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.

🔹 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.

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.

✅ 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.