HR Analytics Dashboard

This project showcases an advanced HR analytics tool designed to empower organizations to move beyond simple data administration and towards effective talent strategy leadership. This dashboard doesn't just present numbers; it translates them into actionable performance indicators and uncovers deep patterns within workforce data, providing a solid foundation for proactive and informed decision-making. Strategic Objectives of the Dashboard: ​Enable Holistic Visibility: To provide a centralized, continuously updated view of workforce health, replacing reliance on disparate and manual reports. ​Monitor Talent Retention: To shift from a reactive approach to employee resignations to proactively monitoring turnover rates and identifying at-risk departments or employee segments. ​Support Diversity & Inclusion (D&I) Initiatives: To analyze workforce demographics to ensure a diverse environment and support succession planning. ​Improve Operational Efficiency: To equip department managers with the necessary data to make better decisions regarding resource allocation and workforce planning. Core Analytical Capabilities: ​Performance Cockpit: An instant display of vital KPIs such as total headcount, net employee growth, and annual turnover rate, providing a real-time "pulse" of the organization. ​Retention & Attrition Analysis: Precisely measures employee departures with the ability to segment by department and age group to understand the root causes of talent loss. ​Workforce Demographics Analysis: Advanced visualizations illustrating the distribution of employees by gender, age, and department, supporting strategic talent planning. ​Historical Hiring Trend Analysis: Uncovers seasonal patterns and growth cycles in recruitment, helping to forecast future needs and plan budgets effectively. ​Customized Analytical Experience: Advanced interactive filters that empower even non-technical users to drill down into the data and explore specific insights related to their own teams or departments. Technical Solutions Implemented (Technical Stack): ​Microsoft Power BI: Utilized as the primary platform for data modeling and developing advanced interactive visualizations. ​Power Query (ETL): Implemented for the Extract, Transform, and Load processes, ensuring the highest levels of data accuracy and reliability for the analysis.