Staff Analyst, Product & Marketing
Hims & Hers· ANALYTICS & DATA SCIENCE
Remote$155k - $190k + equityFull-timePosted 3mo ago
About the role
Strategic analytics partner to Product and Marketing, driving impact across the full customer journey using A/B testing, digital analytics, marketing measurement, experimental design, and predictive modeling. Reports to the Director of Product and Marketing Analytics.
Responsibilities
- Provide thought leadership and strategic partnership to Product and Marketing stakeholders, influencing roadmap and channel investment decisions with data-driven insights
- Own the experimentation strategy across product and marketing workstreams, including test design, success metrics, sample-size estimation, guardrails, and results interpretation
- Apply causal inference methods such as difference-in-differences and propensity score matching to move beyond correlation and identify drivers of metric movement
- Partner with Data Science to contribute to predictive models, including churn, LTV, and conversion propensity
- Own conversion funnel analytics end to end, diagnosing drop-offs and driving improvements with Product and Category teams
- Assess paid channel performance across SEM, Social, and CRM, and translate findings into investment and optimization recommendations
- Collaborate with Data Science, Analytics Engineering, and Data Engineering to define tracking requirements and ensure data integrity
- Use Python or R alongside SQL to develop scalable analytical solutions and modeling outputs
- Design intuitive Looker dashboards to democratize data and enable self-service
- Segment users by demographics and behavior to tailor product experiences and marketing targeting
- Mentor junior analysts and maintain KPI frameworks and measurement plans for new features
- Conduct deep-dive analyses to answer strategic questions and recommend actions
Qualifications
- 8+ years of experience in analytics, data science, or related quantitative field
- Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or related field
- 5+ years of experience designing, executing, and analyzing A/B tests across product and/or marketing
- Experience partnering with Data Science to contribute to predictive models (e.g., churn, LTV, conversion propensity) in Python or R
- Extensive experience with data engineering teams and production data pipelines
- Experience in data modeling and statistics; strong knowledge of experimental design and statistical inference
- Experience applying causal inference techniques beyond standard A/B testing (e.g., quasi-experimental methods)
- Experience with subscription-based business models and metrics (conversion funnel, cohort analysis, churn)
- Hands-on experience with marketing analytics (paid channel performance, CRM analysis, incrementality testing, attribution)
- Expert SQL skills and advanced experience with Looker or Tableau
- Ability to explain technical analyses to non-technical audiences, including senior leadership
- Experience shaping and influencing product and marketing strategy
- Proactive, ownership-driven mindset with strong organizational and prioritization skills
Skills
Required:A/B testingPythonSQLLooker/TableauCausal inference
Nice to have:R
Benefits
- Competitive salary & equity compensation for full-time roles
- Unlimited PTO, company holidays, and quarterly mental health days
- Comprehensive health benefits including medical, dental & vision, and parental leave
- Employee Stock Purchase Program (ESPP)
- 401k benefits with employer matching contribution
- Offsite team retreats
Last updated Oct 21, 2026. Interested? Apply on the company site.
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