Data Analyst

Role Overview

A Data Analyst transforms raw data into actionable insights that support underwriting, claims, actuarial work, marketing, operations, and enterprise strategy. They clean, analyze, and visualize data to identify trends, measure performance, and support decision‑making across the insurance value chain. Data Analysts often serve as the bridge between business teams and technical teams, ensuring data is accurate, accessible, and used effectively.

Core Responsibilities

• Collect, clean, and validate data from internal and external sources.
• Build dashboards, reports, and visualizations to communicate insights.
• Analyze trends in claims, underwriting, customer behavior, and financial performance.
• Support actuarial, underwriting, and risk teams with data-driven analysis.
• Collaborate with IT and data engineering to improve data quality and accessibility.
• Perform ad hoc analyses to support strategic initiatives.
• Document methodologies and maintain data governance standards.

Relevant Designations

• CIDA
• CPCU
• CERA
• AINS

Sectors Where This Role Appears

• Property & Casualty
• Life & Health
• Reinsurance
• Risk Management
• Cyber Insurance

Role Family

Risk & Analytics

Related Roles

• Risk Analyst
• Actuary
• Operations Analyst
• Reinsurance Analyst

Quick Facts

• Typical seniority: Analyst to senior analyst; advancement into data science or analytics leadership.
• Common employers: Carriers, reinsurers, MGAs, consulting firms, large enterprises.
• Common synonyms: Reporting Analyst, Business Analyst, Data Reporting Specialist.
• Education: Bachelor’s degree in statistics, data science, economics, or related fields.
• Experience range: 1–10+ years depending on technical depth and domain expertise.
• Remote-work likelihood: Extremely high; data roles are among the most remote-friendly.
• Key skills: SQL, Python, Excel, BI tools, data visualization, statistical analysis.