Principal Data Solutions Analyst
About The Position
Liberty Mutual is seeking a curious, detail-oriented, and resourceful Data Analyst to investigate complex regulatory data requests, analyze multiple data sources, and deliver accurate, reliable, and defensible responses. The role develops expertise in insurance products, underwriting data, and business processes, and works with partners across the organization to clarify and resolve data questions. It also identifies ways to improve future request handling through AI, automation, and better data practices. The position collaborates with regulatory, compliance, product, underwriting, and technology teams. It documents data sources, business logic, and prior analyses, and develops reporting for senior leadership on request status, progress, risks, and emerging challenges. Candidates within 50 miles of Boston, Portsmouth, Seattle, Columbus, or Plano follow a hybrid schedule with two office days per week; otherwise, the position is remote with occasional travel.
Requirements
- At least 5 years of experience in data analytics or a related data solutions role, including coding for data management, data warehousing, or other data environments.
- 5–7 years of experience using SQL and/or Python for data analysis and reporting in data warehouse or similar environments.
- 5–7 years of experience in data research and process automation, with strong documentation skills.
- Demonstrated experience leading projects from scoping through delivery and reporting progress and challenges.
- Strong analytical curiosity and ability to interpret ambiguous regulatory guidance, ask appropriate questions, and translate vague instructions into precise data requirements and testable rules.
- Strong written and oral communication skills.
- Proven ability to lead cross-functional work and influence with limited guidance.
- Experience applying generative AI tools, such as Claude or ChatGPT, to data analysis, documentation, or workflow automation.
Nice To Haves
- Bachelor’s degree in Computer Science, Computer Engineering, or a related discipline preferred.
- Master’s degree in the same or a related discipline strongly preferred.
- Experience with Snowflake and SAS.
- Familiarity with the broader data and analytics toolset, including Snowflake, SAS Viya, SQL, and GitHub, and ability to use AI-assisted tools such as GPT, Copilot, or Claude to improve productivity.
Responsibilities
- Investigate complex regulatory data requests, identify relevant data sources, and perform analysis to deliver accurate, complete, and defensible responses.
- Develop expertise in insurance products, underwriting data, and business processes to help partners address complex data questions.
- Collaborate with regulatory, compliance, product, underwriting, and technology teams to understand requirements, resolve data challenges, and meet business needs.
- Identify recurring challenges and opportunities to simplify, standardize, and expedite responses to regulatory requests.
- Document data sources, business logic, and prior analyses so future requests are easier to understand and fulfill.
- Develop and maintain reporting for senior leadership on regulatory request status, progress, risks, and emerging challenges, including issues requiring escalation or leadership support.
- Lead projects from scoping through delivery and report on progress and challenges.
- Apply AI, automation, and improved data practices to make future requests faster and easier to fulfill.
Benefits
- Comprehensive benefits
- Workplace flexibility
- Professional development opportunities
- Employee Resource Groups
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What This Job Offers
Job Type
Full-time
Career Level
Principal
