- Assist in building data warehouse, dashboards, and reporting tools for actuarial, claims, and underwriting teams.
- Collaborate with business units to develop data-driven insights for loss prevention and reserve modeling.
- Clean, organize, and merge structured data from internal and third-party sources.
- Write queries and scripts using SQL and Python or R to extract and analyze data efficiently.
- Ensure data integrity and accuracy in reports and data feeds used for compliance, audit, and strategic planning.
- Analyze claims, policy, and exposure data to identify trends in injury types, loss costs, and claim durations.
- Apply basic statistical techniques or predictive models to support pricing, claims triage, or fraud detection.
PREFERRED SKILLS (Not Required)
- Knowledge of workers’ compensation insurance and claims workflows
- Internship or project experience in insurance analytics, risk modeling, or predictive modeling.
- Understanding of regulatory reporting and industry data sources (e.g., NCCI, ISO).