Understanding Workforce Dynamics: An Integrated Approach Using Demographic Analysis, HR Metrics, and Survival Analysis

Abstract

This study analyzes the demographic distribution and key HR metrics of 190 employees using systematic data collection, categorization, and analysis. The methodology identifies patterns in relationships between demographic factors and job roles, such as younger employees in entry-level positions and mid-level roles among the 25-34 age group. A correlation analysis explores the relationships between demographic attributes and critical HR metrics like job satisfaction, turnover rates, and productivity. The analysis reveals weak correlations, suggesting a need for further investigation or additional data. Comparative analysis benchmarks these HR metrics against industry standards, providing insights into areas for improvement. An employee engagement analysis and root cause analysis are performed to understand factors affecting HR metrics, identify key drivers of engagement and satisfaction, and uncover underlying issues. Strategic recommendations are developed, including initiatives to improve job satisfaction, reduce turnover, and enhance employee engagement. Cluster stability is assessed using K-Means clustering, Bootstrap Analysis, and Silhouette Analysis. Survival analysis techniques, such as Kaplan-Meier estimation and Cox Proportional Hazards modeling, are applied to study employee retention and promotion timing. The findings inform strategic HR decisions and highlight areas for improvement in managing workforce dynamics.