specializing in Machine Learning at Fractal Analytics, you will play a pivotal role in shaping and driving our AI strategies. Your primary focus will be developing and implementing Machine Learning and statistical models that transform and elevate our client's business operations.

Your responsibilities include:

Collaborating with internal teams to understand complex business challenges and identify opportunities for AI-driven solutions.

Designing, developing, evaluating, and deploying Machine Learning algorithms that turn data into actionable insights.

Continuously research and stay abreast of the latest advancements in machine learning and AI to apply cutting-edge techniques in our solutions.

Proactively working with large datasets, ensuring the integrity and effectiveness of data used in Machine Learning models.

Engaging with clients to translate business needs into technical requirements and Machine Learning solutions.

Leading initiatives to enhance our data analytics capabilities with a focus on predictive and prescriptive analytics through Machine Learning.

Qualifications:

Bachelor’s or master’s degree in computer science, Data Science, Statistics, Mathematics, or a related field with a strong emphasis on Machine Learning or Artificial Intelligence.

Proficiency in Machine Learning algorithms and concepts such as linear regression analysis, anomaly detection, time series and forecasting, probabilistic models, supervised and unsupervised learning, neural networks, deep learning, etc.

Experience with data modeling and evaluation strategies.

OPP knowledge and strong programming skills in Python, especially libraries used in data science like TensorFlow, PyTorch, Keras, Scikit-learn, etc.

Knowledge of data preprocessing, cleaning, and analysis techniques.

Familiarity with big data technologies such as Hadoop, Spark, or similar platforms.

At least 3-5 years of experience in a Machine Learning or data science role, with a proven track record of developing and deploying models that have driven business impact.

Experience working with large and complex datasets.

Prior exposure to cloud computing services like AWS, Azure, or Google Cloud Platform is advantageous.

Pay:

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.A reasonable estimate of the current range is: 115,000 to 185,000. In addition, you may be eligible for a discretionary bonus for the current performance period.

Benefits:

As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-14,[] +4096271568,https://ca.linkedin.com/jobs/view/ai-ml-data-scientist-at-acuity-insights-4096271568?position=18&pageNum=0&refId=LUUGJp5%2FlBgJB5H9BEbqgg%3D%3D&trackingId=JA%2Byz9jL4kgYXYH6yFam0Q%3D%3D,AI/ML Data Scientist,Acuity Insights,"Toronto, Ontario, Canada","Drive AI innovation with Acuity Insights! + +Join our startup-to-scaleup journey as an AI/ML Data Scientist. In this fully remote role, working from anywhere in Canada, you'll be part of an interdisciplinary team innovating our flagship assessment platform, Casper, with AI. + +Working at the intersection of machine learning innovation and ethical AI in higher education, you'll work on complex, ambiguous problems, and lead the end-to-end design, build, and deployment of an AI-powered evaluation system. + +This role offers you, a machine learning professional with advanced proficiency in Python and deep knowledge of ML libraries, the chance to work without a predefined playbook and grow your career with a people-focused company that values work-life balance, invests in learning, and creates products with real-world impact on education, admissions, and social equity. + +The Future We're Building + +Imagine a world powered by everyone's full potential. + +That's what we're building at Acuity Insights. + +Our company was founded on the need for a higher education admissions method that looks beyond academic performance and considers the whole student—their unique qualities, experiences, and strengths. + +Today, our solutions help discover, nurture and realize people's potential, supporting holistic success from admissions to graduation for students, education programs, and higher education institutions across North America, the U.K., Australia, and the Gulf. + +Our core assessment product, Casper, provides education programs with a more holistic view of applicants by evaluating their soft skills. Incorporating Casper's insights into the admissions process results in a larger applicant pool, enables student success, and graduates better professionals. Since 2014, Casper has been adopted by over 600 higher education programs, and more than 1 million applicants have registered to take the test. + +With our core education program management solution, One45, we help medical schools and other health professions programs optimize the complex processes and critical components of their curriculum and student assessments to generate data-informed insights needed to graduate competent future healthcare professionals. + +With our fast-growing data and insights solution, Analytics, we leverage critical integrations with our data warehouse and powerful dashboards to provide medical schools with deep insights and intelligence on student and program performance, powering real-time decision-making and continuous quality improvement. + +Role & Opportunity Overview + +As an AI/ML Data Scientist, you will join our Research team, which includes experts from the humanities, social sciences, and hard sciences. Research underpins our company's mission and provides data-driven, ethical insights. The team has been at the forefront of developing assessment methodologies that move beyond traditional metrics and ensure our products' scientific integrity and reliability. + +In this role, you'll report to Jill Derby, our Senior Research Manager, and partner closely with Cole Walsh, our Research Scientist, on your initial project. You'll also collaborate closely with key team members from Rating, Content and New Product Development, as well as with product directors, product marketing managers, and design and engineering teams. + +In your first 12 months, you get to lead the development of our first AI-powered evaluation system for the Casper platform, leveraging machine learning to transform how we assess applicants. You'll oversee the entire process, from data collection and validation to model training, implementation, and monitoring, while addressing challenges like aligning with human rater standards and ensuring demographic fairness. + +Your work will drive significant business impact, including market scalability, operational efficiency, and an improved applicant experience. Over time, you'll expand to other market verticals, optimize product offerings, and lead responsible AI innovations to tackle key growth challenges. + +As our AI/ML Data Scientist, you'll also help build a world-class AI and machine learning practice, define processes, tackle uncharted problems, and shape how AI/ML capabilities are embedded within Acuity Insights. Drawing from your expertise, you'll lead transformative AI projects, set performance benchmarks, and embed fairness and explainability at every stage. Your work will deliver scalable, impactful solutions that align with our ethical standards and foster trust across diverse partners. + +As an AI/ML Data Scientist, your key areas of day-to-day contribution are: + +Collaboration & Communication + + +Drive cross-functional alignment: Collaborate with Product, Engineering, and other Research team members to ensure AI initiatives align with strategic goals and technical requirements +Champion explainability: Clearly communicate complex AI processes and outcomes to technical and non-technical audiences, fostering transparency and trust +Lead ethical discussions: Actively participate in discussions about ethical considerations and fairness in AI to guide responsible decision-making +Feedback and iteration: Partner with team members to gather insights and refine AI models based on ongoing collaboration and testing + + + +Data Science & Machine Learning + + +Design and train models: Lead the design, training, and optimization of machine learning models for evaluating responses in Casper assessments +Analyze and validate: Analyze large datasets, evaluate model performance against benchmarks, and ensure alignment with human rater standards +Ensure fairness and ethics: Develop processes to identify and mitigate bias, ensuring models are fair, explainable, and meet ethical standards +Incorporate best practices: Stay current with industry advancements, incorporating the latest techniques and frameworks to improve model accuracy and scalability + + + +Execution & Delivery + + +Own model development: Oversee the full lifecycle of AI model development, from data preprocessing and feature engineering to deployment and monitoring +Optimize and refine: Continuously monitor AI systems in production, refining models to maintain accuracy and reliability +Drive Impact: Deliver scalable, cost-effective AI solutions and enhance the accessibility of assessments +Measure success: Establish and track key metrics to assess AI model performance, fairness, and impact on business objectives + + +Experiences & Skills You Bring + + +Machine Learning Expertise: You have worked in machine learning and data science or related roles or initiatives in which you've trained, retrained, and monitored ML systems. While not required, formal education or study in Statistics, Computer Science, or related fields can enhance your ability to understand complex concepts and effectively communicate with internal teams and external partners in a scholarly context and academic environment. +Technical Proficiency: Advanced Python skills are essential, as it will be your primary programming language. Familiarity with SQL, R, and ML libraries (e.g., Scikit-learn, PyTorch) is highly valued. Experience with LLMs like OpenAI or Hugging Face is especially useful, as they will play a key role in extracting insights that support fair and meaningful scoring algorithms +Data Engineering and Modeling: You understand data structures, have constructed and optimized data pipelines, and applied data modelling techniques. Familiarity with software architecture, though not required, can strengthen your collaboration with the engineering team and help integrate the AI model into internal applications +Analytical Depth: Solid foundation in probability, statistics, algorithms, and benchmark-driven approaches to evaluate AI quality, accuracy, and fairness +Focus on Ethics and Fairness: You naturally prioritize fairness and ethical AI development, take ownership of ethical and fairness considerations, and apply reflective thinking and empathy to create accurate, equitable and just models that are explainable and transparent. +Collaborative Mindset: You bring high emotional intelligence and a passion for working collaboratively and cross-functionally to harness diverse expertise, leverage multiple perspectives to solve complex problems and explore more robust and innovative solutions and align with organizational goals. +Innovation and Problem-Solving: You have a history of tackling complex, undefined problems and thrive in ambiguous and uncharted territories, exploring innovative solutions to technical challenges +Communication & Storytelling: You have a knack for effectively translating complex AI models and insights into clear, compelling and data-informed narratives for technical and non-technical audiences that instill trust and confidence and help drive alignment. +Passion for Learning & Growth: A natural curiosity and eagerness to explore new ideas drive your commitment to innovation and problem-solving. You embrace challenges with humility, seeking feedback, learning from setbacks, and staying current with AI and machine learning advancements. + + +Selection Process + +We review every application. We consider all your professional experiences and how you have applied your skills and knowledge to add value and make an impact. We also look for evidence that you are naturally caring, curious, driven, and can be resilient in rapidly changing environments. + +To ensure a fair process, you will receive equal consideration whether you apply, get introduced as a referral, or directly contact the manager or recruiter for this role. + +Applicants who do not live in Canada or have a work permit will automatically be disqualified. + +Interview Process + +We have designed our interview process to be a two-way discovery and create space for meaningful conversations. + +We want to get to know you personally and professionally, understand your career journey and experiences, relevant skills and abilities, professional interests and priorities, and assess your alignment with our business needs and what we can offer you. + +We also want you to have the information you need to make an informed decision about this opportunity. That's why we encourage you to stay curious and ask questions every step of the way. + +Here's an overview of the process: + + +Application Review: A human reviews your application to assess potential and fit +Recruiter Conversation: A 60-90 minute call to share your professional journey, career interests and priorities and learn about the company, culture, and team +Asynchronous Project: Complete a brief take-home project to showcase your technical and problem-solving skills +Manager & Peer Conversations: Meet your potential manager and a technical peer 1-on-1. Discuss your project, work experience, and technical abilities while exploring the team's day-to-day +Team Conversations: Meet other future team members, including leaders, peers, and collaborators, to assess team alignment and learn more about life at Acuity Insights +Decision: The Hiring Manager consolidates feedback and makes a decision, typically within 2-4 days +Offer & Reference Check: If we have found a mutual match, we'll invite you to an offer conversation. The offer is contingent on completing reference checks + + +Compensation + +Several factors will inform our offer: your unique qualifications, experience, expected contributions and salary needs, market data, budget, and internal pay equity. + +The target annual compensation for this role is $115,000 to $140,000. While this range does not represent the full Individual Contributor salary band, it reflects the budget allocated to fill the position. + +Benefits From Day 1 + + +Flexible and remote work. Have the freedom to work from anywhere within Canada and work from abroad for up to 6 weeks per year, and configure your schedule and work hours to best suit you. +Prioritize rest and time off. Join the team in our two-week year-end company closure, enjoy flexible, self-directed vacation (most take 4-6 weeks annually), and enjoy an extra Friday off each month from February to November +Invest in your growth. Access a $3,000 yearly learning budget to support your professional and personal development. +Stake in the company. Become a partial owner of Acuity Insights when you join, sharing in long-term value creation and financial success through our employee stock option plan +Save for retirement. Join our GRSP matching program through Wealthsimple. We match contributions up to 2% of your salary. +Support for health & wellness. Access comprehensive health benefits for yourself and your dependents through Equitable Life of Canada and Nivati to nurture and enhance your holistic health and well-being. +Grow your family. Take parental leave, regardless of your role in expanding your family, and receive a top-up for 16 weeks beyond EI benefits + + +Life & People at Acuity Insights + +At Acuity Insights, you'll be part of a community of over 125 professionals, mostly based in Canada. While we primarily collaborate remotely, our team members connect socially and occasionally co-work in person in our larger people pockets, too. + +Human Qualities That Help People Thrive at Acuity + +Our team is built on a set of shared values: caring, curious, and driven. We value people who show empathy, listen actively, and act with integrity. We want our team members to be naturally curious and open to exploring new ideas and viewpoints, bringing urgency and creativity to problem-solving. Our team thrives on continuous improvement, resilience in the face of changes around us, and self-awareness. Above all, we believe in purposeful work that aligns with our shared values and makes the world a better place. + +Our Commitment to Inclusion and Belonging + +We strive to be a workplace where every person feels respected, valued, and fully supported. Our environment and supporting policies are designed to foster a culture of belonging, equity, and work-life balance. We embrace each team member's unique strengths and lived experiences, recognizing that diversity enriches our environment and drives our success. + +We encourage applicants from non-traditional backgrounds or historically marginalized and underrepresented groups to join us. + +Thanks for considering Acuity Insights as your next employer! + +PS: We're Taking a Winter Pause! + +At Acuity Insights, we value breaks to rest and recharge. That is why hiring activities are on hold now and throughout our Winter Holiday Shutdown from December 21, 2024, to January 5, 2025. + +We are committed to reviewing your application and following up with any potential next steps after we return on January 6. + +It might also help to know that our interview process typically takes 3-4 weeks from an initial conversation to a potential offer. Hang tight - and thank you for your patience! +Show more ","
+ + + + + +
+
+ Drive AI innovation with Acuity Insights!

Join our startup-to-scaleup journey as an AI/ML Data Scientist. In this fully remote role, working from anywhere in Canada, you'll be part of an interdisciplinary team innovating our flagship assessment platform, Casper, with AI.

Working at the intersection of machine learning innovation and ethical AI in higher education, you'll work on complex, ambiguous problems, and lead the end-to-end design, build, and deployment of an AI-powered evaluation system.

