Numbers don't lie. In the world of HR Analytics, data is the compass that guides us to understand employee behavior.
I recently worked on an HR Attrition Analysis project with one main goal: to answer the million-dollar question: "Why do employees leave?"
By analyzing the dataset and building the attached dashboard, I uncovered several interesting insights:
1️⃣ The Age Factor: The data clearly indicates that the age group (18-25) is the most likely to leave, which calls for different engagement and development strategies for this demographic.
2️⃣ Satisfaction & Environment: There is a clear direct correlation between Environment Satisfaction and retention rates. Happy environment = Higher retention.
3️⃣ Work Pressure: OverTime emerged as a major trigger for the decision to resign for a significant segment of employees.
💡 The Bottom Line: Data Analysis isn't just about colorful charts; it's a strategic tool that helps decision-makers improve work culture, reduce turnover, and save significant costs.