P&C Data Analyst
The P&C Data Analyst at Confidential Client is responsible for developing and enhancing analytical models and insights to support pricing, underwriting, and portfolio management decisions within Property & Casualty insurance. This role involves working with large datasets using SQL and programming languages like Python or R, collaborating with actuarial and business teams to translate complex data into actionable insights, and supporting advanced analytics and data science initiatives to drive profitable growth. The position is onsite and requires strong analytical, communication, and data quality skills to improve risk segmentation and rate adequacy across multiple product lines and locations.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Insurance & Financial Services.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Role Summary
The Confidential Client is hiring a P&C Data Analyst to support pricing, underwriting, and portfolio management by producing data-driven insights and supporting predictive modeling efforts. This is an onsite position in Richmond, VA. The role partners closely with actuaries, underwriters, claims, product, distribution, and data/IT teams to translate business questions into analytical solutions and monitor outcomes.
What You’ll Do
- Support pricing analyses, rate reviews, segmentation evaluations, and portfolio monitoring across Personal and Commercial Lines.
- Analyze trends in frequency, severity, retention, growth, and profitability to inform business decisions.
- Prepare data, develop features, and run exploratory and production analyses to support predictive modeling efforts.
- Work with SQL and analytical programming languages (Python or R) to query, transform, and analyze large structured and semi-structured datasets.
- Produce recurring and ad-hoc reports and dashboards that clearly communicate findings and recommended actions.
- Ensure data quality, reproducibility, and documentation of models, assumptions, and results; support model governance standards.
- Collaborate with data scientists, actuaries, and product partners on analytic projects involving risk segmentation and portfolio optimization.
- Contribute to the evaluation and onboarding of new data sources and analytic techniques to improve pricing and underwriting decisions.
Qualifications
- Bachelor’s degree in mathematics, statistics, actuarial science, computer science, data science, or a related quantitative field.
- 2–4 years of relevant experience in analytics, actuarial support, or quantitative roles (a master’s may substitute for 1–2 years of experience).
- Proficiency with SQL and at least one analytical programming language (Python or R).
- Experience working with large, complex datasets and strong attention to data quality.
- Strong analytical thinking, problem-solving, and written/verbal communication skills.
- Ability to translate technical analyses into clear, actionable recommendations and visualizations.
Preferred Qualifications
- Experience in Property & Casualty (P&C) insurance supporting pricing, actuarial, underwriting, claims, or product groups.
- Familiarity with statistical analysis, predictive modeling, or machine learning concepts.
- Experience with cloud-based analytics platforms and modern data environments.
- Knowledge of insurance data structures, rating variables, and policy lifecycle processes.
- Experience with data lineage, validation, mapping, and reconciliation processes.
- Comfortable working in Agile or cross-functional project teams.
Location & Compensation
- Work location: Onsite — Richmond, VA.
- Base salary range for Richmond, VA: $68,000 - $95,000 (final offer commensurate with experience).
Why Apply via Careertakes
Careertakes is a third-party recruiting platform helping match qualified candidates to this Confidential Client opportunity in Insurance & Financial Services. If you move forward in the process, Careertakes may share additional matched roles that fit your background.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
Negotiate a higher salary! Check the salary ranges for this job type in your area.
View My Salary Range