This role offers you, a machine learning professional with advanced proficiency in Python and deep knowledge of ML libraries, the chance to work without a predefined playbook and grow your career with a people-focused company that values work-life balance, invests in learning, and creates products with real-world impact on education, admissions, and social equity.

The Future We're Building

Imagine a world powered by everyone's full potential.

That's what we're building at Acuity Insights.

Our company was founded on the need for a higher education admissions method that looks beyond academic performance and considers the whole student—their unique qualities, experiences, and strengths.

Today, our solutions help discover, nurture and realize people's potential, supporting holistic success from admissions to graduation for students, education programs, and higher education institutions across North America, the U.K., Australia, and the Gulf.

Our core assessment product, Casper, provides education programs with a more holistic view of applicants by evaluating their soft skills. Incorporating Casper's insights into the admissions process results in a larger applicant pool, enables student success, and graduates better professionals. Since 2014, Casper has been adopted by over 600 higher education programs, and more than 1 million applicants have registered to take the test.

With our core education program management solution, One45, we help medical schools and other health professions programs optimize the complex processes and critical components of their curriculum and student assessments to generate data-informed insights needed to graduate competent future healthcare professionals.

With our fast-growing data and insights solution, Analytics, we leverage critical integrations with our data warehouse and powerful dashboards to provide medical schools with deep insights and intelligence on student and program performance, powering real-time decision-making and continuous quality improvement.

Role & Opportunity Overview

As an AI/ML Data Scientist, you will join our Research team, which includes experts from the humanities, social sciences, and hard sciences. Research underpins our company's mission and provides data-driven, ethical insights. The team has been at the forefront of developing assessment methodologies that move beyond traditional metrics and ensure our products' scientific integrity and reliability.

In this role, you'll report to Jill Derby, our Senior Research Manager, and partner closely with Cole Walsh, our Research Scientist, on your initial project. You'll also collaborate closely with key team members from Rating, Content and New Product Development, as well as with product directors, product marketing managers, and design and engineering teams.

In your first 12 months, you get to lead the development of our first AI-powered evaluation system for the Casper platform, leveraging machine learning to transform how we assess applicants. You'll oversee the entire process, from data collection and validation to model training, implementation, and monitoring, while addressing challenges like aligning with human rater standards and ensuring demographic fairness.

Your work will drive significant business impact, including market scalability, operational efficiency, and an improved applicant experience. Over time, you'll expand to other market verticals, optimize product offerings, and lead responsible AI innovations to tackle key growth challenges.

As our AI/ML Data Scientist, you'll also help build a world-class AI and machine learning practice, define processes, tackle uncharted problems, and shape how AI/ML capabilities are embedded within Acuity Insights. Drawing from your expertise, you'll lead transformative AI projects, set performance benchmarks, and embed fairness and explainability at every stage. Your work will deliver scalable, impactful solutions that align with our ethical standards and foster trust across diverse partners.

As an AI/ML Data Scientist, your key areas of day-to-day contribution are:

Collaboration & Communication

  • Drive cross-functional alignment: Collaborate with Product, Engineering, and other Research team members to ensure AI initiatives align with strategic goals and technical requirements
  • Champion explainability: Clearly communicate complex AI processes and outcomes to technical and non-technical audiences, fostering transparency and trust
  • Lead ethical discussions: Actively participate in discussions about ethical considerations and fairness in AI to guide responsible decision-making
  • Feedback and iteration: Partner with team members to gather insights and refine AI models based on ongoing collaboration and testing


Data Science & Machine Learning

  • Design and train models: Lead the design, training, and optimization of machine learning models for evaluating responses in Casper assessments
  • Analyze and validate: Analyze large datasets, evaluate model performance against benchmarks, and ensure alignment with human rater standards
  • Ensure fairness and ethics: Develop processes to identify and mitigate bias, ensuring models are fair, explainable, and meet ethical standards
  • Incorporate best practices: Stay current with industry advancements, incorporating the latest techniques and frameworks to improve model accuracy and scalability


Execution & Delivery

  • Own model development: Oversee the full lifecycle of AI model development, from data preprocessing and feature engineering to deployment and monitoring
  • Optimize and refine: Continuously monitor AI systems in production, refining models to maintain accuracy and reliability
  • Drive Impact: Deliver scalable, cost-effective AI solutions and enhance the accessibility of assessments
  • Measure success: Establish and track key metrics to assess AI model performance, fairness, and impact on business objectives

Experiences & Skills You Bring

  • Machine Learning Expertise: You have worked in machine learning and data science or related roles or initiatives in which you've trained, retrained, and monitored ML systems. While not required, formal education or study in Statistics, Computer Science, or related fields can enhance your ability to understand complex concepts and effectively communicate with internal teams and external partners in a scholarly context and academic environment.
  • Technical Proficiency: Advanced Python skills are essential, as it will be your primary programming language. Familiarity with SQL, R, and ML libraries (e.g., Scikit-learn, PyTorch) is highly valued. Experience with LLMs like OpenAI or Hugging Face is especially useful, as they will play a key role in extracting insights that support fair and meaningful scoring algorithms
  • Data Engineering and Modeling: You understand data structures, have constructed and optimized data pipelines, and applied data modelling techniques. Familiarity with software architecture, though not required, can strengthen your collaboration with the engineering team and help integrate the AI model into internal applications
  • Analytical Depth: Solid foundation in probability, statistics, algorithms, and benchmark-driven approaches to evaluate AI quality, accuracy, and fairness
  • Focus on Ethics and Fairness: You naturally prioritize fairness and ethical AI development, take ownership of ethical and fairness considerations, and apply reflective thinking and empathy to create accurate, equitable and just models that are explainable and transparent.
  • Collaborative Mindset: You bring high emotional intelligence and a passion for working collaboratively and cross-functionally to harness diverse expertise, leverage multiple perspectives to solve complex problems and explore more robust and innovative solutions and align with organizational goals.
  • Innovation and Problem-Solving: You have a history of tackling complex, undefined problems and thrive in ambiguous and uncharted territories, exploring innovative solutions to technical challenges
  • Communication & Storytelling: You have a knack for effectively translating complex AI models and insights into clear, compelling and data-informed narratives for technical and non-technical audiences that instill trust and confidence and help drive alignment.
  • Passion for Learning & Growth: A natural curiosity and eagerness to explore new ideas drive your commitment to innovation and problem-solving. You embrace challenges with humility, seeking feedback, learning from setbacks, and staying current with AI and machine learning advancements.

Selection Process

We review every application. We consider all your professional experiences and how you have applied your skills and knowledge to add value and make an impact. We also look for evidence that you are naturally caring, curious, driven, and can be resilient in rapidly changing environments.

To ensure a fair process, you will receive equal consideration whether you apply, get introduced as a referral, or directly contact the manager or recruiter for this role.

Applicants who do not live in Canada or have a work permit will automatically be disqualified.

Interview Process

We have designed our interview process to be a two-way discovery and create space for meaningful conversations.

We want to get to know you personally and professionally, understand your career journey and experiences, relevant skills and abilities, professional interests and priorities, and assess your alignment with our business needs and what we can offer you.

We also want you to have the information you need to make an informed decision about this opportunity. That's why we encourage you to stay curious and ask questions every step of the way.

Here's an overview of the process:

  • Application Review: A human reviews your application to assess potential and fit
  • Recruiter Conversation: A 60-90 minute call to share your professional journey, career interests and priorities and learn about the company, culture, and team
  • Asynchronous Project: Complete a brief take-home project to showcase your technical and problem-solving skills
  • Manager & Peer Conversations: Meet your potential manager and a technical peer 1-on-1. Discuss your project, work experience, and technical abilities while exploring the team's day-to-day
  • Team Conversations: Meet other future team members, including leaders, peers, and collaborators, to assess team alignment and learn more about life at Acuity Insights
  • Decision: The Hiring Manager consolidates feedback and makes a decision, typically within 2-4 days
  • Offer & Reference Check: If we have found a mutual match, we'll invite you to an offer conversation. The offer is contingent on completing reference checks

Compensation

Several factors will inform our offer: your unique qualifications, experience, expected contributions and salary needs, market data, budget, and internal pay equity.

The target annual compensation for this role is $115,000 to $140,000. While this range does not represent the full Individual Contributor salary band, it reflects the budget allocated to fill the position.

Benefits From Day 1

  • Flexible and remote work. Have the freedom to work from anywhere within Canada and work from abroad for up to 6 weeks per year, and configure your schedule and work hours to best suit you.
  • Prioritize rest and time off. Join the team in our two-week year-end company closure, enjoy flexible, self-directed vacation (most take 4-6 weeks annually), and enjoy an extra Friday off each month from February to November
  • Invest in your growth. Access a $3,000 yearly learning budget to support your professional and personal development.
  • Stake in the company. Become a partial owner of Acuity Insights when you join, sharing in long-term value creation and financial success through our employee stock option plan
  • Save for retirement. Join our GRSP matching program through Wealthsimple. We match contributions up to 2% of your salary.
  • Support for health & wellness. Access comprehensive health benefits for yourself and your dependents through Equitable Life of Canada and Nivati to nurture and enhance your holistic health and well-being.
  • Grow your family. Take parental leave, regardless of your role in expanding your family, and receive a top-up for 16 weeks beyond EI benefits

Life & People at Acuity Insights

At Acuity Insights, you'll be part of a community of over 125 professionals, mostly based in Canada. While we primarily collaborate remotely, our team members connect socially and occasionally co-work in person in our larger people pockets, too.

Human Qualities That Help People Thrive at Acuity

Our team is built on a set of shared values: caring, curious, and driven. We value people who show empathy, listen actively, and act with integrity. We want our team members to be naturally curious and open to exploring new ideas and viewpoints, bringing urgency and creativity to problem-solving. Our team thrives on continuous improvement, resilience in the face of changes around us, and self-awareness. Above all, we believe in purposeful work that aligns with our shared values and makes the world a better place.

Our Commitment to Inclusion and Belonging

We strive to be a workplace where every person feels respected, valued, and fully supported. Our environment and supporting policies are designed to foster a culture of belonging, equity, and work-life balance. We embrace each team member's unique strengths and lived experiences, recognizing that diversity enriches our environment and drives our success.

We encourage applicants from non-traditional backgrounds or historically marginalized and underrepresented groups to join us.

Thanks for considering Acuity Insights as your next employer!

PS: We're Taking a Winter Pause!

At Acuity Insights, we value breaks to rest and recharge. That is why hiring activities are on hold now and throughout our Winter Holiday Shutdown from December 21, 2024, to January 5, 2025.

We are committed to reviewing your application and following up with any potential next steps after we return on January 6.

