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
🔹 Real-Time Attrition Monitoring – Tracks workforce changes across departments, roles, and tenure.
🔹 Predictive Analytics & Risk Assessment – Uses machine learning models to forecast employee churn.
🔹 Automated Data Processing – Integrates with HR systems for real-time updates.
🔹 Interactive Dashboards – Visualizes workforce trends, retention rates, and exit reasons.
🔹 Custom HR Metrics & KPIs – Tailored insights to align with PagerDuty’s workforce strategies.
Technology Stack
Power BI – Interactive dashboard development & data visualization.
SQL – Data extraction, transformation, and querying.
Python (for Predictive Modeling) – Employee churn analysis & forecasting.
Excel – Data preprocessing and structured reporting.
HR Database/API Integration – Seamless data connection for automated updates.
Key Benefits
✅ Predict & Prevent Attrition – Identify employees at risk of leaving and address concerns early.
✅ Data-Driven Decision Making – Gain actionable insights into employee turnover patterns.
✅ Reduce Hiring & Training Costs – Improve retention and workforce stability.
✅ Custom Reporting & Alerts – Automated insights tailored to PagerDuty’s business needs.
✅ Enhanced HR Efficiency – 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