Principal Analytics Analyst, Data Office

Description About the Team

Do you enjoy stakeholder partnership, data craftsmanship, and delivering when it matters most? The US Retail Markets Data Office helps make data a competitive advantage for Liberty—by building trusted data products, improving quality and governance, and enabling smarter decisions across the enterprise. Within the Data Office, our Cross‑Domain Data Solutions team partners closely with Corporate Legal, Compliance, and Claims leaders to deliver impactful claims analytics and insights that support regulatory requests, litigation support, and internal compliance monitoring. We aim to be trusted analytical partners who help our stakeholders not just get data, but understand it.

The Role (What you’ll do)

As a Principal Analytics Analyst / Senior Analytics Analyst, you’ll be a key contributor on a small, high‑impact team that turns complex legal and regulatory questions into clear analytical requirements and high‑quality, insight-driven deliverables. You’ll go beyond producing extracts and reporting to conduct in-depth analysis, with claims data. This is a great role for someone who enjoys a mix of forensic problem solving, stakeholder partnership, and hands-on data analysis, and who takes pride in delivering insights that stand up to scrutiny.

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

Key Responsibilities

• Conduct deep-dive analysis of complex claims data to identify trends, anomalies, and key insights that directly inform legal strategy, regulatory responses, and compliance assessments.
• Partner with Legal & Compliance stakeholders to clarify request intent, scope, timelines, and success criteria.
• Adapt communication style appropriately to share project results, opportunities, and successes with both technical and business (non-technical) leaders.
• Develop and deliver claims analytical solutions, including everything from foundational claim-level extracts to statistical summaries, predictive metrics, and interactive dashboards using tools like SQL/Snowflake, SAS Viya, Python, and other BI tools as needed.
• Prioritize efforts to meet delivery timelines, proactively communicating risks to stakeholders.
• Apply strong data QA practices (reconciliations, trend analysis, reasonableness checks, peer review) to ensure both the data and the resulting analysis are accurate and defensible.
• Proactively identify opportunities for analysis; partner with stakeholders to move beyond reactive data pulls to a more forward-looking, analytics-driven approach.
• Produce and maintain clear documentation (methodology, definitions, assumptions/limitations, data lineage) so deliverables are reproducible and audit-ready.
• Help improve team efficiency by creating reusable code modules, templates, and standardized “request packages” for recurring stakeholder needs.
• Collaborate with data product and engineering partners to identify high-value recurring requests that should be supported by curated data assets.
• Demonstrates an understanding of new technologies as needed to progress initiatives, including leveraging approved AI tools to improve processes (within guardrails).
• Participate in the team’s operating cadence (standups, intake/triage, prioritization) and proactively communicate status, risks, and blockers.
• Acts as a technical guide and mentor for lower level associates.
• Embrace Diversity, Equity and Inclusion culture creating long-lasting and trusting relationships with teammates.

What Success Looks Like:

• Stakeholders experience you as a responsive, clear communicator who can translate ambiguity into actionable requirements.
• Deliverables are accurate, consistent, and well-documented, with fewer last-minute surprises or rework cycles.
• Effectively balances tasks simultaneously and adapts to shifting/competing priorities in a fast-paced working environment.
• Under limited direction, prototypes/develops data solutions of high complexity to meet the needs of the organization and business customers.
• Over time, you help create repeatable, scalable solutions through templates, automation, and better data assets.

Preferred / Nice to Have:

• 3–5+ years of professional experience in data analytics, with a strong preference for experience in the property and casualty insurance industry.
• Strong working knowledge of SQL and experience working with large datasets (Snowflake or similar platforms preferred).
• Proven experience in claims analytics, with a strong understanding of claims data concepts (e.g., claim/exposure/transaction grain, paid/incurred/reserve, claim lifecycle) and familiarity with claims systems (e.g., Guidewire, Claims WorkBench).
• Experience building data deliverables end-to-end: requirements → analysis & insight generation → QA → stakeholder delivery.
• Strong communication skills; comfortable translating complex analytical findings into clear, concise narratives for non-technical audiences.
• Experience supporting Compliance, Regulatory, or Legal stakeholders, or producing audit-ready deliverables.
• Experience with Power BI or similar BI tools.
• Experience with Python or SAS for data analysis is a plus.

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 in coding for data management, data warehousing, or other data environments, including, but not limited to, SQL, SAS and experience working with large datasets (Snowflake or similar platforms preferred).
• 5-7 years experience as developer with top quadrant Business Intelligence tools

About UsPay 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://www.libertymutualgroup.com/about-lm/careers/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

• California
• Los Angeles Incorporated
• Los Angeles Unincorporated
• Philadelphia
• San Francisco