It might also help to know that our interview process typically takes 3-4 weeks from an initial conversation to a potential offer. Hang tight - and thank you for your patience! +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-13,[] +4096272407,https://ca.linkedin.com/jobs/view/ai-ml-data-scientist-at-acuity-insights-4096272407?position=20&pageNum=0&refId=LUUGJp5%2FlBgJB5H9BEbqgg%3D%3D&trackingId=SADai7uQ2%2Fz%2BNLnJUTuV6Q%3D%3D,AI/ML Data Scientist,Acuity Insights,"Vancouver, British Columbia, Canada","Drive AI innovation with Acuity Insights! + +Join our startup-to-scaleup journey as an AI/ML Data Scientist. In this fully remote role, working from anywhere in Canada, you'll be part of an interdisciplinary team innovating our flagship assessment platform, Casper, with AI. + +Working at the intersection of machine learning innovation and ethical AI in higher education, you'll work on complex, ambiguous problems, and lead the end-to-end design, build, and deployment of an AI-powered evaluation system. + +This role offers you, a machine learning professional with advanced proficiency in Python and deep knowledge of ML libraries, the chance to work without a predefined playbook and grow your career with a people-focused company that values work-life balance, invests in learning, and creates products with real-world impact on education, admissions, and social equity. + +The Future We're Building + +Imagine a world powered by everyone's full potential. + +That's what we're building at Acuity Insights. + +Our company was founded on the need for a higher education admissions method that looks beyond academic performance and considers the whole student—their unique qualities, experiences, and strengths. + +Today, our solutions help discover, nurture and realize people's potential, supporting holistic success from admissions to graduation for students, education programs, and higher education institutions across North America, the U.K., Australia, and the Gulf. + +Our core assessment product, Casper, provides education programs with a more holistic view of applicants by evaluating their soft skills. Incorporating Casper's insights into the admissions process results in a larger applicant pool, enables student success, and graduates better professionals. Since 2014, Casper has been adopted by over 600 higher education programs, and more than 1 million applicants have registered to take the test. + +With our core education program management solution, One45, we help medical schools and other health professions programs optimize the complex processes and critical components of their curriculum and student assessments to generate data-informed insights needed to graduate competent future healthcare professionals. + +With our fast-growing data and insights solution, Analytics, we leverage critical integrations with our data warehouse and powerful dashboards to provide medical schools with deep insights and intelligence on student and program performance, powering real-time decision-making and continuous quality improvement. + +Role & Opportunity Overview + +As an AI/ML Data Scientist, you will join our Research team, which includes experts from the humanities, social sciences, and hard sciences. Research underpins our company's mission and provides data-driven, ethical insights. The team has been at the forefront of developing assessment methodologies that move beyond traditional metrics and ensure our products' scientific integrity and reliability. + +In this role, you'll report to Jill Derby, our Senior Research Manager, and partner closely with Cole Walsh, our Research Scientist, on your initial project. You'll also collaborate closely with key team members from Rating, Content and New Product Development, as well as with product directors, product marketing managers, and design and engineering teams. + +In your first 12 months, you get to lead the development of our first AI-powered evaluation system for the Casper platform, leveraging machine learning to transform how we assess applicants. You'll oversee the entire process, from data collection and validation to model training, implementation, and monitoring, while addressing challenges like aligning with human rater standards and ensuring demographic fairness. + +Your work will drive significant business impact, including market scalability, operational efficiency, and an improved applicant experience. Over time, you'll expand to other market verticals, optimize product offerings, and lead responsible AI innovations to tackle key growth challenges. + +As our AI/ML Data Scientist, you'll also help build a world-class AI and machine learning practice, define processes, tackle uncharted problems, and shape how AI/ML capabilities are embedded within Acuity Insights. Drawing from your expertise, you'll lead transformative AI projects, set performance benchmarks, and embed fairness and explainability at every stage. Your work will deliver scalable, impactful solutions that align with our ethical standards and foster trust across diverse partners. + +As an AI/ML Data Scientist, your key areas of day-to-day contribution are: + +Collaboration & Communication + + +Drive cross-functional alignment: Collaborate with Product, Engineering, and other Research team members to ensure AI initiatives align with strategic goals and technical requirements +Champion explainability: Clearly communicate complex AI processes and outcomes to technical and non-technical audiences, fostering transparency and trust +Lead ethical discussions: Actively participate in discussions about ethical considerations and fairness in AI to guide responsible decision-making +Feedback and iteration: Partner with team members to gather insights and refine AI models based on ongoing collaboration and testing + + + +Data Science & Machine Learning + + +Design and train models: Lead the design, training, and optimization of machine learning models for evaluating responses in Casper assessments +Analyze and validate: Analyze large datasets, evaluate model performance against benchmarks, and ensure alignment with human rater standards +Ensure fairness and ethics: Develop processes to identify and mitigate bias, ensuring models are fair, explainable, and meet ethical standards +Incorporate best practices: Stay current with industry advancements, incorporating the latest techniques and frameworks to improve model accuracy and scalability + + + +Execution & Delivery + + +Own model development: Oversee the full lifecycle of AI model development, from data preprocessing and feature engineering to deployment and monitoring +Optimize and refine: Continuously monitor AI systems in production, refining models to maintain accuracy and reliability +Drive Impact: Deliver scalable, cost-effective AI solutions and enhance the accessibility of assessments +Measure success: Establish and track key metrics to assess AI model performance, fairness, and impact on business objectives + + +Experiences & Skills You Bring + + +Machine Learning Expertise: You have worked in machine learning and data science or related roles or initiatives in which you've trained, retrained, and monitored ML systems. While not required, formal education or study in Statistics, Computer Science, or related fields can enhance your ability to understand complex concepts and effectively communicate with internal teams and external partners in a scholarly context and academic environment. +Technical Proficiency: Advanced Python skills are essential, as it will be your primary programming language. Familiarity with SQL, R, and ML libraries (e.g., Scikit-learn, PyTorch) is highly valued. Experience with LLMs like OpenAI or Hugging Face is especially useful, as they will play a key role in extracting insights that support fair and meaningful scoring algorithms +Data Engineering and Modeling: You understand data structures, have constructed and optimized data pipelines, and applied data modelling techniques. Familiarity with software architecture, though not required, can strengthen your collaboration with the engineering team and help integrate the AI model into internal applications +Analytical Depth: Solid foundation in probability, statistics, algorithms, and benchmark-driven approaches to evaluate AI quality, accuracy, and fairness +Focus on Ethics and Fairness: You naturally prioritize fairness and ethical AI development, take ownership of ethical and fairness considerations, and apply reflective thinking and empathy to create accurate, equitable and just models that are explainable and transparent. +Collaborative Mindset: You bring high emotional intelligence and a passion for working collaboratively and cross-functionally to harness diverse expertise, leverage multiple perspectives to solve complex problems and explore more robust and innovative solutions and align with organizational goals. +Innovation and Problem-Solving: You have a history of tackling complex, undefined problems and thrive in ambiguous and uncharted territories, exploring innovative solutions to technical challenges +Communication & Storytelling: You have a knack for effectively translating complex AI models and insights into clear, compelling and data-informed narratives for technical and non-technical audiences that instill trust and confidence and help drive alignment. +Passion for Learning & Growth: A natural curiosity and eagerness to explore new ideas drive your commitment to innovation and problem-solving. You embrace challenges with humility, seeking feedback, learning from setbacks, and staying current with AI and machine learning advancements. + + +Selection Process + +We review every application. We consider all your professional experiences and how you have applied your skills and knowledge to add value and make an impact. We also look for evidence that you are naturally caring, curious, driven, and can be resilient in rapidly changing environments. + +To ensure a fair process, you will receive equal consideration whether you apply, get introduced as a referral, or directly contact the manager or recruiter for this role. + +Applicants who do not live in Canada or have a work permit will automatically be disqualified. + +Interview Process + +We have designed our interview process to be a two-way discovery and create space for meaningful conversations. + +We want to get to know you personally and professionally, understand your career journey and experiences, relevant skills and abilities, professional interests and priorities, and assess your alignment with our business needs and what we can offer you. + +We also want you to have the information you need to make an informed decision about this opportunity. That's why we encourage you to stay curious and ask questions every step of the way. + +Here's an overview of the process: + + +Application Review: A human reviews your application to assess potential and fit +Recruiter Conversation: A 60-90 minute call to share your professional journey, career interests and priorities and learn about the company, culture, and team +Asynchronous Project: Complete a brief take-home project to showcase your technical and problem-solving skills +Manager & Peer Conversations: Meet your potential manager and a technical peer 1-on-1. Discuss your project, work experience, and technical abilities while exploring the team's day-to-day +Team Conversations: Meet other future team members, including leaders, peers, and collaborators, to assess team alignment and learn more about life at Acuity Insights +Decision: The Hiring Manager consolidates feedback and makes a decision, typically within 2-4 days +Offer & Reference Check: If we have found a mutual match, we'll invite you to an offer conversation. The offer is contingent on completing reference checks + + +Compensation + +Several factors will inform our offer: your unique qualifications, experience, expected contributions and salary needs, market data, budget, and internal pay equity. + +The target annual compensation for this role is $115,000 to $140,000. While this range does not represent the full Individual Contributor salary band, it reflects the budget allocated to fill the position. + +Benefits From Day 1 + + +Flexible and remote work. Have the freedom to work from anywhere within Canada and work from abroad for up to 6 weeks per year, and configure your schedule and work hours to best suit you. +Prioritize rest and time off. Join the team in our two-week year-end company closure, enjoy flexible, self-directed vacation (most take 4-6 weeks annually), and enjoy an extra Friday off each month from February to November +Invest in your growth. Access a $3,000 yearly learning budget to support your professional and personal development. +Stake in the company. Become a partial owner of Acuity Insights when you join, sharing in long-term value creation and financial success through our employee stock option plan +Save for retirement. Join our GRSP matching program through Wealthsimple. We match contributions up to 2% of your salary. +Support for health & wellness. Access comprehensive health benefits for yourself and your dependents through Equitable Life of Canada and Nivati to nurture and enhance your holistic health and well-being. +Grow your family. Take parental leave, regardless of your role in expanding your family, and receive a top-up for 16 weeks beyond EI benefits + + +Life & People at Acuity Insights + +At Acuity Insights, you'll be part of a community of over 125 professionals, mostly based in Canada. While we primarily collaborate remotely, our team members connect socially and occasionally co-work in person in our larger people pockets, too. + +Human Qualities That Help People Thrive at Acuity + +Our team is built on a set of shared values: caring, curious, and driven. We value people who show empathy, listen actively, and act with integrity. We want our team members to be naturally curious and open to exploring new ideas and viewpoints, bringing urgency and creativity to problem-solving. Our team thrives on continuous improvement, resilience in the face of changes around us, and self-awareness. Above all, we believe in purposeful work that aligns with our shared values and makes the world a better place. + +Our Commitment to Inclusion and Belonging + +We strive to be a workplace where every person feels respected, valued, and fully supported. Our environment and supporting policies are designed to foster a culture of belonging, equity, and work-life balance. We embrace each team member's unique strengths and lived experiences, recognizing that diversity enriches our environment and drives our success. + +We encourage applicants from non-traditional backgrounds or historically marginalized and underrepresented groups to join us. + +Thanks for considering Acuity Insights as your next employer! + +PS: We're Taking a Winter Pause! + +At Acuity Insights, we value breaks to rest and recharge. That is why hiring activities are on hold now and throughout our Winter Holiday Shutdown from December 21, 2024, to January 5, 2025. + +We are committed to reviewing your application and following up with any potential next steps after we return on January 6. + +It might also help to know that our interview process typically takes 3-4 weeks from an initial conversation to a potential offer. Hang tight - and thank you for your patience! +Show more ","
+ + + + + +
+
+ Drive AI innovation with Acuity Insights!

Join our startup-to-scaleup journey as an AI/ML Data Scientist. In this fully remote role, working from anywhere in Canada, you'll be part of an interdisciplinary team innovating our flagship assessment platform, Casper, with AI.

Working at the intersection of machine learning innovation and ethical AI in higher education, you'll work on complex, ambiguous problems, and lead the end-to-end design, build, and deployment of an AI-powered evaluation system.

This role offers you, a machine learning professional with advanced proficiency in Python and deep knowledge of ML libraries, the chance to work without a predefined playbook and grow your career with a people-focused company that values work-life balance, invests in learning, and creates products with real-world impact on education, admissions, and social equity.

The Future We're Building

Imagine a world powered by everyone's full potential.

That's what we're building at Acuity Insights.

Our company was founded on the need for a higher education admissions method that looks beyond academic performance and considers the whole student—their unique qualities, experiences, and strengths.

Today, our solutions help discover, nurture and realize people's potential, supporting holistic success from admissions to graduation for students, education programs, and higher education institutions across North America, the U.K., Australia, and the Gulf.

Our core assessment product, Casper, provides education programs with a more holistic view of applicants by evaluating their soft skills. Incorporating Casper's insights into the admissions process results in a larger applicant pool, enables student success, and graduates better professionals. Since 2014, Casper has been adopted by over 600 higher education programs, and more than 1 million applicants have registered to take the test.

With our core education program management solution, One45, we help medical schools and other health professions programs optimize the complex processes and critical components of their curriculum and student assessments to generate data-informed insights needed to graduate competent future healthcare professionals.

With our fast-growing data and insights solution, Analytics, we leverage critical integrations with our data warehouse and powerful dashboards to provide medical schools with deep insights and intelligence on student and program performance, powering real-time decision-making and continuous quality improvement.

Role & Opportunity Overview

As an AI/ML Data Scientist, you will join our Research team, which includes experts from the humanities, social sciences, and hard sciences. Research underpins our company's mission and provides data-driven, ethical insights. The team has been at the forefront of developing assessment methodologies that move beyond traditional metrics and ensure our products' scientific integrity and reliability.

In this role, you'll report to Jill Derby, our Senior Research Manager, and partner closely with Cole Walsh, our Research Scientist, on your initial project. You'll also collaborate closely with key team members from Rating, Content and New Product Development, as well as with product directors, product marketing managers, and design and engineering teams.

In your first 12 months, you get to lead the development of our first AI-powered evaluation system for the Casper platform, leveraging machine learning to transform how we assess applicants. You'll oversee the entire process, from data collection and validation to model training, implementation, and monitoring, while addressing challenges like aligning with human rater standards and ensuring demographic fairness.

Your work will drive significant business impact, including market scalability, operational efficiency, and an improved applicant experience. Over time, you'll expand to other market verticals, optimize product offerings, and lead responsible AI innovations to tackle key growth challenges.

As our AI/ML Data Scientist, you'll also help build a world-class AI and machine learning practice, define processes, tackle uncharted problems, and shape how AI/ML capabilities are embedded within Acuity Insights. Drawing from your expertise, you'll lead transformative AI projects, set performance benchmarks, and embed fairness and explainability at every stage. Your work will deliver scalable, impactful solutions that align with our ethical standards and foster trust across diverse partners.

As an AI/ML Data Scientist, your key areas of day-to-day contribution are:

Collaboration & Communication

  • Drive cross-functional alignment: Collaborate with Product, Engineering, and other Research team members to ensure AI initiatives align with strategic goals and technical requirements
  • Champion explainability: Clearly communicate complex AI processes and outcomes to technical and non-technical audiences, fostering transparency and trust
  • Lead ethical discussions: Actively participate in discussions about ethical considerations and fairness in AI to guide responsible decision-making
  • Feedback and iteration: Partner with team members to gather insights and refine AI models based on ongoing collaboration and testing


Data Science & Machine Learning

  • Design and train models: Lead the design, training, and optimization of machine learning models for evaluating responses in Casper assessments
  • Analyze and validate: Analyze large datasets, evaluate model performance against benchmarks, and ensure alignment with human rater standards
  • Ensure fairness and ethics: Develop processes to identify and mitigate bias, ensuring models are fair, explainable, and meet ethical standards
  • Incorporate best practices: Stay current with industry advancements, incorporating the latest techniques and frameworks to improve model accuracy and scalability


Execution & Delivery

  • Own model development: Oversee the full lifecycle of AI model development, from data preprocessing and feature engineering to deployment and monitoring
  • Optimize and refine: Continuously monitor AI systems in production, refining models to maintain accuracy and reliability
  • Drive Impact: Deliver scalable, cost-effective AI solutions and enhance the accessibility of assessments
  • Measure success: Establish and track key metrics to assess AI model performance, fairness, and impact on business objectives

Experiences & Skills You Bring

  • Machine Learning Expertise: You have worked in machine learning and data science or related roles or initiatives in which you've trained, retrained, and monitored ML systems. While not required, formal education or study in Statistics, Computer Science, or related fields can enhance your ability to understand complex concepts and effectively communicate with internal teams and external partners in a scholarly context and academic environment.
  • Technical Proficiency: Advanced Python skills are essential, as it will be your primary programming language. Familiarity with SQL, R, and ML libraries (e.g., Scikit-learn, PyTorch) is highly valued. Experience with LLMs like OpenAI or Hugging Face is especially useful, as they will play a key role in extracting insights that support fair and meaningful scoring algorithms
  • Data Engineering and Modeling: You understand data structures, have constructed and optimized data pipelines, and applied data modelling techniques. Familiarity with software architecture, though not required, can strengthen your collaboration with the engineering team and help integrate the AI model into internal applications
  • Analytical Depth: Solid foundation in probability, statistics, algorithms, and benchmark-driven approaches to evaluate AI quality, accuracy, and fairness
  • Focus on Ethics and Fairness: You naturally prioritize fairness and ethical AI development, take ownership of ethical and fairness considerations, and apply reflective thinking and empathy to create accurate, equitable and just models that are explainable and transparent.
  • Collaborative Mindset: You bring high emotional intelligence and a passion for working collaboratively and cross-functionally to harness diverse expertise, leverage multiple perspectives to solve complex problems and explore more robust and innovative solutions and align with organizational goals.
  • Innovation and Problem-Solving: You have a history of tackling complex, undefined problems and thrive in ambiguous and uncharted territories, exploring innovative solutions to technical challenges
  • Communication & Storytelling: You have a knack for effectively translating complex AI models and insights into clear, compelling and data-informed narratives for technical and non-technical audiences that instill trust and confidence and help drive alignment.
  • Passion for Learning & Growth: A natural curiosity and eagerness to explore new ideas drive your commitment to innovation and problem-solving. You embrace challenges with humility, seeking feedback, learning from setbacks, and staying current with AI and machine learning advancements.

