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Brookfield

P&C Data Analyst

Place: Omaha, NE · New York City, NY · Albany, NY · Richmond, VA · Chicago, IL
Pay: $68k to $95k
Posted: Today

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Applies on brookfield.wd5.myworkdayjobs.com

The role

Company

Farm Family

Farm Family specializes in farm and ranch protection with a wide range of products including flexible farm packages, business owner policies, commercial package, workers compensation, commercial auto and select personal auto coverage. Farm Family is a leader in serving the Northeast and Mid-Atlantic markets and is pursuing growth across the U.S. The Farm Family entities are wholly-owned subsidiaries of Clearbrook Group Holdings Inc.

Job Description

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.

The P&C Data Analyst works closely with pricing actuaries, underwriting, claims, distribution, product partners, data experts, and IT professionals to translate business questions into analytical solutions and monitor performance over time. This role operates with moderate independence while receiving guidance on more complex problems.

Key Responsibilities

Pricing & Insurance Analytics

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

Partner with actuarial, underwriting, and product teams to identify business challenges and develop data-driven recommendations

Assist in evaluating the impact of underwriting, pricing, and product changes on business performance

Develop recurring and ad hoc analyses that support strategic and operational decision-making

Data & Technical Skills

Work with large, structured and semi‑structured datasets using SQL and analytical programming languages (e.g., Python or R)

Ensure data quality, reproducibility, and proper documentation of models, assumptions, and results

Support adherence to model development best practices and model risk governance standards

Advanced Analytics & Data Science Support

Support data science and predictive modeling initiatives through data preparation, feature development, exploratory analysis, and model performance reporting

Collaborate with data scientists and actuarial partners on analytical projects involving risk segmentation, predictive modeling, and portfolio optimization

Develop foundational skills in statistical analysis, predictive modeling, and analytical programming

Participate in testing, monitoring, and implementation of analytical models and business rules

Contribute to the evaluation of new data sources and analytical techniques that improve pricing and underwriting decisions

Business Partnership & Communication

Collaborate with actuarial, underwriting, distribution, and product stakeholders to define analytical questions and success criteria

Translate technical analyses into clear, actionable insights using appropriate visualizations and written summaries

Respond to feedback and iterate on analyses to better support business decisions

Partner with technical teams to support implementation of analytical and reporting solutions

Continuous Improvement

Identify opportunities to improve reporting processes, data quality, analytical efficiency, and business insights

Stay current on industry trends, pricing methodologies, and analytical best practices within P&C insurance

Contribute ideas for improving models, processes, and data usage within the pricing analytics function

Required Qualifications

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 A master’s degree may be considered in lieu of one to two years of experience

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

Preferred Qualifications

Experience in Property & Casualty insurance, preferably supporting actuarial, underwriting, claims, or product

Familiarity with statistical analysis, predictive modeling, or machine learning concepts

Experience with data lineage, data mapping, validation, and reconciliation processes

Exposure to cloud-based analytics platforms and modern data environments

Understanding of insurance data structures, coverages, rating variables, and policy lifecycle processes

Experience working in Agile or cross-functional project environments

The base salary range provided below is for hires in those geographic areas only and will be commensurate with candidate experience. Pay ranges for candidates in other locations may differ based on the cost of labor in that location.

Albany, Richmond & Chicago Pay Range $68,000 - $95,000

New York City Pay Range $70,000 - $98,000

PLEASE NOTE:

Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas.

If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at 210-321-8400.

Benefits and Compensation

We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program—including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.

Core Values

At Clearbrook our Core Values are Integrity, Collaboration, Pursuit of Excellence and Forward Thinking. These values reflect who we are today and who we aspire to be - guiding how we work, how we lead and how we succeed.