Senior Analyst, Veterinary Data Research
About The Position
Trupanion is a leading provider of medical insurance for cats and dogs in North America. Our mission is to help loving, responsible pet owners budget and care for their pets. We offer a collaborative, casual, and pet-friendly environment where everyone is encouraged to be themselves. The Senior Analyst supports the data research function by transforming complex veterinary medical data into actionable insights for product, claims, actuarial, and growth teams. This role executes research studies, ensures data quality, and delivers clear analyses that inform strategic decisions. This role will collaborate closely with DVM advisors, domain experts, and cross-functional teams to ensure clinical relevance and business impact. Background in veterinary, biomedical, or health economics domains preferred! This position is open to candidates in the Seattle area. You will have a hybrid remote/in-office schedule where you will work from our casual, pet-friendly office at least 3 days a week.
Requirements
- 4+ years in data analytics/data science, with experience in research programs or applied analytics.
- Proficiency with SQL and a modern BI stack (e.g., Tableau); hands-on experience with Python or R for statistical analysis and modeling.
- Demonstrated expertise in experimental design, statistical inference, and causal methods.
- Experience working with medical-like data (unstructured records, lab values, imaging reports) and mapping raw data into normalized schemas.
- Track record of delivering research projects that influenced product, pricing, or operational decisions.
- Strong communication skills; ability to translate complex methods into crisp insights for senior leaders.
Nice To Haves
- Exposure to machine-learning methods (e.g., gradient boosting, random forests, GLMs) applied to observational data; focus on interpretability.
- Experience collaborating with Actuarial and Claims teams in insurance contexts.
- Background in veterinary, biomedical, or health economics domains preferred.
- Hands-on experience with feature engineering on medical records; comfort with ambiguous labeling and domain-driven taxonomies.
- Commitment to continuous learning and professional development.
Responsibilities
- Execute research studies aligned to business outcomes; quantify drivers of pet health costs, retention, and claim outcomes under the guidance of the Senior Manager.
- Apply rigorous methodologies (e.g., cohort analyses, causal inference, A/B tests) with appropriate controls and power calculations.
- Maintain standards for data quality, documentation, and reproducibility; participate in peer review and research governance.
- Collaborate with Claims Operations, Actuarial, Product, and Growth Insights to translate business questions into testable hypotheses and measurable KPIs.
- Synthesize findings into executive-ready narratives and visualizations; communicate tradeoffs and limitations to nontechnical stakeholders.
- Partner with clinical experts (DVMs) to interpret veterinary medical records, diagnostics, and treatment plans; ensure clinical validity in feature engineering and labeling.
- Champion responsible data practices for sensitive veterinary medical data, including privacy-by-design, minimum-necessary access, and robust deidentification.
- Influence data platform improvements (e.g., data modeling, instrumentation, semantic definitions) to support research velocity and reliability.
Benefits
- Full medical, dental, and vision benefits at no cost to the employee
- Four weeks of paid time off and 9 paid float holidays (you can decide which days are most important to you!)
- Five-week sabbatical after five years of employment
- Open, casual, pet-friendly, and fun office environment
- Free medical health insurance for your pet (1 dog or cat)
- Paid time off to volunteer at nonprofit organizations
- Free on-site gym, free dog walking services for office pets during business hours, free parking, and paid ORCA cards.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
