Principal Data Solutions Analyst, USRM Data Office

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 best-in-class (timely, accurate, and defensible) claims data solutions that support regulatory requests, litigation support, and internal compliance monitoring.

The Role (What you’ll do)

As a Principal Data Solutions Analyst / Senior Data Solutions Analyst, you’ll be a key contributor on a small, high‑impact team that turns complex questions into clear requirements and high‑quality data deliverables. You’ll help produce repeatable extracts, metrics, and reporting—while strengthening documentation, QA, and reusability so the work scales over time. This is a great role for someone who enjoys a mix of problem solving, stakeholder partnership, and hands-on data work, and who takes pride in delivering outputs that stand up to scrutiny.

**This position may have in-office requirements depending on candidate location. Boston/Portsmouth locations preferred but not required.**

Key Responsibilities

• 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 data solutions such as claim-level extracts, summaries, and repeatable reporting 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, reasonableness checks, join/grain validation, peer review) to ensure outputs are accurate and defensible.
• 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 analytics, data solutions, reporting, or data engineering-related work.
• Strong working knowledge of SQL and experience working with large datasets (Snowflake or similar platforms preferred).
• Experience building data deliverables end-to-end: requirements → development → QA → stakeholder delivery.
• Strong written and verbal communication skills; comfortable explaining data outputs to non-technical audiences.
• Growth mindset and curiosity; comfortable learning new domains, data structures, and tools.
• Experience with SAS and/or SAS Viya.
• Familiarity with claims domain concepts (claim/exposure/transaction grain, paid/incurred/reserve) and/or systems like Guidewire / Claims WorkBench (or analogous platforms).
• Experience supporting Compliance, Regulatory, or Legal stakeholders, or producing audit-ready deliverables.
• Experience with Power BI or similar BI tools.
• Interest and experience in using and building AI-enabled tools for approved use-cases.