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Principal Data Solutions Analyst

Listing for: CLM Dallas Chapter
Full Time position Listed on 2026-11-14
Job specializations:
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR

Job Description & How to Apply Below

Description

Are you someone who enjoys solving complex data problems, connecting the dots, and finding better ways to get things done? We're looking for a curious, detail-oriented, and resourceful Data Analyst to help solve some of our organization's most challenging data questions. In this role, you'll respond to regulatory data requests that require navigating complex business questions, analyzing multiple data sources, and collaborating across teams to deliver accurate, reliable information.

You'll become a trusted expert in insurance data while developing a broad understanding of our business and solving meaningful problems. Beyond answering today's questions, you'll help us work smarter by identifying opportunities to leverage AI, automation, and improved data practices to make future requests faster and easier to fulfill.

If you enjoy tackling difficult data challenges and finding ways to make them easier to solve the next time we'd love to hear from you.

Candidates who live within 50 miles of Boston, MA;
Portsmouth, NH;
Seattle, WA;
Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel.

  • Solve challenging data problems:
    Investigate complex regulatory data requests, identify relevant data sources, and perform the analysis needed to deliver accurate, complete, and defensible responses.
  • Become a trusted data expert:
    Develop a deep understanding of our insurance products, underwriting data, and business processes, helping partners navigate complex data questions.
  • Collaborate to deliver results:
    Work closely with regulatory, compliance, product, underwriting, and technology teams to understand requirements, resolve data challenges, and ensure responses meet business needs.
  • Improve how we work:
    Identify recurring challenges and opportunities to simplify, standardize, and expedite the process of responding to regulatory requests.
  • Build reusable knowledge:
    Document data sources, business logic, and prior analyses to make future requests easier to understand and fulfill.
  • Drive visibility and accountability:
    Develop and maintain reporting that provides senior leadership with visibility into regulatory request status, progress, and emerging challenges, highlighting risks and issues that may require escalation or leadership support.
Position

Company :
Liberty Mutual Insurance

Location :

Posted On : 11/10/2026

Are you someone who enjoys solving complex data problems, connecting the dots, and finding better ways to get things done? We're looking for a curious, detail-oriented, and resourceful Data Analyst to help solve some of our organization's most challenging data questions. In this role, you'll respond to regulatory data requests that require navigating complex business questions, analyzing multiple data sources, and collaborating across teams to deliver accurate, reliable information.

You'll become a trusted expert in insurance data while developing a broad understanding of our business and solving meaningful problems. Beyond answering today's questions, you'll help us work smarter by identifying opportunities to leverage AI, automation, and improved data practices to make future requests faster and easier to fulfill.

If you enjoy tackling difficult data challenges and finding ways to make them easier to solve the next time we'd love to hear from you.

Candidates who live within 50 miles of Boston, MA;
Portsmouth, NH;
Seattle, WA;
Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel.

What You'll Do
  • Solve challenging data problems:
    Investigate complex regulatory data requests, identify relevant data sources,…
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