
201 - 500 employees
Founded 2017
âïž Healthcare Insurance
đïž eCommerce
đ§ Wellness
Healthcare Insurance âą eCommerce âą Wellness
Hims & Hers is an online platform with over 1 million subscribers that connects patients to licensed healthcare professionals across all 50 states in the U. S. The service offers comprehensive support for sexual health, weight loss, hair regrowth, mental health, and skincare through a 100% online process. Clients can receive personalized treatment plans which may include prescription medications, and benefit from free and discreet shipping. Hims & Hers prides itself on providing accessible and affordable healthcare without the need for insurance, offering transparent pricing and support from licensed providers. It aims to empower individuals by making healthcare and treatment conveniently available on their own terms, including mental health support, which includes treatments for anxiety and depression.
đ„ 12 hours ago
đșđž United States â Remote
đ” $155k - $185k / year
â° Full Time
đŽ Lead
đ Marketing Analyst
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201 - 500 employees
Founded 2017
âïž Healthcare Insurance
đïž eCommerce
đ§ Wellness
Healthcare Insurance âą eCommerce âą Wellness
Hims & Hers is an online platform with over 1 million subscribers that connects patients to licensed healthcare professionals across all 50 states in the U. S. The service offers comprehensive support for sexual health, weight loss, hair regrowth, mental health, and skincare through a 100% online process. Clients can receive personalized treatment plans which may include prescription medications, and benefit from free and discreet shipping. Hims & Hers prides itself on providing accessible and affordable healthcare without the need for insurance, offering transparent pricing and support from licensed providers. It aims to empower individuals by making healthcare and treatment conveniently available on their own terms, including mental health support, which includes treatments for anxiety and depression.
âą Provide thought leadership and strategic partnership to both Product and Marketing stakeholders, influencing roadmap and channel investment decisions with data-driven insights âą Own the experimentation strategy across product and marketing workstreams, including test design, success metrics, sample-size estimation, guardrails, and results interpretation âą Apply causal inference methods such as difference-in-differences and propensity score matching to move beyond correlation and identify what is actually driving metric movement âą Partner with Data Science to contribute to predictive models, including churn, LTV, and conversion propensity, that directly inform product and marketing decisions âą Own conversion funnel analytics end to end, identifying drop-off points, diagnosing root causes, and partnering with Product and Category teams to drive measurable improvements âą Assess paid channel performance across SEM, Social, and CRM, and translate findings into clear investment and optimization recommendations, supporting incrementality testing and attribution work âą Work cross-functionally with Data Science, Analytics Engineering, and Data Engineering teams to define tracking requirements and ensure data integrity across product and marketing workflows âą Use Python or R alongside SQL to develop scalable analytical solutions and modeling outputs that go beyond what dashboards alone can answer âą Design intuitive Looker dashboards that democratize data and elevate self-service capabilities across Product and Marketing teams âą Segment users based on demographic, behavioral, and psychographic attributes to tailor product experiences, lifecycle communications, and marketing targeting âą Champion data quality, documentation, and deliverable consistency while serving as a mentor to junior analysts âą Create and maintain KPI frameworks and measurement plans for new features and initiatives âą Conduct deep-dive analyses to answer strategic business questions, quantify opportunities, and recommend clear actions
âą 8+ years of experience in analytics, data science, or a related quantitative field âą Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related field âą 5+ years of experience designing, executing, and analyzing A/B tests across product and/or marketing environments âą Experience partnering with Data Science to contribute to predictive models such as churn, LTV, or conversion propensity in Python or R âą Extensive experience working with data engineering teams and production data pipelines âą Experience in data modeling and statistics; strong knowledge of experimental design + statistical inference âą Experience applying causal inference techniques beyond standard A/B testing, such as quasi-experimental methods or observational study design âą Experience with subscription-based business models and metrics, including conversion funnel analysis, cohort analysis, and churn âą Hands-on experience with marketing analytics, including paid channel performance, CRM analysis, incrementality testing, or attribution modeling âą Expert SQL skills and advanced experience with Looker or Tableau âą Ability to explain technical analyses clearly to non-technical audiences, including senior leadership âą Experience shaping and influencing product and marketing strategy, not just executing analyses âą A proactive, ownership-driven mindset with strong organizational and prioritization skills.
âą Competitive salary & equity compensation for full-time roles âą Unlimited PTO, company holidays, and quarterly mental health days âą Comprehensive health benefits including medical, dental & vision, and parental leave âą Employee Stock Purchase Program (ESPP) âą 401k benefits with employer matching contribution âą Offsite team retreats
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