Senior Analytics Lead – Product & Marketing Growth

Hims & Hers; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary & equity

Unlimited PTO & holidays

Comprehensive health benefits

Employee Stock Purchase Program

401k with employer matching

Offsite team retreats

Job summary

Hims & Hers is seeking a Staff Analyst, Product & Marketing, to serve as a strategic analytics partner across Product and Marketing, driving impact from acquisition to retention. You will lead experimentation, apply causal inference, and collaborate with Data Science to build predictive models and optimize the customer journey.

The role requires advanced SQL, Python/R, and dashboarding with Looker/Tableau, plus the ability to explain complex analyses to senior leadership and influence product

Qualifications

• 8+ years of analytics, data science, or a related quantitative field.
• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related field.
• 5+ years of experience designing, executing, and analyzing A/B tests across product and/or marketing environments.
• Experience partnering with Data Science to contribute to predictive models such as churn, LTV, or conversion propensity in Python or R.
• Extensive experience working with data engineering teams and production data pipelines.
• Experience in data modeling and statistics; strong knowledge of experimental design + statistical inference.
• Experience applying causal inference techniques beyond standard A/B testing.
• Experience with subscription-based business models and metrics, including funnel analysis, cohort analysis, and churn.
• Hands-on marketing analytics, including paid channel performance, CRM analysis, incrementality testing, or attribution modeling.
• Expert SQL skills and advanced experience with Looker or Tableau.
• Ability to explain technical analyses clearly to non-technical audiences, including senior leadership.
• Experience shaping and influencing product and marketing strategy, not just executing analyses.
• A proactive, ownership-driven mindset with strong organizational and prioritization skills.

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 identify drivers of metric movement.
• Partner with Data Science to contribute to predictive models like 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, translating findings into investment recommendations.
• Work 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 Looker dashboards that democratize data and enable self-service across teams.
• Segment users by demographics, behavior, and psychographics to tailor experiences and targeting.

Skills

A/B testing

Digital analytics

Marketing measurement

Experimental design

Predictive modeling

Python

R

SQL

Looker

Tableau

Education

Bachelor’s degree in Statistics/Math/Economics/CS/Engineering

Tools

Looker

Tableau

Python

R

SQL

Job description

Hims & Hers is seeking a Staff Analyst, Product & Marketing, to serve as a strategic analytics partner across Product and Marketing, driving impact from acquisition to retention. You will lead experimentation, apply causal inference, and collaborate with Data Science to build predictive models and optimize the customer journey.

The role requires advanced SQL, Python/R, and dashboarding with Looker/Tableau, plus the ability to explain complex analyses to senior leadership and influence product