P&C Data Analyst

Role Overview

The P&C Data Analyst supports the development and improvement of analytical models and insights that inform pricing, underwriting, and portfolio management decisions. This role applies data analysis techniques to insurance data to improve risk segmentation and rate adequacy, supporting profitable growth across products and locations.

What You Will Do

Support pricing analyses, rate reviews, segmentation evaluations, portfolio monitoring, and performance assessments across Personal and Commercial Lines products. Analyze trends in frequency, severity, retention, growth, profitability, and other key insurance performance metrics.

Why It Might Be a Fit

This role requires strong analytical thinking, problem-solving, and communication skills, as well as experience working with large, complex datasets and proficiency in analytical programming languages and tools.

Requirements

• Bachelor’s degree in mathematics, statistics, actuarial science, computer science, data science, or a related quantitative field
• Two to four years of relevant experience in data science, analytics, actuarial support, or related quantitative roles
• Proficiency in analytical programming languages and tools (e.g., SQL, Python, R)
• Experience working with large, complex datasets
• Strong analytical thinking, problem-solving, and communication skills
• Strong diligence and commitment to data quality

Benefits

• Competitive compensation package
• Performance-based incentives
• Comprehensive benefits program
• Health insurance
• Dental insurance
• Vision insurance
• 401(k) with company match
• Paid time off
• Professional development opportunities

Tagged as: Data Analysis