Senior Analyst, Product Research

Description

At Liberty, our Personal Lines Property & Specialty Product team partners across the company to design and launch home and specialty insurance solutions — from homeowners (property) and condos to renters and other niche lines (specialty)— that meet evolving customer and agent needs. We focus on preparing and executing program rollouts, delivering on our growth roadmap, and modernizing pricing and the technology that supports the work we do. Organized into five functions—State Management, Development, Delivery, Underwriting Effectiveness, and Specialty—we collaborate closely to meet our goals and help customers feel secure today and confident about tomorrow.

 

The Property & Specialty Underwriting Effectiveness team is looking for a technically inclined analyst (Analyst or Senior Analyst) to help support and scale our underwriting analytics and data capabilities. As part of the Model Sophistication team, this role will focus on maintaining clean, reliable datasets and assisting with data analysis that supports underwriting strategy, segmentation, and program management.

 

This role will use tools such as SQL, Python, and R to work hands-on with scheduled and ad hoc data processes, querying/transforming data and supporting analytical workflows. You’ll collaborate closely with analysts and partners across other team like State Management, Distribution, and Delivery to ensure data is accurate, accessible, and actionable.

 

We’re looking for someone who enjoys digging into data, writing scripts, improving processes, and learning new tools. The specific level (Analyst or Senior Analyst) will depend on experience, but an eagerness to learn and grow is the most important qualification. This is an opportunity for a technically curious analyst who wants to build out their skillset and be part of evolving how analytics work is done.

 

**This position may have in-office requirements depending on candidate location.**

 

**This is a ranged G13/G15 posting and level offered will be based on candidate experience at manager discretion.**  

Responsibilities

• Develop and maintain scripts and analytical workflows using tools such as Python and/or R.
• Assist with ad hoc and recurring data analysis to support underwriting strategy.
• Shared ownership of an underwriting-focused suite of PowerBI dashboards and datasets.
• Shared ownership of tools used in underwriting model calibrations, adjustments, and monitoring
• Write and maintain SQL queries, including scheduled queries and data quality checks.
• Develop and maintain clean, well-documented datasets
• Partner with analysts and stakeholders to understand data needs and translate them into reliable, usable data solutions.
• Identify opportunities to improve data processes, tooling, and analytical efficiency.
• Serve as a technical resource for teammates by sharing best practices and helping others work more effectively with data.
• Contribute to the team’s exploration and adoption of AI-enabled analytics, including emerging agentic tools, in practical, real-world ways.

 

Required

• Strong SQL skills and experience querying relational databases.
• Experience with data analysis, data validation, or data management in an analytical role.
• Experience with Python and/or R.
• Comfort writing scripts for data manipulation or analysis.
• Curiosity, initiative, and a willingness to learn new tools and approaches.

Preferred

• Experience with PowerBI, Snowflake, Git/GitHub, and/or Databricks.
• Exposure to or interest in AI-enabled analytics, including agentic or automation-focused approaches.

Qualifications

• Bachelor's degree in mathematics, economics, statistics, or other quantitative field.
• Minimum 3 years relevant work experience, typically 4 years.
• Strong proficiency in Excel, PowerPoint, and statistical software packages (e.g., SAS, Emblem).
• Must have strong planning, organizational, analytical, decision making and communication skills.

About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that va