Principal Analytics Analyst, 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 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.

Key Responsibilities

• Cook 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.
• 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.
• Participate in the team’s operating cadence (standups, intake/triage, prioritization) and proactively communicate status, risks, and blockers.
• Act 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.
• Over time, you help create repeatable, scalable solutions through templates, automation, and better data assets.

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.