Find the Right Insurance Designation to Advance Your Career

Data Analyst (Insurance)

Role Summary

Insurance Data Analysts collect, clean, and interpret data to support underwriting, claims, pricing, marketing, and operational decisions. They help insurers turn raw data into actionable insights, working closely with actuaries, product teams, and business leaders. This role is essential as insurers adopt advanced analytics, automation, and predictive modeling.

Core Responsibilities

  • Gather and clean data from internal and external sources
  • Build reports, dashboards, and visualizations
  • Analyze trends in claims, underwriting, and customer behavior
  • Support predictive modeling and data‑driven initiatives
  • Collaborate with actuarial, underwriting, and operations teams
  • Ensure data quality and documentation
  • Present findings to stakeholders

Key Skills

  • Data analysis and visualization
  • SQL, Python, R, or similar tools
  • Understanding of insurance data structures
  • Problem‑solving and critical thinking
  • Communication and storytelling with data
  • Attention to detail

Common Designations

  • AINS (Associate in General Insurance)
  • Data analytics certificates (non‑designation, but common)
  • CERA (for ERM‑aligned analysts)

Industry Context

Data Analysts are central to modern insurance operations, supporting everything from pricing and claims to customer experience and automation.

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