Engagement Analytics and Employee Retention: Challenges and Opportunities

Abstract : Employee retention is one of the major challenges for organizations, especially in IT sector, where high turnover rates can impact performance and increase costs. This study explores the role of engagement analytics in mediating the relationship between overtime, Job Satisfaction, and employee attrition. Utilizing secondary data from Kaggle and with the help of python’s libraries like Numpy, Pandas, Seaborn, Scipy stats, matplotlib and Networkx for analysis and visualizations, the study conducts correlation analysis to determine whether Job Satisfaction affects employee engagement to find that Job satisfaction is positively associated with engagement levels and mediation analysis among Overtime and employee attrition keeping engagement as a mediating variable to find that engagement has a minimal mediating effect on attrition whereas overtime highly positively affect attrition. The study leaves scope for further research governing unexplored factors affecting engagement and retention through primary data. The study also informs about the opportunities and challenges of integrating engagement analytics in driving employee retention.