Data Analyst supporting supply chain risk management for federal agencies. Focusing on data analysis and mitigation strategies in a collaborative team environment.
About the role
- Lead Data Analyst for American Family Insurance transforming Auto claims data into actionable insights. Collaborating across teams to diagnose metrics and deliver analytics with emerging tools.
Responsibilities
- Lead variance and root-cause analyses to explain changes in claims performance metrics (volume, severity, cycle times, KPIs)
- Build and maintain models that quantify business impact of operational initiatives, vendor performance, and process changes
- Develop forecasts to support planning and resource allocation decisions
- Partner with Claims leadership as a trusted analytical advisor; translate complex findings into clear, compelling narratives that drive action
- Support internal business partners (Loss Reserving, Product Management, Pricing) with claims data expertise and ad-hoc analysis
- Collaborate with Data Engineering teams to ensure data quality, pipeline integrity, and alignment between business needs and technical solutions
- Mentor fellow analysts and contribute to a culture of curiosity, continuous learning, and knowledge sharing
- Proactively explore emerging tools and techniques, including AI-assisted workflows, to improve team efficiency and analytical depth
- Follow and curate industry data to understand internal performance relative to industry benchmarks or trends
Requirements
- Strong background in Property & Casualty insurance claims, with Auto claims experience required
- Proven ability to move beyond surface-level reporting to uncover root causes and recommend solutions
- Advanced SQL skills (BigQuery preferred)
- Experience with BI/visualization tools (Looker, Tableau)
- Comfort with Google Sheets/Excel for modeling and analysis, and exploratory data analysis (EDA)
- Exposure to Python, BigQueryML, or similar tools a plus
- Ability to distill complex analysis into clear, persuasive narratives for both technical and non-technical audiences
- Experience working cross-functionally; able to 'speak the language' with Data Engineering and technical teams without needing to own ETL work directly
- Self-directed learner who stays current with industry trends, new tools, and modern analytical approaches including AI/ML applications
Benefits
- Comprehensive medical, dental, vision and wellbeing benefits
- Competitive 401(k) contribution
- Pension plan
- Annual incentive
- 9 paid holidays
- Paid time off program (23 days accrued annually for full-time employees)
- Student loan repayment program
- Paid family leave
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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