Atlas Lab is a fictitious software company. In this project, I analyzed data provided by the HR Department with the aim of understanding the factors leading to employee turnover. After cleaning and preparing the data, I created interactive Power BI dashboards to visualize key metrics like attrition rates, job satisfaction, and work-life balance.
The analysis revealed that certain job roles and employees with low satisfaction scores had higher attrition rates. Employees with less than three years of tenure were more likely to leave, indicating a need for better onboarding and career development programs. Demographic factors like age and marital status also played a role, with younger and single employees showing a higher likelihood of leaving.
The interactive dashboards allowed the HR department to filter and explore these insights, providing valuable information for strategic decision-making. Ultimately, the project helped identify actionable steps for improving employee retention and reducing turnover, with a focus on employee well-being and satisfaction.
Download the dataframes here.
