Senior Statistical Analyst

Mission Pet Health is building a deeper understanding of how pet owners and clients engage across our owned products and touchpoints. This role sits at the intersection of product engineering and data engineering — responsible for defining how we measure client behavior, designing the experiments that test our assumptions, and partnering with engineering to instrument our products with the data infrastructure those efforts require.

This is a foundational role. You won't be handed a mature analytics stack — you'll help build it.

• Define and maintain Mission Pet Health's client behavior model — the framework that describes how clients engage across their lifecycle (acquisition, activation, retention, lapse, reactivation)
• Identify the key behavioral signals that predict meaningful outcomes (repeat visits, product adoption, lifetime value) and build the models that quantify them
• Develop segmentation frameworks that allow teams to understand and act on distinct client cohorts
• Own the end-to-end experimentation program: hypothesis definition, experimental design, power analysis, instrumentation requirements, analysis, and recommendation
• Establish organization-wide standards for statistical rigor — guardrail metrics, minimum detectable effects, sequential testing protocols, and significance thresholds
• Partner with Product and Marketing to prioritize and sequence experiments; translate results into clear, actionable recommendations for non-technical stakeholders
• Author and maintain the organization's tracking plan — defining the events, properties, and user identifiers to be captured across web, mobile, and in-clinic touchpoints
• Specify analytics beacons and event schemas for engineering teams to implement, including clear acceptance criteria and validation steps
• Audit existing instrumentation for gaps and data quality issues; drive remediation in partnership with engineering
• Ensure tracking design supports longitudinal analysis, cross-surface identity resolution, and downstream modeling needs

• Define the data model that translates raw event streams into clean, analysis-ready assets — in partnership with data engineering
• Design and document metric definitions, KPI trees, and measurement frameworks that become the organization's shared source of truth
• Build and maintain dashboards and self-serve reporting for Product, Marketing, and clinical teams

• Serve as the primary analytics partner to Product, Engineering, and Marketing on behavioral and experimentation questions
• Translate statistical findings into clear decision points for product, business, and leadership audiences — without dumbing it down
• Present experiment results, model outputs, and measurement frameworks to cross-org stakeholders in ways that drive action
• Educate teams on correct interpretation of data and experiment results; build org-wide statistical literacy over time

• 6+ years in product analytics, data science, or a quantitative research role with direct ownership of behavioral analytics
• Clear communicator who can translate statistical findings for product and business audiences
• Strong applied statistics: hypothesis testing, regression, causal inference, power analysis, experiment design
• Experience designing and implementing tracking plans and event instrumentation — including writing beacon/event specs for engineering
• Proficiency in SQL and at least one of Python or R
• Experience building or contributing to a client/user behavior model from scratch

• Experience with product analytics platforms (Amplitude, Mixpanel, or similar)
• Familiarity with dbt and cloud data warehouses (Snowflake, Click House, Big Query, or similar)
• Experience in healthcare, veterinary, or appointment-based service businesses
• Exposure to identity resolution across multiple product surfaces (web, app, in-person)
• Background in Bayesian statistics or causal inference methods

• Audit current instrumentation and data model; document gaps and prioritize remediation
• Draft the v1 client behavior model and align…