Employee Retention Analysis

I used hashtag#PowerBI to explore the factors impacting employee retention and performance within the company! This project dives into employee behavior, pinpoints why some employees leave, and identifies strategies to enhance retention.

Project Aim: Through comprehensive data analysis, I aimed to uncover trends and factors that impact employee retention and offer insights into ways to improve the work environment.

Key Insights:

Negative Factors:

Younger employees (21 and below) and those with shorter tenure (<2 years) tend to leave more often.

Overtime work significantly impacts turnover; employees working overtime are 3x more likely to leave.

Sales roles and part-time positions show higher turnover due to role-specific challenges and pay differences.

Long commutes (11+ km) also impact employee satisfaction and retention.

Positive Factors:

Full-time employees and those with longer tenure (>2 years) show more stability.

Older employees (33+ years) and those with shorter commutes are more likely to stay.

Employees with consistent management experience better retention rates.

Strategic Recommendations:

Develop mentorship and training programs for younger employees to build loyalty.

Improve incentives for new hires and provide competitive pay for part-time roles.

Reevaluate overtime policies and enhance pay equality.

Offer remote work options to reduce commute strain and improve work-life balance.

Implementing these strategies can boost retention and drive performance, fostering a more satisfied, stable workforce.