HR Dashboard Project

About the Project

This project focuses on analyzing and visualizing employee data using a Power BI dashboard. It provides insights into workforce demographics, service years, performance metrics, and more, enabling HR departments to make informed decisions.

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Objectives

1. Visualize employee demographics and performance metrics for data-driven decision-making.
2. Identify trends in employee tenure, age distribution, and hiring/termination patterns.
3. Support HR teams in improving employee retention and development.

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Dataset Overview

The dataset (HumanResources_Data.csv) contains information on employees, including:

  (https://github.com/mayur-42/Human-Resource-Analysis/blob/main/HumanResources_Data.csv)

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Analysis Highlights

Key findings from the analysis:

Total Workforce Overview

• Total Employees: 8,950.
• Gender Distribution: 54% Male, 46% Female.

Service Years Distribution

• Most employees have 1-2 years of service.
• Employees with less than 3 years show higher turnover rates.

Performance and Termination Trends

• "Good" performers experience the highest termination rates.
• "Needs Improvement" employees have lower termination rates.

Age Group Distribution

• Largest group: 25–44 years.
• Young employees (18–24 years) are underrepresented.

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Tools & Technologies Used

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Results

1. Clear visualization of workforce demographics.
2. Identification of retention risks and performance improvement areas.
3. Insights into hiring and termination trends.

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Insights Gained

1. Retention Focus:
   • Address early turnover among employees with less than 3 years of service.
2. Performance Improvement:
   • Provide training to "Needs Improvement" employees.
3. Demographic Strategy:
   • Target younger age groups to ensure long-term workforce stability.
4. Inclusivity:
   • Gender balance reflects positive diversity efforts.