Selection Process

We review every application. We consider all your professional experiences and how you have applied your skills and knowledge to add value and make an impact. We also look for evidence that you are naturally caring, curious, driven, and can be resilient in rapidly changing environments.

To ensure a fair process, you will receive equal consideration whether you apply, get introduced as a referral, or directly contact the manager or recruiter for this role.

Applicants who do not live in Canada or have a work permit will automatically be disqualified.

Interview Process

We have designed our interview process to be a two-way discovery and create space for meaningful conversations.

We want to get to know you personally and professionally, understand your career journey and experiences, relevant skills and abilities, professional interests and priorities, and assess your alignment with our business needs and what we can offer you.

We also want you to have the information you need to make an informed decision about this opportunity. That's why we encourage you to stay curious and ask questions every step of the way.

Here's an overview of the process:

  • Application Review: A human reviews your application to assess potential and fit
  • Recruiter Conversation: A 60-90 minute call to share your professional journey, career interests and priorities and learn about the company, culture, and team
  • Asynchronous Project: Complete a brief take-home project to showcase your technical and problem-solving skills
  • Manager & Peer Conversations: Meet your potential manager and a technical peer 1-on-1. Discuss your project, work experience, and technical abilities while exploring the team's day-to-day
  • Team Conversations: Meet other future team members, including leaders, peers, and collaborators, to assess team alignment and learn more about life at Acuity Insights
  • Decision: The Hiring Manager consolidates feedback and makes a decision, typically within 2-4 days
  • Offer & Reference Check: If we have found a mutual match, we'll invite you to an offer conversation. The offer is contingent on completing reference checks

Compensation

Several factors will inform our offer: your unique qualifications, experience, expected contributions and salary needs, market data, budget, and internal pay equity.

The target annual compensation for this role is $115,000 to $140,000. While this range does not represent the full Individual Contributor salary band, it reflects the budget allocated to fill the position.

Benefits From Day 1

  • Flexible and remote work. Have the freedom to work from anywhere within Canada and work from abroad for up to 6 weeks per year, and configure your schedule and work hours to best suit you.
  • Prioritize rest and time off. Join the team in our two-week year-end company closure, enjoy flexible, self-directed vacation (most take 4-6 weeks annually), and enjoy an extra Friday off each month from February to November
  • Invest in your growth. Access a $3,000 yearly learning budget to support your professional and personal development.
  • Stake in the company. Become a partial owner of Acuity Insights when you join, sharing in long-term value creation and financial success through our employee stock option plan
  • Save for retirement. Join our GRSP matching program through Wealthsimple. We match contributions up to 2% of your salary.
  • Support for health & wellness. Access comprehensive health benefits for yourself and your dependents through Equitable Life of Canada and Nivati to nurture and enhance your holistic health and well-being.
  • Grow your family. Take parental leave, regardless of your role in expanding your family, and receive a top-up for 16 weeks beyond EI benefits

Life & People at Acuity Insights

At Acuity Insights, you'll be part of a community of over 125 professionals, mostly based in Canada. While we primarily collaborate remotely, our team members connect socially and occasionally co-work in person in our larger people pockets, too.

Human Qualities That Help People Thrive at Acuity

Our team is built on a set of shared values: caring, curious, and driven. We value people who show empathy, listen actively, and act with integrity. We want our team members to be naturally curious and open to exploring new ideas and viewpoints, bringing urgency and creativity to problem-solving. Our team thrives on continuous improvement, resilience in the face of changes around us, and self-awareness. Above all, we believe in purposeful work that aligns with our shared values and makes the world a better place.

Our Commitment to Inclusion and Belonging

We strive to be a workplace where every person feels respected, valued, and fully supported. Our environment and supporting policies are designed to foster a culture of belonging, equity, and work-life balance. We embrace each team member's unique strengths and lived experiences, recognizing that diversity enriches our environment and drives our success.

We encourage applicants from non-traditional backgrounds or historically marginalized and underrepresented groups to join us.

Thanks for considering Acuity Insights as your next employer!

PS: We're Taking a Winter Pause!

At Acuity Insights, we value breaks to rest and recharge. That is why hiring activities are on hold now and throughout our Winter Holiday Shutdown from December 21, 2024, to January 5, 2025.

We are committed to reviewing your application and following up with any potential next steps after we return on January 6.

It might also help to know that our interview process typically takes 3-4 weeks from an initial conversation to a potential offer. Hang tight - and thank you for your patience! +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-13,[] +4096185192,https://mx.linkedin.com/jobs/view/sr-data-scientist-%40-cdmx-at-cinepolis-corporativo-4096185192?position=24&pageNum=0&refId=LUUGJp5%2FlBgJB5H9BEbqgg%3D%3D&trackingId=MWHt1rWSOX%2BHLRZDN7UB1A%3D%3D,Sr. Data Scientist @ CDMX,Cinepolis Corporativo,"Miguel Hidalgo, Mexico City, Mexico","Conócenos + + + + +Somos una empresa global, orgullosamente mexicana, con más de 53 años en la industria del entretenimiento. Contamos con más de 800 cines y más de 6,677 salas en 18 países: México, Argentina, Bahréin, Brasil, Chile, Colombia, Costa Rica, El Salvador, España, Estados Unidos, Guatemala, Honduras, India, Omán, Panamá, Perú y Emiratos Árabes Unidos. + + + + +Somos más de 33,000 Cinepolitos a nivel global; y gracias a la experiencia de nuestros Cinepolitos hemos logrado ser el 3er lugar mundial en número de salas, 2º lugar mundial en número de boletos vendidos y 1er lugar mundial en ocupación promedio por sala. + + + + +Para seguir creciendo y creando momentos inolvidables, buscamos personas como tú, que quieran escribir su historia con nosotros e iluminar la película de sus vidas con grandes sonrisas y momentos inolvidables. + + + + +Tu próximo rol + + + + +Cinépolis® requiere un Sr. Data Scientist independiente con fuerte pensamiento analítico y de negocio para ejecutar análisis cuantitativos y creación de algoritmos que solucionen casos de uso del negocio. Las iniciativas en las que trabajará incluyen el desarrollo de incentivos para incentivar la asistencia al cine, pronósticos de asistencia, optimización de oferta de productos, evaluación del impacto de promociones y cambios de precios, y modelos de recomendaciones de películas y productos. + + + + +¡Imagínate haciendo esto! + + + + +Alinear el trabajo individual y del equipo a las iniciativas estratégicas de la compañía. +Tomar responsabilidad de líneas de trabajo concretas, definiendo prioridades alineadas a los objetivos estratégicos de la empresa y contribuyendo al P&L de las herramientas y productos de negocio asignados. +Utilizar datos, algoritmos, y modelos analíticos para tomar decisiones estratégicas, ofreciendo recomendaciones basadas en evidencia. +Liderar análisis complejos, tales como regresiones y ejercicios de causalidad, de datos internos y externos como ventas en taquilla, dulcería, transacciones digitales, market share. +Desarrollar, implementar y optimizar modelos predictivos y algoritmos para distintos casos de uso: la programación de películas, estrategias de marketing, fidelización y gestión de inventario. +Colaborar con equipos multidisciplinarios, como marketing, operaciones y comercialización, para resolución de problemas de negocio que puedan resolverse con análisis de datos. +Implementar soluciones avanzadas de machine learning y técnicas de inteligencia artificial para mejorar la personalización de ofertas y la eficiencia operativa. +Colaborar en el diseño e implementación de arquitecturas de datos y modelos escalables, trabajando con el equipo de TI y Transformación Digital para su produccionalización. +Supervisar y mantener la calidad de los repositorios y documentación, garantizando su integridad y utilidad para otros miembros del equipo. +Diseñar y crear presentaciones y documentos que informen y faciliten la toma de decisiones por parte de equipos técnicos, gerentes y ejecutivos. +Actuar como mentor para los miembros junior del equipo, compartiendo buenas prácticas y ofreciendo orientación técnica. + + + + +¿Qué necesitas? + +Al menos 2 años de experiencia laboral como Científico/a de Datos o en un puesto similar. +Excelentes habilidades analíticas y capacidad para resolver problemas complejos utilizando datos. +Dominio de Python y SQL. +Capacidad para gestionar múltiples proyectos simultáneamente. +Habilidad para comunicar conceptos técnicos de manera clara y efectiva a audiencias no técnicas. +Capacidad para trabajar con grandes volúmenes de datos y generar insights accionables. +Experiencia práctica con modelos predictivos, machine learning, inferencia causal y técnicas estadísticas avanzadas. + + + + +Tenemos un reto para quienes quieran + +Trabajar en una empresa global orgullosamente mexicana +Desarrollar tus habilidades y poder aprender de los mejores +Experimentar lo que es realmente trabajar en un entorno dinámico, divertido y acelerado. +Desarrollar y escalar proyectos de alto impacto para la organización + + + + +Te proponemos + +Ofrecemos un excelente paquete de compensación y beneficios, además, tendrás la oportunidad de trabajar con un grupo global experimentado de profesionales. + + + + +Dar el siguiente paso en tu carrera profesional junto a un equipo global, productivo y multi cultural. + + + + +En Cinépolis® tenemos el claro objetivo de impulsar la diversidad y la inclusión en todas las dimensiones: género, LGBTQ+, habilidades, etnia y generaciones. Juntos nos embarcamos en un viaje en el que todos y cada uno de nosotros, individual y colectivamente, acogemos y celebramos las diferencias individuales. + + + + +Te ofrecemos + +Beneficios (seguro gastos médicos mayores, prestaciones de ley, vacaciones) +Salario emocional (día de cumpleaños, días flotantes, tarde libre) +Horario Flexible +Capacitación constante + + + + +Conoce más sobre cómo es trabajar en Cinépolis®, visítanos en: + +https://www.linkedin.com/company/cinepolisjobs + + + + +Cinépolis® se enorgullece de ser un empleador que ofrece igualdad de oportunidades de empleo. No discriminamos por motivos de raza, religión, color, origen nacional, sexo (incluido el embarazo, el parto, decisiones de salud reproductiva o condiciones médicas relacionadas), orientación sexual, identidad de género, expresión de género, edad, condición de veterano protegido, condición como individuo con discapacidad, información genética, opiniones o actividad política, u otras características protegidas legalmente aplicables. + + + + +Cinépolis® no acepta referencias o currículums no solicitados de ninguna fuente que no sea directamente de los candidatos o proveedores preferidos. No consideraremos referencias no solicitadas. + +Show more ","
+ + + + + +
+
+

Conócenos


Somos una empresa global, orgullosamente mexicana, con más de 53 años en la industria del entretenimiento. Contamos con más de 800 cines y más de 6,677 salas en 18 países: México, Argentina, Bahréin, Brasil, Chile, Colombia, Costa Rica, El Salvador, España, Estados Unidos, Guatemala, Honduras, India, Omán, Panamá, Perú y Emiratos Árabes Unidos.


Somos más de 33,000 Cinepolitos a nivel global; y gracias a la experiencia de nuestros Cinepolitos hemos logrado ser el 3er lugar mundial en número de salas, 2º lugar mundial en número de boletos vendidos y 1er lugar mundial en ocupación promedio por sala.


Para seguir creciendo y creando momentos inolvidables, buscamos personas como tú, que quieran escribir su historia con nosotros e iluminar la película de sus vidas con grandes sonrisas y momentos inolvidables.


Tu próximo rol


Cinépolis® requiere un Sr. Data Scientist independiente con fuerte pensamiento analítico y de negocio para ejecutar análisis cuantitativos y creación de algoritmos que solucionen casos de uso del negocio. Las iniciativas en las que trabajará incluyen el desarrollo de incentivos para incentivar la asistencia al cine, pronósticos de asistencia, optimización de oferta de productos, evaluación del impacto de promociones y cambios de precios, y modelos de recomendaciones de películas y productos.


¡Imagínate haciendo esto!


  • Alinear el trabajo individual y del equipo a las iniciativas estratégicas de la compañía.
  • Tomar responsabilidad de líneas de trabajo concretas, definiendo prioridades alineadas a los objetivos estratégicos de la empresa y contribuyendo al P&L de las herramientas y productos de negocio asignados.
  • Utilizar datos, algoritmos, y modelos analíticos para tomar decisiones estratégicas, ofreciendo recomendaciones basadas en evidencia.
  • Liderar análisis complejos, tales como regresiones y ejercicios de causalidad, de datos internos y externos como ventas en taquilla, dulcería, transacciones digitales, market share.
  • Desarrollar, implementar y optimizar modelos predictivos y algoritmos para distintos casos de uso: la programación de películas, estrategias de marketing, fidelización y gestión de inventario.
  • Colaborar con equipos multidisciplinarios, como marketing, operaciones y comercialización, para resolución de problemas de negocio que puedan resolverse con análisis de datos.
  • Implementar soluciones avanzadas de machine learning y técnicas de inteligencia artificial para mejorar la personalización de ofertas y la eficiencia operativa.
  • Colaborar en el diseño e implementación de arquitecturas de datos y modelos escalables, trabajando con el equipo de TI y Transformación Digital para su produccionalización.
  • Supervisar y mantener la calidad de los repositorios y documentación, garantizando su integridad y utilidad para otros miembros del equipo.
  • Diseñar y crear presentaciones y documentos que informen y faciliten la toma de decisiones por parte de equipos técnicos, gerentes y ejecutivos.
  • Actuar como mentor para los miembros junior del equipo, compartiendo buenas prácticas y ofreciendo orientación técnica.


