This project presents an HR Analytics Dashboard designed to analyze employee attrition trends and uncover key workforce insights. Using Tableau, raw HR data was transformed into meaningful visualizations to support data-driven HR decision-making.
The main objectives of this project are to:
- Analyze employee attrition patterns
- Identify key factors contributing to workforce turnover
- Help organizations improve employee retention strategies
Employee attrition has a significant impact on productivity, morale, and recruitment costs.
In this project, I built an interactive Tableau dashboard that highlights attrition trends across departments, gender, work-life balance, and experience levels, enabling HR teams to take proactive actions.
-
Overall Attrition
- 237 employees have left the organization
- 1,233 employees are currently retained
-
Department-Wise Attrition
- R&D shows the highest attrition with 133 employees
- Sales follows with 92 employees
-
Gender-Based Analysis
- Higher attrition among male employees (150)
- Female attrition count stands at 87
-
Work-Life Balance Impact
- Employees with poor work-life balance (rating = 1) show the highest attrition
-
Experience-Based Trends
- Employees with 0–2 years of experience are most likely to leave
- Highlights the need for better onboarding and early retention strategies
- Tableau
- HR Analytics Dataset
- Data Visualization
- Business Intelligence Concepts
This dashboard enables HR teams to:
- Identify high-risk employee groups
- Understand key attrition drivers
- Design targeted retention and engagement strategies
- Reduce hiring and training costs through proactive insights
- Explore predictive attrition modeling
- Enhance dashboard with additional HR metrics
- Integrate advanced workforce analytics
- Continue strengthening skills in data visualization and business intelligence
⭐ If you find this project useful, feel free to star the repository!
Happy Learning & Analyzing 📊✨