This repository showcases a Power BI dashboard built using IBM HR Analytics data. The dashboard provides insights into key questions around employee attrition, performance, and workforce trends.
This Power BI dashboard analyzes IBM HR Analytics data to uncover the main factors contributing to employee attrition. The goal is to help organizations identify patterns and take proactive steps to improve employee retention.
- Age & Salary: Employees leaving are typically aged 35–37 years, with an average salary of $6.5K.
- Departmental Trends: The Research & Development department shows the highest attrition (133 employees, 56.1%).
- Employee Satisfaction: HR employees reported the lowest satisfaction levels.
- Job Roles: Lab Technicians experience the highest attrition (60+ employees).
- Experience Levels: Attrition is most common among employees with less than 1 year of experience.
- Education Background: Employees from Life Sciences and Medical fields show the highest attrition rates.
- Gender Trends: Male attrition rate (17%) is slightly higher than female attrition rate (14.5%).
These insights reveal critical employee segments at risk of leaving, highlighting the need for targeted interventions in career development, employee satisfaction, and departmental support. By addressing these areas, organizations can reduce turnover, improve morale, and strengthen workforce stability.