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Analyzed employee attrition and workforce data using sql and power bi to identify hr trends and retention risk factors.

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HR Analytics Dashboard (SQL Server & Power BI)

This project focuses on analyzing employee attrition using SQL Server and Power BI. The objective was to understand workforce trends and identify key factors contributing to employee attrition through data-driven insights.

The project follows a simple and practical workflow, starting from raw data exploration in SQL to building an interactive dashboard in Power BI.


πŸ›  Tools & Technologies

  • SQL Server
  • Power BI
  • IBM HR Analytics Dataset

πŸ“Š Project Workflow

  1. Imported HR employee data into SQL Server
  2. Performed initial data exploration using SQL queries
  3. Created derived columns such as:
    • Age Groups
    • Attrition Flag
  4. Used SQL to calculate key HR metrics like:
    • Total employees
    • Attrition count and attrition rate
    • Department-wise and age group-wise attrition
  5. Connected Power BI directly to SQL Server
  6. Built an interactive dashboard to visualize insights

πŸ” Key Insights

  • Overall employee attrition rate across the organization
  • Departments with higher employee turnover
  • Age groups more affected by attrition
  • Gender distribution of employees
  • Relationship between job satisfaction and attrition

πŸ“ˆ Dashboard Preview

HR Analytics Dashboard


πŸ“‚ Repository Structure

HR-Analytics-SQL-PowerBI/ β”‚ β”œβ”€β”€ sql/ β”‚ └── hr_analysis.sql β”‚ β”œβ”€β”€ powerbi/ β”‚ └── HR_Analytics_Dashboard.pbix β”‚ β”œβ”€β”€ images/ β”‚ └── dashboard.png β”‚ └── README.md


πŸ“Œ Notes

  • All data transformations and calculations were handled using SQL
  • Power BI was primarily used for visualization and interactivity
  • The project is designed to reflect a real-world beginner-level data analytics workflow

πŸ‘€ Author

Devendra Patil

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Analyzed employee attrition and workforce data using sql and power bi to identify hr trends and retention risk factors.

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