¿Qué necesitas?

  • Al menos 2 años de experiencia laboral como Científico/a de Datos o en un puesto similar.
  • Excelentes habilidades analíticas y capacidad para resolver problemas complejos utilizando datos.
  • Dominio de Python y SQL.
  • Capacidad para gestionar múltiples proyectos simultáneamente.
  • Habilidad para comunicar conceptos técnicos de manera clara y efectiva a audiencias no técnicas.
  • Capacidad para trabajar con grandes volúmenes de datos y generar insights accionables.
  • Experiencia práctica con modelos predictivos, machine learning, inferencia causal y técnicas estadísticas avanzadas.


Tenemos un reto para quienes quieran

  • Trabajar en una empresa global orgullosamente mexicana
  • Desarrollar tus habilidades y poder aprender de los mejores
  • Experimentar lo que es realmente trabajar en un entorno dinámico, divertido y acelerado.
  • Desarrollar y escalar proyectos de alto impacto para la organización


Te proponemos

Ofrecemos un excelente paquete de compensación y beneficios, además, tendrás la oportunidad de trabajar con un grupo global experimentado de profesionales.


Dar el siguiente paso en tu carrera profesional junto a un equipo global, productivo y multi cultural.


En Cinépolis® tenemos el claro objetivo de impulsar la diversidad y la inclusión en todas las dimensiones: género, LGBTQ+, habilidades, etnia y generaciones. Juntos nos embarcamos en un viaje en el que todos y cada uno de nosotros, individual y colectivamente, acogemos y celebramos las diferencias individuales.


Te ofrecemos

  • Beneficios (seguro gastos médicos mayores, prestaciones de ley, vacaciones)
  • Salario emocional (día de cumpleaños, días flotantes, tarde libre)
  • Horario Flexible
  • Capacitación constante


Conoce más sobre cómo es trabajar en Cinépolis®, visítanos en:

https://www.linkedin.com/company/cinepolisjobs


Cinépolis® se enorgullece de ser un empleador que ofrece igualdad de oportunidades de empleo. No discriminamos por motivos de raza, religión, color, origen nacional, sexo (incluido el embarazo, el parto, decisiones de salud reproductiva o condiciones médicas relacionadas), orientación sexual, identidad de género, expresión de género, edad, condición de veterano protegido, condición como individuo con discapacidad, información genética, opiniones o actividad política, u otras características protegidas legalmente aplicables.


Cinépolis® no acepta referencias o currículums no solicitados de ninguna fuente que no sea directamente de los candidatos o proveedores preferidos. No consideraremos referencias no solicitadas.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-10,[] +4099351704,https://www.linkedin.com/jobs/view/data-scientist-at-antal-international-4099351704?position=27&pageNum=0&refId=LUUGJp5%2FlBgJB5H9BEbqgg%3D%3D&trackingId=TuppfS3nd1Ao0AM%2Bu5QQ4A%3D%3D,Data Scientist,Antal International,"Mountain View, CA","Our client is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. + +Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the company’s long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. We continue to be the leading content services provider to research and education publishers. + +Data Analytics & Al Services: Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them. + +With a client-base scoping 30 countries worldwide, multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore. + +Job Title: Data Science + +Location: Mountain View, CA (5 days onsite) + +Type: FTE + +Job Description: + +1. 3+ Years of Banking / Payments analytics experience in a consulting set-up. + +2. Strong experience of developing and deploying Predictive/ML solutions. + +3. Proficiency in SQL, Tableau, Python. + +4. Strong experience in Big Data Technologies like Hadoop, Spark or similar platforms. + +5. Excellent communication skills and strong stakeholder management experience. + +6. Strong problem-solving skills. + +Show more ","
+ + + + + +
+
+

Our client is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains.

Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the company’s long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. We continue to be the leading content services provider to research and education publishers.

Data Analytics & Al Services: Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them.

With a client-base scoping 30 countries worldwide, multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore.

Job Title: Data Science

Location: Mountain View, CA (5 days onsite)

Type: FTE

Job Description:

1. 3+ Years of Banking / Payments analytics experience in a consulting set-up.

2. Strong experience of developing and deploying Predictive/ML solutions.

3. Proficiency in SQL, Tableau, Python.

4. Strong experience in Big Data Technologies like Hadoop, Spark or similar platforms.

5. Excellent communication skills and strong stakeholder management experience.

6. Strong problem-solving skills.

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",2024-12-13,[] +4084146230,https://www.linkedin.com/jobs/view/senior-data-scientist-real-estate-at-circle-k-4084146230?position=34&pageNum=0&refId=LUUGJp5%2FlBgJB5H9BEbqgg%3D%3D&trackingId=KuGcX7cusuKjx0BehqkXjg%3D%3D,Senior Data Scientist- Real Estate,Circle K,"Tempe, AZ","Sr. Data Scientist (Global Data and Analytics) + +Job Summary + +As a member of the Enterprise Data & Analytics Team, the Data Scientist is an everyday partner with multiple departments, including Global Real Estate, Global Marketing, Category Management, Shared Services & Finance, Global Technology, and Business Unit Leadership. This is a unique opportunity to work on a new, growing team within a large organization. + +The Senior Data Scientist is responsible for delivering advanced analytics projects that drive business results. The ideal candidate should possess the ability to independently deliver all aspects of project work, including interpreting business questions and desired outcomes, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables that are suitable for internal and external presentation. + +We are looking for an individual who is a proven problem solver with exceptional critical thinking ability. The candidate should have a high sense of curiosity and be comfortable with ambiguity when faced with a difficult challenge. Additionally, the candidate should possess the abilities to collaborate with others and simply and effectively communicate complex concepts with a non-technical audience. + +Responsibilities/Accountabilities + + +Independently develop advanced analytics and predictive models from design through implementation in the areas of real estate site selection forecasts and network optimization. Additional knowledge in areas including pricing and promotion, marketing, and merchandising would also be preferred +Review data science models, code refactoring, packaging, versioning and monitoring of model output quality; +Design, improve, document, develop, code, and test sophisticated analytical prototype models in a big-data environment; +Utilize software development tool and methodologies such as Git, CI/CD and Agile; +Use statistical-econometric, machine learning methods to design and suggest experiments for data driven merchandising and new ways to establish causality and answer strategic questions using data; +Measure the overall business value of the models and concisely explain complex analytical findings to non-analytical peers and business leaders; +Design and implement end-to-end data pipelines: work closely with Data engineering to build data assets (schemas, tables, views) that support business processes; +Ideate, architect, build and enhance the platform for our Merch Pricing Engine; +Drive strategic initiative and vision for various project data needs using ETL and data management architecture to support predictive models, analytical models, and niche data processing use cases such geo spatial transformations. + + +Knowledge, Skills And Other Qualifications Required + + +Experience in the design, development, deployment and monitoring of large-scale production machine learning systems; +Demonstrated knowledge of SQL, R and Python; +Experience querying large datasets using Hive/SparkSQL/PySpark; +Experience with ML frameworks, including a combination of the following: scikit-learn, Tensorflow, Keras, Pytorch, SparkMLlib etc.; +Experience with software development practices, object-oriented principles, and test automation; +Experience with version control systems, including Git or Mercurial; +Experience with cloud-based analytics environments including Azure, AWS or GCP; +Experience applying operational research, statistical and machine learning techniques, including a combination of the following: classification, regression, time series forecasting, clustering, optimization, anomaly detection etc.; +Experienced with agile methodologies using project planning and tracking management tools, including JIRA or Rally; +Strong problem-solving skills and ability to troubleshoot complex distributed systems; +Strong interpersonal skills, including the ability to communicate the business benefits of analytics; +Ability to design, develop, and implement advanced statistical models, machine learning algorithms, and predictive analytics solutions using large geospatial and transactional datasets +Knowledge of commercial real estate preferred +Availability to travel up to 10% of the time + + +Education/Training Required + + +Bachelor’s or Masters degree required with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) +Masters degree with 3+ years experience or Bachelors degree with 4+ years of experience in a data science/advanced analytics role. +Experience with Geospatial analytics strongly preferred + + +Circle K is an Equal Opportunity Employer. + +The Company complies with the Americans with Disabilities Act (the ADA) and all state and local disability laws. Applicants with disabilities may be entitled to a reasonable accommodation under the terms of the ADA and certain state or local laws as long as it does not impose an undue hardship on the Company. Please inform the Company’s Human Resources Representative if you need assistance completing any forms or to otherwise participate in the application process. + +Click below to review information about our company's use of the federal E-Verify program to check work eligibility: + +In English + +In Spanish + + +Show more ","
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+ Sr. Data Scientist (Global Data and Analytics)

Job Summary

As a member of the Enterprise Data & Analytics Team, the Data Scientist is an everyday partner with multiple departments, including Global Real Estate, Global Marketing, Category Management, Shared Services & Finance, Global Technology, and Business Unit Leadership. This is a unique opportunity to work on a new, growing team within a large organization.

The Senior Data Scientist is responsible for delivering advanced analytics projects that drive business results. The ideal candidate should possess the ability to independently deliver all aspects of project work, including interpreting business questions and desired outcomes, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables that are suitable for internal and external presentation.

We are looking for an individual who is a proven problem solver with exceptional critical thinking ability. The candidate should have a high sense of curiosity and be comfortable with ambiguity when faced with a difficult challenge. Additionally, the candidate should possess the abilities to collaborate with others and simply and effectively communicate complex concepts with a non-technical audience.

Responsibilities/Accountabilities

  • Independently develop advanced analytics and predictive models from design through implementation in the areas of real estate site selection forecasts and network optimization. Additional knowledge in areas including pricing and promotion, marketing, and merchandising would also be preferred
  • Review data science models, code refactoring, packaging, versioning and monitoring of model output quality;
  • Design, improve, document, develop, code, and test sophisticated analytical prototype models in a big-data environment;
  • Utilize software development tool and methodologies such as Git, CI/CD and Agile;
  • Use statistical-econometric, machine learning methods to design and suggest experiments for data driven merchandising and new ways to establish causality and answer strategic questions using data;
  • Measure the overall business value of the models and concisely explain complex analytical findings to non-analytical peers and business leaders;
  • Design and implement end-to-end data pipelines: work closely with Data engineering to build data assets (schemas, tables, views) that support business processes;
  • Ideate, architect, build and enhance the platform for our Merch Pricing Engine;
  • Drive strategic initiative and vision for various project data needs using ETL and data management architecture to support predictive models, analytical models, and niche data processing use cases such geo spatial transformations.

Knowledge, Skills And Other Qualifications Required

  • Experience in the design, development, deployment and monitoring of large-scale production machine learning systems;
  • Demonstrated knowledge of SQL, R and Python;
  • Experience querying large datasets using Hive/SparkSQL/PySpark;
  • Experience with ML frameworks, including a combination of the following: scikit-learn, Tensorflow, Keras, Pytorch, SparkMLlib etc.;
  • Experience with software development practices, object-oriented principles, and test automation;
  • Experience with version control systems, including Git or Mercurial;
  • Experience with cloud-based analytics environments including Azure, AWS or GCP;
  • Experience applying operational research, statistical and machine learning techniques, including a combination of the following: classification, regression, time series forecasting, clustering, optimization, anomaly detection etc.;
  • Experienced with agile methodologies using project planning and tracking management tools, including JIRA or Rally;
  • Strong problem-solving skills and ability to troubleshoot complex distributed systems;
  • Strong interpersonal skills, including the ability to communicate the business benefits of analytics;
  • Ability to design, develop, and implement advanced statistical models, machine learning algorithms, and predictive analytics solutions using large geospatial and transactional datasets
  • Knowledge of commercial real estate preferred
  • Availability to travel up to 10% of the time

Education/Training Required

  • Bachelor’s or Masters degree required with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)
  • Masters degree with 3+ years experience or Bachelors degree with 4+ years of experience in a data science/advanced analytics role.
  • Experience with Geospatial analytics strongly preferred

Circle K is an Equal Opportunity Employer.

The Company complies with the Americans with Disabilities Act (the ADA) and all state and local disability laws. Applicants with disabilities may be entitled to a reasonable accommodation under the terms of the ADA and certain state or local laws as long as it does not impose an undue hardship on the Company. Please inform the Company’s Human Resources Representative if you need assistance completing any forms or to otherwise participate in the application process.

