Senior Analyst, Product Analysis, Data Science Infrastructure

Job Locations US-Remote | US-WA-Seattle | US-MA-Boston
ID
2025-73225
Position Type
Full-Time
Minimum Salary
USD $82,000.00/Yr.
Maximum Salary
USD $157,000.00/Yr.
Typical Starting Salary
$95,000-$120,000
Flexible Time Off Annual Accrual - days
20
Application Deadline
12/12/25

Description

Are you passionate about pricing in the Insurance Industry? Would you like to join a dedicated team responsible for deploying pricing programs across all our retail lines nationwide? This is then your next job!  


The USDS Earnix team is looking for a Senior Analyst, Product Analysis to design and build major pricing programs in Earnix. The Earnix initiative will transform our pricing ecosystem and post modeling processes to increase speed to market and deploy more sophisticated models across LOBs.

 

**This position may have in-office requirements dependent upon candidate location.**

 

In addition to building best practices within Earnix, this role will collaborate closely with modeling, data and technology teams to:

  • Build USDS pricing programs in Earnix.
  • Assist on designing best-in-class capabilities to support post-modeling activities, including calibration, dislocation, and filing.
  • Ensure accuracy of all pricing and non-pricing outputs from Earnix.
  • Coordinate planning and execution with IT/Experience/MDS with understanding of high-level rating architecture.
  • Assist on creating and maintaining rigorous data models for Earnix analytical projects and API.
  • Assist on designing and implementing other use cases of Earnix as a rating engine.
  • As required, troubleshoot and support post launch queries and issues.
  • Adopt transformational mindset to improve and automate processes where applicable.
  • Regularly engages with the data science community and participates in cross-functional working groups. 

Qualifications

  • Bachelor's degree in business, information management, economics, or other quantitative field. Master’s degree preferred.
  • Minimum 3 years, typically 4 years or more of relevant work experience.
  • Knowledgeable in data query languages and tools; proficient in new and emerging technologies; may possess data modeling skills.
  • Must have good 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 vary based on multiple factors set forth in the compensation plan for the role.

At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in

every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive

benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.

We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits

Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.

Fair Chance Notices

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