Associated Designations
AIAF™ – Associate in Insurance Accounting and FinanceInsurance Data Analyst
Sector: Actuarial Science & Modeling • Specialty & Technical
🧭 Role Overview
An Insurance Data Analyst supports underwriting, claims, actuarial, and product teams by preparing, analyzing, and interpreting insurance data. This role focuses on data quality, reporting, trend identification, and foundational analytics that enable more advanced modeling and business decisions.
Insurance data analysts often serve as the bridge between raw data and strategic insight, ensuring that datasets are accurate, complete, and ready for actuarial or predictive modeling use.
📌 Core Responsibilities
- Clean, validate, and structure insurance datasets for analysis and modeling.
- Develop reports and dashboards for underwriting, claims, and product teams.
- Analyze loss trends, frequency/severity patterns, and portfolio performance.
- Support actuarial teams with data preparation for pricing and reserving studies.
- Assist predictive analytics teams with feature engineering and dataset creation.
- Ensure data governance, documentation, and auditability.
🛠️ Key Skills
- SQL and data querying
- Data cleaning and transformation
- Basic statistical analysis
- Dashboarding (Power BI, Tableau, Qlik)
- Understanding of insurance data structures (policy, claims, exposure)
- Collaboration with actuarial and underwriting teams
🎓 Typical Background
- Degrees in statistics, mathematics, economics, actuarial science, or related fields
- Experience with insurance datasets (policy, claims, premium, exposure)
- Entry‑level analytics or actuarial support experience