Click below to review information about our company's use of the federal E-Verify program to check work eligibility:

In English

In Spanish

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",2024-11-28,[] +4100043514,https://www.linkedin.com/jobs/view/data-scientist-at-recruitlink-ai-4100043514?position=35&pageNum=0&refId=LUUGJp5%2FlBgJB5H9BEbqgg%3D%3D&trackingId=kPyCcBqG8tZkBluZxnOPUA%3D%3D,Data Scientist,RecruitLink AI,"McLean, VA","Overview + +The Data Scientist plays a critical role in extracting valuable insights from complex data sets to inform business decisions and drive innovations within the organization. This position requires a blend of technical expertise, analytical skills, and a strong business acumen to identify patterns, correlations, and trends within quantitative and qualitative data. A Data Scientist collaborates with cross-functional teams, including business analysts, and IT professionals, to implement data-driven strategies that enhance operational efficiency and improve customer experiences. The impact of a Data Scientist extends to shaping the company's data strategy, streamlining processes, and fostering a culture of data awareness across all levels of the organization. + +Key Responsibilities + + +Develop predictive models to enhance decision-making processes. +Perform data mining and statistical analysis to extract useful information. +Collaborate with stakeholders to understand their data needs and requirements. +Design and implement data collection processes for data analytics purposes. +Utilize machine learning algorithms to find solutions to business problems. +Create data visualizations and dashboards to communicate findings effectively. +Analyze and interpret complex data sets using statistical techniques. +Provide insights and recommendations based on data analysis. +Evaluate and improve data collection and analysis processes. +Work with large data sets and distributed computing frameworks. +Publish results, findings, and insights in a clear and concise manner. +Keep up to date with emerging data science technologies and methodologies. +Support data-driven decision-making across various departments. +Conduct experiments and A/B testing to optimize business strategies. +Document data science processes and methodologies for future reference. + + +Required Qualifications + + +Bachelor's degree in Computer Science, Mathematics, Statistics, or related field. +Master's degree or Ph.D. in Data Science or related discipline preferred. +5+ years of experience in a data science or analytic role. +Proficiency in programming languages such as Python or R. +Strong knowledge of SQL and relational databases. +Experience with Big Data technologies such as Hadoop or Spark. +Solid understanding of machine learning algorithms and techniques. +Experience with data visualization tools like Tableau or Power BI. +Familiarity with data cleaning and preprocessing methods. +Ability to communicate complex data in a clear and understandable manner. +Strong analytical and problem-solving skills. +Experience in delivering presentations to stakeholders. +Demonstrated ability to work collaboratively in cross-functional teams. +A portfolio showcasing data science projects or case studies. +Knowledge of industry standards, best practices, and guidelines for data science. +Continuous learning mindset and adaptability to new technologies. + + +Skills: power bi,sql proficiency,r,big data technologies,tableau,problem solving,data visualization,machine learning,data cleaning,spark,hadoop,feature engineering,python,sql,statistical analysis,preprocessing,data mining +Show more ","
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+ Overview

The Data Scientist plays a critical role in extracting valuable insights from complex data sets to inform business decisions and drive innovations within the organization. This position requires a blend of technical expertise, analytical skills, and a strong business acumen to identify patterns, correlations, and trends within quantitative and qualitative data. A Data Scientist collaborates with cross-functional teams, including business analysts, and IT professionals, to implement data-driven strategies that enhance operational efficiency and improve customer experiences. The impact of a Data Scientist extends to shaping the company's data strategy, streamlining processes, and fostering a culture of data awareness across all levels of the organization.

Key Responsibilities

  • Develop predictive models to enhance decision-making processes.
  • Perform data mining and statistical analysis to extract useful information.
  • Collaborate with stakeholders to understand their data needs and requirements.
  • Design and implement data collection processes for data analytics purposes.
  • Utilize machine learning algorithms to find solutions to business problems.
  • Create data visualizations and dashboards to communicate findings effectively.
  • Analyze and interpret complex data sets using statistical techniques.
  • Provide insights and recommendations based on data analysis.
  • Evaluate and improve data collection and analysis processes.
  • Work with large data sets and distributed computing frameworks.
  • Publish results, findings, and insights in a clear and concise manner.
  • Keep up to date with emerging data science technologies and methodologies.
  • Support data-driven decision-making across various departments.
  • Conduct experiments and A/B testing to optimize business strategies.
  • Document data science processes and methodologies for future reference.

Required Qualifications

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or related field.
  • Master's degree or Ph.D. in Data Science or related discipline preferred.
  • 5+ years of experience in a data science or analytic role.
  • Proficiency in programming languages such as Python or R.
  • Strong knowledge of SQL and relational databases.
  • Experience with Big Data technologies such as Hadoop or Spark.
  • Solid understanding of machine learning algorithms and techniques.
  • Experience with data visualization tools like Tableau or Power BI.
  • Familiarity with data cleaning and preprocessing methods.
  • Ability to communicate complex data in a clear and understandable manner.
  • Strong analytical and problem-solving skills.
  • Experience in delivering presentations to stakeholders.
  • Demonstrated ability to work collaboratively in cross-functional teams.
  • A portfolio showcasing data science projects or case studies.
  • Knowledge of industry standards, best practices, and guidelines for data science.
  • Continuous learning mindset and adaptability to new technologies.

Skills: power bi,sql proficiency,r,big data technologies,tableau,problem solving,data visualization,machine learning,data cleaning,spark,hadoop,feature engineering,python,sql,statistical analysis,preprocessing,data mining +
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",2024-12-13,[] +4093872840,https://www.linkedin.com/jobs/view/data-scientist-at-neumarker-inc-4093872840?position=37&pageNum=0&refId=LUUGJp5%2FlBgJB5H9BEbqgg%3D%3D&trackingId=b32ghp8wLgdcIC0l4ZI5mQ%3D%3D,Data Scientist,Neumarker Inc.,"Palo Alto, CA","Company Description + +Neumarker Inc., located in the San Francisco Bay Area, is dedicated to revolutionizing the treatment of CNS disorders through its cutting-edge brain biomarker discovery platform powered by AI. By identifying predictive brain biomarkers, Neumarker personalizes treatment for each patient and accelerates drug development through efficient clinical trials. The company collaborates with drug developers, clinicians, and academic researchers to advance precision neuromedicine. + + + + +Role Description + +This is a full-time hybrid role for a Data Scientist and AI developer in Neurophysiological data analysis at Neumarker Inc. Some remote work is acceptable. The role involves conducting neurophysiological data analysis, applying machine learning techniques and advanced statistics to develop digital biomarkers for psychiatry and neurology. + + + + +Qualifications + +Data Science, Statistics, and Data Analysis skills +Proficiency in applying advanced machine learning methods +Strong programming skills in languages like Python or Matlab +Experience with neurophysiological data analysis and interpretation +Ability to work independently and collaboratively in a multidisciplinary team +Excellent communication and presentation skills +Master's or Ph.D. in Data Science, Neuroscience, Computer Science, or related field + +Show more ","
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Company Description

Neumarker Inc., located in the San Francisco Bay Area, is dedicated to revolutionizing the treatment of CNS disorders through its cutting-edge brain biomarker discovery platform powered by AI. By identifying predictive brain biomarkers, Neumarker personalizes treatment for each patient and accelerates drug development through efficient clinical trials. The company collaborates with drug developers, clinicians, and academic researchers to advance precision neuromedicine.


Role Description

This is a full-time hybrid role for a Data Scientist and AI developer in Neurophysiological data analysis at Neumarker Inc. Some remote work is acceptable. The role involves conducting neurophysiological data analysis, applying machine learning techniques and advanced statistics to develop digital biomarkers for psychiatry and neurology.


Qualifications

  • Data Science, Statistics, and Data Analysis skills
  • Proficiency in applying advanced machine learning methods
  • Strong programming skills in languages like Python or Matlab
  • Experience with neurophysiological data analysis and interpretation
  • Ability to work independently and collaboratively in a multidisciplinary team
  • Excellent communication and presentation skills
  • Master's or Ph.D. in Data Science, Neuroscience, Computer Science, or related field

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",2024-12-06,[] +4096523664,https://www.linkedin.com/jobs/view/data-scientist-algorithms-pricing-at-lyft-4096523664?position=40&pageNum=0&refId=LUUGJp5%2FlBgJB5H9BEbqgg%3D%3D&trackingId=cg%2FgcIgaFzYPD5mswkM%2FtA%3D%3D,"Data Scientist, Algorithms - Pricing",Lyft,"New York, NY","At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization. + +Data Science is central to Lyft's products and decision-making. As a Data Scientist on the cross-functional team, you will work in a dynamic environment, tackling a variety of problems by leveraging optimization and inference to shape critical business decisions. We seek passionate, driven Data Scientists to address some of the most interesting and impactful problems in ridesharing. + +We are hiring a Senior Data Scientist to join the Pricing team. The Pricing team owns the models and software systems that determine the prices shown to riders. Working with our business and analytics partners, the team owns tools to ensure Lyft offers competitive prices while making efficient financial trade-offs. We're looking for someone who is passionate about solving mathematical problems with data, and are excited about working in a fast-paced, innovative and collegial environment. In this role, you will report to a Data Science Manager. + +Responsibilities: + + +Partner with Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context +Prioritize and lead deep dives into our data to uncover new product and business opportunities +Being familiar with production code; collaborate with Software Engineers to implement algorithms and models in production +Design, implement, and analyse different types of experiments, and facilitate and foster data-driven and informed decision making and prioritization +Establish metrics that measure the health of our products, as well as rider and driver experience +Drive collaboration and coordination with cross-functional teams +Provide coaching and technical guidance for other teammates + + +Experience: + + +Ph.D. in Operations Research, Statistics, Economics, or other quantitative fields or related work experience. +2+ years professional experience in a technology companies +Proven experience with building and evaluating optimization and inference models +Proficiency with Python and working in a production coding environment +Passion for solving unstructured and non-standard mathematical problems +End-to-end experience with data, including querying, aggregation, analysis, and visualization +Strong oral and written communication skills, and ability to collaborate and communicate with others to solve a problem + + +Benefits: + + +Great medical, dental, and vision insurance options +Mental health benefits +Family building benefits +In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off +401(k) plan to help save for your future +18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible +Pre-tax commuter benefits +Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program + + +Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. + +This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid + +The expected base pay range for this position in the New York City area is $144,000 - $180,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. +Show more ","
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+ At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Data Science is central to Lyft's products and decision-making. As a Data Scientist on the cross-functional team, you will work in a dynamic environment, tackling a variety of problems by leveraging optimization and inference to shape critical business decisions. We seek passionate, driven Data Scientists to address some of the most interesting and impactful problems in ridesharing.

We are hiring a Senior Data Scientist to join the Pricing team. The Pricing team owns the models and software systems that determine the prices shown to riders. Working with our business and analytics partners, the team owns tools to ensure Lyft offers competitive prices while making efficient financial trade-offs. We're looking for someone who is passionate about solving mathematical problems with data, and are excited about working in a fast-paced, innovative and collegial environment. In this role, you will report to a Data Science Manager.

Responsibilities:

  • Partner with Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context
  • Prioritize and lead deep dives into our data to uncover new product and business opportunities
  • Being familiar with production code; collaborate with Software Engineers to implement algorithms and models in production
  • Design, implement, and analyse different types of experiments, and facilitate and foster data-driven and informed decision making and prioritization
  • Establish metrics that measure the health of our products, as well as rider and driver experience
  • Drive collaboration and coordination with cross-functional teams
  • Provide coaching and technical guidance for other teammates

Experience:

  • Ph.D. in Operations Research, Statistics, Economics, or other quantitative fields or related work experience.
  • 2+ years professional experience in a technology companies
  • Proven experience with building and evaluating optimization and inference models
  • Proficiency with Python and working in a production coding environment
  • Passion for solving unstructured and non-standard mathematical problems
  • End-to-end experience with data, including querying, aggregation, analysis, and visualization
  • Strong oral and written communication skills, and ability to collaborate and communicate with others to solve a problem

Benefits:

  • Great medical, dental, and vision insurance options
  • Mental health benefits
  • Family building benefits
  • In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
  • 401(k) plan to help save for your future
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Pre-tax commuter benefits
  • Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the New York City area is $144,000 - $180,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. +
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",2024-12-10,[] +4098305295,https://www.linkedin.com/jobs/view/data-scientist-at-mindtris-4098305295?position=45&pageNum=0&refId=LUUGJp5%2FlBgJB5H9BEbqgg%3D%3D&trackingId=gKuMngQxa7TRrH9%2Bpi4%2BHg%3D%3D,Data Scientist,Mindtris,"McLean, VA","Role : Data Scientist Location : Maclean, VA (Onsite) or Fort Meade, MD ( Onsite ) Salary : $151K-$180K ( Max-$185K ) Experience level: Mid-senior Experience required: 3 Years Education level: Bachelor's degree Relocation assistance: No Visa sponsorship eligibility: No Clearance Required: TS/SCI with Full Scope Poly + +Must Have + + +Active TS/SCI security clearance with the Polygraph +Bachelor's degree in a technical field (computer science, mathematics, statistics, etc.) with 3 years of relevant experience. +Data Science experience +Python and/or R +Machine Learning/Computer Vision/Object Detection +Prior experience with PyTorch, keras and overhead imagery would be beneficial but not a requirement +Master's degree in a technical field (computer science, mathematics, statistics etc.) with 1 year of relevant experience +Bachelor's degree in a technical field (computer science, mathematics, statistics etc.) + + +You will join a skilled team applying cutting edge research in a complex and evolving data environment, develop code to perform complex modeling to detect and characterize objects (using python, TensorFlow, PyTorch and related software packages) and enhance an evolving analytic tradecraft. You will integrate data from a variety of sources, formats and disciplines into coherent databases, train foundation models to advance the Intelligence Community, fine-tune models to address real intelligence questions, and write compelling documentation and reports for decision makers. This position will be part of our Defense and Intelligence Team serving the Intelligence Community as our primary customer. + +Job Responsibilities + + +Conceptual, quantitative, organizational, research, writing, verbal communication and graphical representation skills. +Sound judgment and creative problem solving and independent working skills. +Sound interpersonal and teamwork skills to work with individuals and organizations, to include varying levels and types (Government, industry, and academia). +Facilitation skills to bring diverse groups together on issues and reach consensus across stakeholders. +The ability to perform complex analyses and to communicate its results using accurate, concise, and effective writing and through descriptive and graphical representations. +Technical understanding of the systems supporting aspects of the functional areas. +Knowledge of standard tools [e.g., the Sponsor's various computing networks, Microsoft Office Products], as appropriate; and a demonstrated ability to learn to use and support other tools that may be added or developed as the program evolves. +Flexibility in assisting with ad hoc tasks and in adjusting as tasks are re-prioritized. + + +Job Specifications/Requirements + + +Active TS/SCI security clearance with the required Polygraph +Bachelor's degree in a technical field (computer science, mathematics, statistics, etc.) with 3 years of relevant experience. +Data Science experience +Python and/or R +Machine Learning/Computer Vision/Object Detection + + +Desired Skills + + +Prior experience with PyTorch, Keras and overhead imagery would be beneficial but not a requirement +Master's degree in a technical field (computer science, mathematics, statistics etc.) with 1 year of relevant experience +Bachelor's degree in a technical field (computer science, mathematics, statistics etc.) + + +Mindtris, a minority women-owned enterprise, is at the forefront of digital transformation, technology excellence, and business growth solutions. Specializing in talent mobilization and innovation, we are dedicated to enhancing customer experiences across diverse sectors such as Information Technology, Telecommunications, Healthcare, Engineering, and the Public sector. With a focus on deploying top-tier talent and fostering innovation, we empower businesses to thrive and excel in a rapidly evolving digital landscape, helping them reach new heights of success. + +Mindtris is committed to fostering workforce diversity and is proud to be an equal opportunity employer. +Show more ","
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+ Role : Data Scientist Location : Maclean, VA (Onsite) or Fort Meade, MD ( Onsite ) Salary : $151K-$180K ( Max-$185K ) Experience level: Mid-senior Experience required: 3 Years Education level: Bachelor's degree Relocation assistance: No Visa sponsorship eligibility: No Clearance Required: TS/SCI with Full Scope Poly

Must Have

  • Active TS/SCI security clearance with the Polygraph
  • Bachelor's degree in a technical field (computer science, mathematics, statistics, etc.) with 3 years of relevant experience.
  • Data Science experience
  • Python and/or R
  • Machine Learning/Computer Vision/Object Detection
  • Prior experience with PyTorch, keras and overhead imagery would be beneficial but not a requirement
  • Master's degree in a technical field (computer science, mathematics, statistics etc.) with 1 year of relevant experience
  • Bachelor's degree in a technical field (computer science, mathematics, statistics etc.)

