P&C Data Analyst: Pricing & Underwriting Insights

Argonaut Management Services, Inc; Chicago (IL); On-site; USD 68,000 - 95,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

401(k) with company match

Job summary

Farm Family seeks a P&C Data Analyst to support pricing analytics, underwriting insights, and portfolio management decisions. You will work with pricing actuaries, underwriting, claims, and IT to translate business questions into analytical solutions and monitor performance.

Responsibilities include pricing analyses, trend evaluation, and creating data-driven recommendations, with emphasis on data quality, modeling, and governance practices within P&C insurance.

Qualifications

• Bachelor's degree in a quantitative field is required.
• 2–4 years of relevant data science, analytics, actuarial support experience.
• Proficiency in SQL, Python, or R and handling large datasets.
• Strong analytical thinking, communication, and data quality focus.

Responsibilities

• Support pricing analyses, rate reviews, segmentation evaluations and portfolio monitoring.
• Analyze trends in frequency, severity, retention, growth, profitability, and other metrics.
• Collaborate with actuarial, underwriting, product teams to address business challenges.
• Assist in evaluating impact of pricing and product changes on performance.
• Develop recurring and ad hoc analyses to aid decisions.

Skills

Data analysis

Statistical thinking

Communication

Problem solving

Education

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

Master's degree may be considered in lieu of 1–2 years of experience

Tools

SQL

Python

R

Job description

Farm Family seeks a P&C Data Analyst to support pricing analytics, underwriting insights, and portfolio management decisions. You will work with pricing actuaries, underwriting, claims, and IT to translate business questions into analytical solutions and monitor performance.

Responsibilities include pricing analyses, trend evaluation, and creating data-driven recommendations, with emphasis on data quality, modeling, and governance practices within P&C insurance.