The Role (What you’ll do)

As a PrincipalAnalyticsAnalyst / SeniorAnalyticsAnalyst, youll be a key contributor on a small, highimpact team that turns complexlegal and regulatory questionsinto clearanalytical requirementsand highquality,insight-driven deliverables. Youllgo beyond producing extracts and reporting to conduct in-depth analysis, with claims data.This is a great role for someone who enjoys a mix offorensicproblem solving, stakeholder partnership, and hands-ondata analysis, and who takes pride in deliveringinsightsthat stand up to scrutiny.

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

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 claimsanalytical solutions, including everything from foundational claim-level extracts to statistical summaries, predictive metrics, and interactive dashboardsusing 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 ensureboth the data and the resulting analysisare 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 teams 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 afast-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 65+ years of professional experience in data analytics, with a strong preference for experience in theproperty 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.
• Strongcommunication skills; comfortabletranslating complex analytical findings into clear, concise narrativesfor 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.

• 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