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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in marketing metrics analysis, including signups, CPA, and attribution, while applying causal methods and experimentation techniques to drive actionable insights. Proficient in translating complex data into clear recommendations for stakeholders, ensuring effective campaign measurement and optimization.
Highest-signal resume keywords
TableauSQLProduct Analytics Platform (Amplitude)A/B TestingCausal Inference
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Marketing Metrics LiteracyIncrementality TestingGeo/Holdout DesignsMedia Mix ModelingLTV AnalysisEngagement AnalysisChurn AnalysisConversion Funnel AnalysisAttribution ConceptsData Warehouse Proficiency
Soft Skills
Self-Directed OwnershipClear CommunicationProactive Problem-SolvingAttention to DetailCollaboration
Tools & Technologies
TableauSQLAmplitudeData Warehouse
Industry Keywords
Marketing AnalyticsGrowth AnalyticsProduct AnalyticsCampaign MeasurementEngagement Metrics
Tech Stack
Tools & technologiesiOSSQLTableau
About the role
Key responsibilities & impact- Build and extend the marketing metrics (signups, cost per signup, CPA, attribution, engagement, retention) and reporting so partners can self-serve and trust the numbers.
- Design the measurement approach alongside a campaign — defining KPIs, instrumentation needs, and success criteria before launch.
- Own a process that connects campaign activity to downstream business signals (engagement spikes, care utilization, conversions) in near-real-time.
- Partner on experiment design: pressure-test the hypothesis, check that tests are powered and correctly set up.
- Run post-mortems that go past “what happened” to “what we should do next.”
- Apply causal methods — incrementality testing, geo/holdout designs, and media mix modeling.
- Build LTV analysis by channel to guide budget allocation and channel strategy.
- Stand up and maintain attribution across SKAN (iOS) and web.
- Partner with Product to land a “How did you hear about us” (HDYHAU) survey in the mobile onboarding flow.
- Analyze trial-to-paid conversion, engagement, churn, and reactivation across the lifecycle.
Requirements
What you’ll need- 4+ years in marketing, growth, or product analytics, or a comparable quantitative role.
- Strong Tableau and SQL skills, and comfort working directly in a data warehouse.
- Hands-on fluency with a product analytics platform (Amplitude or similar) and with marketing measurement generally.
- Marketing-metrics literacy — open and click rates, conversion funnels, CAC/CPA, LTV, and attribution concepts.
- Demonstrated experimentation and causal-inference skills: A/B testing, power analysis, incrementality, and holdout design.
- A track record of self-directed ownership — you drive your own deadlines and flag slippage proactively, before anyone has to chase.
- The ability to translate analysis into clear, actionable recommendations for non-technical partners.
- Care and rigor when handling sensitive member and health-related data.
Benefits
Comp & perks- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
- Monthly wellness stipend
- Lifetime Headspace membership
- Generous parental leave
