This Employee Attrition Analysis Dashboard, developed for PagerDuty, provides real-time insights into workforce turnover, helping HR teams and decision-makers identify trends, assess risk factors, and implement proactive retention strategies. By leveraging data-driven analytics, this solution empowers organizations to reduce employee churn, optimize workforce planning, and improve overall retention rates.
What It Does & Focuses On
πΉ Real-Time Attrition Monitoring β Tracks workforce changes across departments, roles, and tenure.
πΉ Predictive Analytics & Risk Assessment β Uses machine learning models to forecast employee churn.
πΉ Automated Data Processing β Integrates with HR systems for real-time updates.
πΉ Interactive Dashboards β Visualizes workforce trends, retention rates, and exit reasons.
πΉ Custom HR Metrics & KPIs β Tailored insights to align with PagerDutyβs workforce strategies.
Technology Stack
Power BI β Interactive dashboard development & data visualization.
SQL β Data extraction, transformation, and querying.
Python (for Predictive Modeling) β Employee churn analysis & forecasting.
Excel β Data preprocessing and structured reporting.
HR Database/API Integration β Seamless data connection for automated updates.
Key Benefits
β Predict & Prevent Attrition β Identify employees at risk of leaving and address concerns early.
β Data-Driven Decision Making β Gain actionable insights into employee turnover patterns.
β Reduce Hiring & Training Costs β Improve retention and workforce stability.
β Custom Reporting & Alerts β Automated insights tailored to PagerDutyβs business needs.
β Enhanced HR Efficiency β Streamlined workforce analytics for better decision-making.
Research & Development
Sales
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Posted Mar 5, 2025
Developed a Power BI dashboard for PagerDuty to analyze workforce attrition, predict employee churn, and enhance retention strategies using data-driven insights