P&C Data Analyst: Pricing, Modeling & Insights

Brookfield Wealth Solutions, Ltd; Chicago (IL); On-site; USD 68,000 - 95,000; Full time

Benefits offered by this job

Competitive pay

Incentives

Health benefits

401(k) match

Paid time off

Professional development

Job summary

Farm Family is seeking a P&C Data Analyst to support pricing analytics, risk segmentation, and portfolio management decisions. You will work with pricing actuaries, underwriting, claims, distribution, and data experts to translate business questions into analytical solutions and monitor performance over time.

You will handle large datasets with SQL and analytical languages (Python or R), ensure data quality, and contribute to model development and performance reporting across Personal and

Qualifications

• Bachelor’s degree in a quantitative field is required.
• 2–4 years in data science, analytics, actuarial support, or related roles; Master’s may substitute for 1–2 years.

Responsibilities

• Support pricing analyses, rate reviews, segmentation evaluations, and portfolio monitoring across Personal and Commercial Lines.
• Analyze trends in frequency, severity, retention, growth, profitability, and other performance metrics.
• Collaborate with actuaries, underwriting, and product teams to identify challenges and data-driven recommendations.
• Assist in evaluating impact of underwriting, pricing, and product changes on performance.
• Develop recurring and ad hoc analyses to inform strategic decisions.

Skills

SQL

Python

R

Analytical thinking

Communication

Data quality

Education

Bachelor's degree in mathematics, statistics, actuarial science, computer science, data science, or related field

Tools

SQL

Python

R

Job description

Farm Family is seeking a P&C Data Analyst to support pricing analytics, risk segmentation, and portfolio management decisions. You will work with pricing actuaries, underwriting, claims, distribution, and data experts to translate business questions into analytical solutions and monitor performance over time.

You will handle large datasets with SQL and analytical languages (Python or R), ensure data quality, and contribute to model development and performance reporting across Personal and