• 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).

QUALIFICATIONS REQUIRED:

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• 0–3 years of experience in data science, analytics, or insurance-related projects (academic or professional).
• Familiarity with data tools such as SQL, Python, R, or SAS.
• Familiarity with Data warehouse techniques and practices
• Hands on any data warehouse product
• Exposure to data visualization tools (e.g., Power BI, Tableau).
• Strong attention to detail, curiosity, and willingness to learn industry-specific data concepts.
• Ability to work independently and collaboratively with cross-functional teams.