You will join a skilled team applying cutting edge research in a complex and evolving data environment, develop code to perform complex modeling to detect and characterize objects (using python, TensorFlow, PyTorch and related software packages) and enhance an evolving analytic tradecraft. You will integrate data from a variety of sources, formats and disciplines into coherent databases, train foundation models to advance the Intelligence Community, fine-tune models to address real intelligence questions, and write compelling documentation and reports for decision makers. This position will be part of our Defense and Intelligence Team serving the Intelligence Community as our primary customer.

Job Responsibilities

  • Conceptual, quantitative, organizational, research, writing, verbal communication and graphical representation skills.
  • Sound judgment and creative problem solving and independent working skills.
  • Sound interpersonal and teamwork skills to work with individuals and organizations, to include varying levels and types (Government, industry, and academia).
  • Facilitation skills to bring diverse groups together on issues and reach consensus across stakeholders.
  • The ability to perform complex analyses and to communicate its results using accurate, concise, and effective writing and through descriptive and graphical representations.
  • Technical understanding of the systems supporting aspects of the functional areas.
  • Knowledge of standard tools [e.g., the Sponsor's various computing networks, Microsoft Office Products], as appropriate; and a demonstrated ability to learn to use and support other tools that may be added or developed as the program evolves.
  • Flexibility in assisting with ad hoc tasks and in adjusting as tasks are re-prioritized.

Job Specifications/Requirements

  • Active TS/SCI security clearance with the required Polygraph
  • Bachelor's degree in a technical field (computer science, mathematics, statistics, etc.) with 3 years of relevant experience.
  • Data Science experience
  • Python and/or R
  • Machine Learning/Computer Vision/Object Detection

Desired Skills

  • Prior experience with PyTorch, Keras and overhead imagery would be beneficial but not a requirement
  • Master's degree in a technical field (computer science, mathematics, statistics etc.) with 1 year of relevant experience
  • Bachelor's degree in a technical field (computer science, mathematics, statistics etc.)

Mindtris, a minority women-owned enterprise, is at the forefront of digital transformation, technology excellence, and business growth solutions. Specializing in talent mobilization and innovation, we are dedicated to enhancing customer experiences across diverse sectors such as Information Technology, Telecommunications, Healthcare, Engineering, and the Public sector. With a focus on deploying top-tier talent and fostering innovation, we empower businesses to thrive and excel in a rapidly evolving digital landscape, helping them reach new heights of success.

Mindtris is committed to fostering workforce diversity and is proud to be an equal opportunity employer. +
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",2024-12-13,[] +4097663908,https://ca.linkedin.com/jobs/view/data-scientist-at-global-technical-talent-an-inc-5000-company-4097663908?position=49&pageNum=0&refId=LUUGJp5%2FlBgJB5H9BEbqgg%3D%3D&trackingId=3WQ2UIGcavucLqZAYCDdSg%3D%3D,Data Scientist,"Global Technical Talent, an Inc. 5000 Company","Toronto, Ontario, Canada","Job Title: Data Scientist +Contract Duration: 12 Months +Pay range C$50 - 60/hr +Work Type: Hybrid: 2-3 days onsite +Location: Toronto, ON + + +Job Description: + +Are you a skilled data scientist with a passion for driving business insights? Join our team at a top 10 bank in Canada and North America, and contribute to our innovative financial solutions. + + +Key Responsibilities: + +Test and modify data programs and databases. +Design and implement database management systems. +Collaborate with project teams to coordinate database development. +Analyze project requests and estimate resource requirements. + + +Required Qualifications: + +5+ years of data scientist experience. +Data modeling experience. +Business intelligence expertise. +Proficiency in SAS, Python, and SQL. +Ability to manage multiple projects simultaneously. + + +Preferred Qualifications: + +Oracle experience. +AML experience. +SAS AML experience. +Fraud and compliance experience. +Banking experience. + + +About Us: + +Leading financial institution offering a comprehensive range of banking services. Join our team and make a meaningful impact on our customers' financial success. + + +Keywords: data scientist, data modeling, business intelligence, SAS, Python, SQL, banking, finance, financial services, career opportunities, job openings + +24-13343 #gttca   #gttjobs  + +Show more ","
+ + + + + +
+
+ Job Title: Data Scientist
Contract Duration: 12 Months
Pay range C$50 - 60/hr
Work Type: Hybrid: 2-3 days onsite
Location: Toronto, ON


Job Description:

Are you a skilled data scientist with a passion for driving business insights? Join our team at a top 10 bank in Canada and North America, and contribute to our innovative financial solutions.


Key Responsibilities:

  • Test and modify data programs and databases.
  • Design and implement database management systems.
  • Collaborate with project teams to coordinate database development.
  • Analyze project requests and estimate resource requirements.


Required Qualifications:

  • 5+ years of data scientist experience.
  • Data modeling experience.
  • Business intelligence expertise.
  • Proficiency in SAS, Python, and SQL.
  • Ability to manage multiple projects simultaneously.


Preferred Qualifications:

  • Oracle experience.
  • AML experience.
  • SAS AML experience.
  • Fraud and compliance experience.
  • Banking experience.


About Us:

Leading financial institution offering a comprehensive range of banking services. Join our team and make a meaningful impact on our customers' financial success.


Keywords: data scientist, data modeling, business intelligence, SAS, Python, SQL, banking, finance, financial services, career opportunities, job openings

24-13343 #gttca   #gttjobs 

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-13,[] +4099050639,https://www.linkedin.com/jobs/view/data-scientist-at-mindtris-4099050639?position=50&pageNum=0&refId=LUUGJp5%2FlBgJB5H9BEbqgg%3D%3D&trackingId=KVg%2FAcnLOsodPFZEz1sSZw%3D%3D,Data Scientist,Mindtris,"Virginia, United States","Role : Data Scientist + +Location : Maclean, VA (Onsite) or Fort Meade, MD ( Onsite ) + +Salary : $151K-$180K ( Max-$185K ) + +Experience level: Mid-senior + +Experience required: 3 Years + +Education level: Bachelor’s degree + +Relocation assistance: No + +Visa sponsorship eligibility: No + +Clearance Required: TS/SCI with Full Scope Poly + +Must Have + + +Active TS/SCI security clearance with the Polygraph +Bachelor’s degree in a technical field (computer science, mathematics, statistics, etc.) with 3 years of relevant experience. +Data Science experience +Python and/or R +Machine Learning/Computer Vision/Object Detection +Prior experience with PyTorch, keras and overhead imagery would be beneficial but not a requirement +Master’s degree in a technical field (computer science, mathematics, statistics etc.) with 1 year of relevant experience +Bachelor’s degree in a technical field (computer science, mathematics, statistics etc.) + + +You will join a skilled team applying cutting edge research in a complex and evolving data environment, develop code to perform complex modeling to detect and characterize objects (using python, TensorFlow, PyTorch and related software packages) and enhance an evolving analytic tradecraft. You will integrate data from a variety of sources, formats and disciplines into coherent databases, train foundation models to advance the Intelligence Community, fine-tune models to address real intelligence questions, and write compelling documentation and reports for decision makers. This position will be part of our Defense and Intelligence Team serving the Intelligence Community as our primary customer. + +Job Responsibilities + + +Conceptual, quantitative, organizational, research, writing, verbal communication and graphical representation skills. +Sound judgment and creative problem solving and independent working skills. +Sound interpersonal and teamwork skills to work with individuals and organizations, to include varying levels and types (Government, industry, and academia). +Facilitation skills to bring diverse groups together on issues and reach consensus across stakeholders. +The ability to perform complex analyses and to communicate its results using accurate, concise, and effective writing and through descriptive and graphical representations. +Technical understanding of the systems supporting aspects of the functional areas. +Knowledge of standard tools [e.g., the Sponsor’s various computing networks, Microsoft Office Products], as appropriate; and a demonstrated ability to learn to use and support other tools that may be added or developed as the program evolves. +Flexibility in assisting with ad hoc tasks and in adjusting as tasks are re-prioritized. + + +Job Specifications/Requirements + + +Active TS/SCI security clearance with the required Polygraph +Bachelor’s degree in a technical field (computer science, mathematics, statistics, etc.) with 3 years of relevant experience. +Data Science experience +Python and/or R +Machine Learning/Computer Vision/Object Detection + + +Desired Skills + + +Prior experience with PyTorch, Keras and overhead imagery would be beneficial but not a requirement +Master’s degree in a technical field (computer science, mathematics, statistics etc.) with 1 year of relevant experience +Bachelor’s degree in a technical field (computer science, mathematics, statistics etc.) + + +Mindtris, a minority women-owned enterprise, is at the forefront of digital transformation, technology excellence, and business growth solutions. Specializing in talent mobilization and innovation, we are dedicated to enhancing customer experiences across diverse sectors such as Information Technology, Telecommunications, Healthcare, Engineering, and the Public sector. With a focus on deploying top-tier talent and fostering innovation, we empower businesses to thrive and excel in a rapidly evolving digital landscape, helping them reach new heights of success. + +Mindtris is committed to fostering workforce diversity and is proud to be an equal opportunity employer. +Show more ","
+ + + + + +
+
+ Role : Data Scientist

Location : Maclean, VA (Onsite) or Fort Meade, MD ( Onsite )

Salary : $151K-$180K ( Max-$185K )

Experience level: Mid-senior

Experience required: 3 Years

Education level: Bachelor’s degree

Relocation assistance: No

Visa sponsorship eligibility: No

Clearance Required: TS/SCI with Full Scope Poly

Must Have

  • Active TS/SCI security clearance with the Polygraph
  • Bachelor’s degree in a technical field (computer science, mathematics, statistics, etc.) with 3 years of relevant experience.
  • Data Science experience
  • Python and/or R
  • Machine Learning/Computer Vision/Object Detection
  • Prior experience with PyTorch, keras and overhead imagery would be beneficial but not a requirement
  • Master’s degree in a technical field (computer science, mathematics, statistics etc.) with 1 year of relevant experience
  • Bachelor’s degree in a technical field (computer science, mathematics, statistics etc.)

You will join a skilled team applying cutting edge research in a complex and evolving data environment, develop code to perform complex modeling to detect and characterize objects (using python, TensorFlow, PyTorch and related software packages) and enhance an evolving analytic tradecraft. You will integrate data from a variety of sources, formats and disciplines into coherent databases, train foundation models to advance the Intelligence Community, fine-tune models to address real intelligence questions, and write compelling documentation and reports for decision makers. This position will be part of our Defense and Intelligence Team serving the Intelligence Community as our primary customer.

Job Responsibilities

  • Conceptual, quantitative, organizational, research, writing, verbal communication and graphical representation skills.
  • Sound judgment and creative problem solving and independent working skills.
  • Sound interpersonal and teamwork skills to work with individuals and organizations, to include varying levels and types (Government, industry, and academia).
  • Facilitation skills to bring diverse groups together on issues and reach consensus across stakeholders.
  • The ability to perform complex analyses and to communicate its results using accurate, concise, and effective writing and through descriptive and graphical representations.
  • Technical understanding of the systems supporting aspects of the functional areas.
  • Knowledge of standard tools [e.g., the Sponsor’s various computing networks, Microsoft Office Products], as appropriate; and a demonstrated ability to learn to use and support other tools that may be added or developed as the program evolves.
  • Flexibility in assisting with ad hoc tasks and in adjusting as tasks are re-prioritized.

Job Specifications/Requirements

  • Active TS/SCI security clearance with the required Polygraph
  • Bachelor’s degree in a technical field (computer science, mathematics, statistics, etc.) with 3 years of relevant experience.
  • Data Science experience
  • Python and/or R
  • Machine Learning/Computer Vision/Object Detection

Desired Skills

  • Prior experience with PyTorch, Keras and overhead imagery would be beneficial but not a requirement
  • Master’s degree in a technical field (computer science, mathematics, statistics etc.) with 1 year of relevant experience
  • Bachelor’s degree in a technical field (computer science, mathematics, statistics etc.)

Mindtris, a minority women-owned enterprise, is at the forefront of digital transformation, technology excellence, and business growth solutions. Specializing in talent mobilization and innovation, we are dedicated to enhancing customer experiences across diverse sectors such as Information Technology, Telecommunications, Healthcare, Engineering, and the Public sector. With a focus on deploying top-tier talent and fostering innovation, we empower businesses to thrive and excel in a rapidly evolving digital landscape, helping them reach new heights of success.

