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Location
Hybrid (Seattle, United States)
Seniority
Principal · 5+ years exp
Visa
H-1B filings in 12 months: 42 · for this role: 22 · green card filings: 5

Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Nov 12, 2026. Liberty Mutual Group scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Headquartered in Boston, Massachusetts, Liberty Mutual Group is a leading global insurer and one of the largest property and casualty insurance providers in the world. Founded in 1912, the company offers a comprehensive range of personal, commercial, and specialty insurance products alongside reinsurance and financial solutions. Operating across dozens of countries, it serves millions of clients worldwide by providing essential risk management services and financial protection.

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.

What You'll Do:

  • 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.

What We're Looking For:

  • Experience: 5+ years in data analytics or a related data solutions role, including coding for data management, data warehousing, or other data environments.
  • Tooling: Comfortable across the broader data and analytics toolset used for the role (e.g., Snowflake, SAS Viya, SQL, GitHub), with the ability to use AI-assisted tools (e.g., GPT/Copilot/Claude) to improve productivity.
  • Project management: Demonstrated experience leading projects from scoping through delivery and reporting on progress and challenges.
  • Analytical mind: Candidate must be analytical and curious, with the ability to read ambiguous regulatory guidance, ask the right questions, and translate vague instructions into precise data requirements and testable rules. Strong written and oral communication skills required.
  • Leadership & autonomy: Proven ability to lead work cross-functionally and influence with limited guidance.
  • AI: experience applying generative AI tools (e.g., Claude, ChatGPT) to data analysis, documentation, or workflow automation.

Qualifications

  • Strong written and oral communication skills required.
  • Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred.
  • Master`s in same or related disciplines strongly preferred.
  • 5-7 years’ experience using SQL and/or Python for data analysis and reporting in data warehouse or similar data environments; experience with Snowflake and SAS is a plus.
  • 5-7 years of experience in data research and process automation, with strong documentation skills.

Employees may apply for a new role after completing 12 months of employment in their current position.

Employees should review all role requirements and apply only for positions for which they are eligible. Hiring processes may vary by country, including differences in procedures, requirements, and timelines. For country-specific details, please consult your local recruiting / HR team.

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