Staff Analyst, Product & Marketing

hims & hers

Staff Analyst for Hims & Hers driving impact across customer journey from acquisition to growth. Collaborating with cross-functional teams to optimize marketing investments and improve customer experience.

Posted 7/20/2026full-timeRemote • 🇺🇸 United StatesLead💰 $155,000 - $185,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in analytics and data science, with a strong focus on causal inference methods, A/B testing, and predictive modeling using Python or R. Proven ability to influence product and marketing strategies through data-driven insights and effective communication with cross-functional teams.

Highest-signal resume keywords

Causal Inference MethodsA/B Testing Design and AnalysisPredictive Modeling in Python or RSQL and Looker ExpertiseConversion Funnel Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical InferenceExperimental DesignData ModelingKPI Framework DevelopmentCohort AnalysisChurn AnalysisIncrementality TestingAttribution ModelingSample-Size Estimation

Soft Skills

Strategic PartnershipInfluencing StakeholdersOrganizational SkillsMentoring Junior AnalystsClear Communication

Tools & Technologies

PythonRSQLLookerTableau

Industry Keywords

Subscription-Based Business ModelsMarketing AnalyticsData IntegrityCross-Functional CollaborationProduct Strategy

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Provide thought leadership and strategic partnership to both 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 what is actually driving metric movement
Partner with Data Science to contribute to predictive models, including churn, LTV, and conversion propensity, that directly inform product and marketing decisions
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
Assess paid channel performance across SEM, Social, and CRM, and translate findings into clear investment and optimization recommendations, supporting incrementality testing and attribution work
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
Use Python or R alongside SQL to develop scalable analytical solutions and modeling outputs that go beyond what dashboards alone can answer
Design intuitive Looker dashboards that democratize data and elevate self-service capabilities across Product and Marketing teams
Segment users based on demographic, behavioral, and psychographic attributes to tailor product experiences, lifecycle communications, and marketing targeting
Champion data quality, documentation, and deliverable consistency while serving as a mentor to junior analysts
Create and maintain KPI frameworks and measurement plans for new features and initiatives
Conduct deep-dive analyses to answer strategic business questions, quantify opportunities, and recommend clear actions

Requirements

What you’ll need

8+ years of experience in 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, such as quasi-experimental methods or observational study design
Experience with subscription-based business models and metrics, including conversion funnel analysis, cohort analysis, and churn
Hands-on experience with 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.

Benefits

Comp & perks

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