Mindtris is committed to fostering workforce diversity and is proud to be an equal opportunity employer. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-12,[] +4100082488,https://www.linkedin.com/jobs/view/data-scientist-at-nyc-department-of-housing-preservation-development-4100082488?position=53&pageNum=0&refId=LUUGJp5%2FlBgJB5H9BEbqgg%3D%3D&trackingId=5Mpn8uxdw1gMOff8CCQJXw%3D%3D,Data Scientist,NYC Department of Housing Preservation & Development,"New York, NY","Join the dynamic team of Performance Tracking and Analytics Department where you will have the opportunity to work on exciting projects with different departments using a variety of tools and datasets. + +NYCHA is the largest public housing authority in North America, providing affordable housing to roughly 1 in 16 New Yorkers. Within NYCHA, Performance Management & Analytics (PMA) provides best-in-class business analytic support to help Executive Staff and Departments successfully execute long-term strategic goals and achieve day-to-day operational effectiveness and efficiency. In addition to serving as the primary reporting and analytics unit within NYCHA, our department also ensures compliance with reporting for HUD and New York City, and promotes a data driven culture that improves decision making at all levels of the Authority. + +The Performance Tracking and Analytics Department (PTAD) within PMA provides support to departments throughout the agency through quantitative data analysis, qualitative research, reporting & analytics, including policy impact forecasting, geospatial analytics, compliance reporting, and research collaborations. + +Duties + +Under general supervision, with wide latitude for independent judgement and initiative, the Data Scientist will review and evaluate databases, systems functionalities, conduct data analyses, and create data visualizations to assist NYCHA departments with various data, research, and reporting needs. The specific duties shall include, but are not limited to the following: + + +Work with the department’s units to review existing databases and processes to improve data reporting and integration across various platforms such as Microsoft Power BI, SAS, ArcGIS, Datawarehouse, etc. +Collaborates with IT technical teams to understand application capabilities, environment set up, determine process for user feedback, and address defects. +Respond to ad hoc internal and external data requests for various administrative data such as work orders, rent collection, occupancy/vacancy, etc. +Assist with the preparation of large datasets of administrative data for mandated reports for the U.S Housing and Urban Development (HUD), and NYCHA's submission for the City's Mayor’s Management Report and Consolidated Plan. +Use statistical and data visualization tools to develop and conduct operations research and investigations using administrative data such as work orders, rent collection, move-in/move-out and transfers, to assess agency operations. +Design studies and investigations, conduct analyses, interpret, and present results using datasets from different systems to create a more complete view of the conditions at NYCHA developments. +Assist with special projects including trend analysis of public housing and Section 8 demographics, survey research, etc. + + +Additional Information + + +NYCHA employees applying for transfer, promotional, title or level change opportunities must have served a period of one year at current location and in current title and level (if applicable). +NYCHA residents are encouraged to apply. + + +Please read this posting carefully to make certain you meet the minimum qualification requirements before applying to this position. + +Minimum Qualifications + + +A baccalaureate degree from an accredited college in computer science, engineering, human computer interaction, interactive media, digital and graphics design, data visualization, communication or a related field, and four years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or +An associate degree from an accredited college in computer science, engineering, human computer interaction, interactive media, digital and graphics design, data visualization, communication or a related field, and six years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or +A baccalaureate degree from an accredited college, and eight years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or +Education and/or experience which is equivalent to ""1"", ""2"", or ""3"" above. + + +Preferred Skills + + +Proficiency with BI software (preferably Microsoft Power BI) and software tools for big data and statistical analyses (e.g. SQL, R, Python, SAS, etc.). 2. Ability to work independently and in a team environment to compile datasets, design & conduct data analyses, provide written interpretations of statistical analyses and to present findings in written reports and oral presentations. 3. Data management skills, including cleaning, aggregating, and matching large data sets for research and reporting. 4. Experience developing analytic plans and conducting statistical analyses. 5. Ability to work under stringent deadlines, manage multiple assignments, and handle sensitive information. 6. Excellent verbal and written communication skills, including the ability to interface well with senior Authority management and external partners. 7. Attention to detail in the presentation of reports, data visualizations, and data sets for distribution. 8. Proficiency in Microsoft Office Excel, Outlook, PowerPoint, Access, and Word. + + +Public Service Loan Forgiveness + +As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education’s website at https://studentaid.gov/pslf/. + +Residency Requirement + +NYCHA has no residency requirements. + +Additional Information + +The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy. +Show more ","
+ + + + + +
+
+ Join the dynamic team of Performance Tracking and Analytics Department where you will have the opportunity to work on exciting projects with different departments using a variety of tools and datasets.

NYCHA is the largest public housing authority in North America, providing affordable housing to roughly 1 in 16 New Yorkers. Within NYCHA, Performance Management & Analytics (PMA) provides best-in-class business analytic support to help Executive Staff and Departments successfully execute long-term strategic goals and achieve day-to-day operational effectiveness and efficiency. In addition to serving as the primary reporting and analytics unit within NYCHA, our department also ensures compliance with reporting for HUD and New York City, and promotes a data driven culture that improves decision making at all levels of the Authority.

The Performance Tracking and Analytics Department (PTAD) within PMA provides support to departments throughout the agency through quantitative data analysis, qualitative research, reporting & analytics, including policy impact forecasting, geospatial analytics, compliance reporting, and research collaborations.

Duties

Under general supervision, with wide latitude for independent judgement and initiative, the Data Scientist will review and evaluate databases, systems functionalities, conduct data analyses, and create data visualizations to assist NYCHA departments with various data, research, and reporting needs. The specific duties shall include, but are not limited to the following:

  • Work with the department’s units to review existing databases and processes to improve data reporting and integration across various platforms such as Microsoft Power BI, SAS, ArcGIS, Datawarehouse, etc.
  • Collaborates with IT technical teams to understand application capabilities, environment set up, determine process for user feedback, and address defects.
  • Respond to ad hoc internal and external data requests for various administrative data such as work orders, rent collection, occupancy/vacancy, etc.
  • Assist with the preparation of large datasets of administrative data for mandated reports for the U.S Housing and Urban Development (HUD), and NYCHA's submission for the City's Mayor’s Management Report and Consolidated Plan.
  • Use statistical and data visualization tools to develop and conduct operations research and investigations using administrative data such as work orders, rent collection, move-in/move-out and transfers, to assess agency operations.
  • Design studies and investigations, conduct analyses, interpret, and present results using datasets from different systems to create a more complete view of the conditions at NYCHA developments.
  • Assist with special projects including trend analysis of public housing and Section 8 demographics, survey research, etc.

Additional Information

  • NYCHA employees applying for transfer, promotional, title or level change opportunities must have served a period of one year at current location and in current title and level (if applicable).
  • NYCHA residents are encouraged to apply.

Please read this posting carefully to make certain you meet the minimum qualification requirements before applying to this position.

Minimum Qualifications

  • A baccalaureate degree from an accredited college in computer science, engineering, human computer interaction, interactive media, digital and graphics design, data visualization, communication or a related field, and four years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or
  • An associate degree from an accredited college in computer science, engineering, human computer interaction, interactive media, digital and graphics design, data visualization, communication or a related field, and six years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or
  • A baccalaureate degree from an accredited college, and eight years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or
  • Education and/or experience which is equivalent to ""1"", ""2"", or ""3"" above.

Preferred Skills

  • Proficiency with BI software (preferably Microsoft Power BI) and software tools for big data and statistical analyses (e.g. SQL, R, Python, SAS, etc.). 2. Ability to work independently and in a team environment to compile datasets, design & conduct data analyses, provide written interpretations of statistical analyses and to present findings in written reports and oral presentations. 3. Data management skills, including cleaning, aggregating, and matching large data sets for research and reporting. 4. Experience developing analytic plans and conducting statistical analyses. 5. Ability to work under stringent deadlines, manage multiple assignments, and handle sensitive information. 6. Excellent verbal and written communication skills, including the ability to interface well with senior Authority management and external partners. 7. Attention to detail in the presentation of reports, data visualizations, and data sets for distribution. 8. Proficiency in Microsoft Office Excel, Outlook, PowerPoint, Access, and Word.

Public Service Loan Forgiveness

As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education’s website at https://studentaid.gov/pslf/.

Residency Requirement

NYCHA has no residency requirements.

Additional Information

The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-13,[] +4084457163,https://www.linkedin.com/jobs/view/data-scientist-product-analytics-at-meta-4084457163?position=54&pageNum=0&refId=LUUGJp5%2FlBgJB5H9BEbqgg%3D%3D&trackingId=T52fg33YczJAj3ykwyhQQg%3D%3D,"Data Scientist, Product Analytics",Meta,"San Francisco, CA","As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. + +Data Scientist, Product Analytics Responsibilities: + + +Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches +Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses +Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends +Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations +Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions + + +Minimum Qualifications: + + +A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) +Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience +Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) + + +Preferred Qualifications: + + +Master's or Ph.D. Degree in a quantitative field + + +About Meta: + +Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. + +Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. + +Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. + +$173,000/year to $242,000/year + bonus + equity + benefits + +Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. +Show more ","
+ + + + + +
+
+ As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Data Scientist, Product Analytics Responsibilities:

  • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
  • Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
  • Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
  • Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
  • Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

Minimum Qualifications:

  • A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
  • Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
  • Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)

Preferred Qualifications:

  • Master's or Ph.D. Degree in a quantitative field

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

$173,000/year to $242,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-11-28,[] +4098844881,https://www.linkedin.com/jobs/view/staff-data-scientist-quality-at-airbnb-4098844881?position=59&pageNum=0&refId=LUUGJp5%2FlBgJB5H9BEbqgg%3D%3D&trackingId=TAwEFROn2THNJvRuIOAmqA%3D%3D,Staff Data Scientist - Quality,Airbnb,United States,"Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. + +The Community You Will Join: + +Our Guest & Host organization is responsible for Airbnb’s web and native apps used by hundreds of millions of our guests and hosts around the world. Our Quality Data Science team sits within the Guest & Host organization and plays a vital role in assessing and improving quality on Airbnb. By crafting data informed strategy through causal inference, experimentation, and building state-of-the-art technology in large language models and reinforcement learning, Airbnb aims to ensure high-quality stays and experiences across our platform. + +The Difference You Will Make: + +You will work to define, measure, and improve the quality of trips for our hosts and guests. You will have a significant impact on developing a ""universal system"" that drives consistent quality across the platform and ensures a seamless and enjoyable offline experience for Airbnb users. + +As a Staff Data Scientist, you will be part of a highly collaborative team with high visibility from Guest & Host and Executive leadership. This cross functional effort is focused on improving the reliability and quality of a guest’s trip, connecting guests with listings that meet their personalized needs and defining and enforcing policy standards. Together, the team you will be joining aims to have a transformative impact. + +A Typical Day: + +Airbnb leverages data science to analyze and improve various aspects of its business, including our work on Quality. As a Staff Data Scientist, you will: + + +Develop models, conduct causal analysis, and design experiments to transform Airbnb's strategy and product for Quality in collaboration with cross-functional teams. +Develop quality measures to empower merchandising and search ranking. +Partner with engineering teams to build Airbnb’s quality measurement foundation. +Provide technical mentorship to other data scientists, guiding them through advanced modeling and inference tasks in the area of Quality. + + +Your Expertise: + + +8+ years industry experience in Data Science. +Background in economics, statistics, and experimentation. A PhD in economics or a related field is valued. +Deep understanding of causal inference, machine learning, predictive modeling, and data-driven product development. +Demonstrated ability to influence and drive change in a cross-functional environment. +Excellent communication skills, with the ability to convey complex concepts to both technical and non-technical stakeholders, and translate detailed results into a compelling narrative. +Proven experience in developing and implementing data-driven strategies to address complex problems and improve business outcomes. +Strategic thinker with a passion for innovation and problem-solving. + + +Your Location: + +This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. + +Our Commitment To Inclusion & Belonging: + +Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. + +We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. + +We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. + +How We'll Take Care Of You: + +Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. + +How We'll Take Care Of You: + +Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. + +Pay Range + +$192,000—$243,000 USD +Show more ","
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+ Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

Our Guest & Host organization is responsible for Airbnb’s web and native apps used by hundreds of millions of our guests and hosts around the world. Our Quality Data Science team sits within the Guest & Host organization and plays a vital role in assessing and improving quality on Airbnb. By crafting data informed strategy through causal inference, experimentation, and building state-of-the-art technology in large language models and reinforcement learning, Airbnb aims to ensure high-quality stays and experiences across our platform.

The Difference You Will Make:

You will work to define, measure, and improve the quality of trips for our hosts and guests. You will have a significant impact on developing a ""universal system"" that drives consistent quality across the platform and ensures a seamless and enjoyable offline experience for Airbnb users.

As a Staff Data Scientist, you will be part of a highly collaborative team with high visibility from Guest & Host and Executive leadership. This cross functional effort is focused on improving the reliability and quality of a guest’s trip, connecting guests with listings that meet their personalized needs and defining and enforcing policy standards. Together, the team you will be joining aims to have a transformative impact.

A Typical Day:

Airbnb leverages data science to analyze and improve various aspects of its business, including our work on Quality. As a Staff Data Scientist, you will:

  • Develop models, conduct causal analysis, and design experiments to transform Airbnb's strategy and product for Quality in collaboration with cross-functional teams.
  • Develop quality measures to empower merchandising and search ranking.
  • Partner with engineering teams to build Airbnb’s quality measurement foundation.
  • Provide technical mentorship to other data scientists, guiding them through advanced modeling and inference tasks in the area of Quality.

Your Expertise:

  • 8+ years industry experience in Data Science.
  • Background in economics, statistics, and experimentation. A PhD in economics or a related field is valued.
  • Deep understanding of causal inference, machine learning, predictive modeling, and data-driven product development.
  • Demonstrated ability to influence and drive change in a cross-functional environment.
  • Excellent communication skills, with the ability to convey complex concepts to both technical and non-technical stakeholders, and translate detailed results into a compelling narrative.
  • Proven experience in developing and implementing data-driven strategies to address complex problems and improve business outcomes.
  • Strategic thinker with a passion for innovation and problem-solving.

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care Of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

How We'll Take Care Of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range

$192,000—$243,000 USD +
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