Staff Analyst, Product & Marketing

About the role

This position partners closely with Product and Marketing teams to provide data-driven insights that guide strategic decisions. You will focus on the entire customer lifecycle, from initial engagement through to ongoing loyalty.

Key facts

What you'll do

• Offer strategic guidance and analytical support to Product and Marketing leaders, influencing roadmaps and investment choices with data.
• Lead the strategy for experiments across product and marketing initiatives, including test design, defining success metrics, estimating required sample sizes, setting guardrails, and interpreting results.
• Employ causal inference techniques, such as difference-in-differences and propensity score matching, to understand the true drivers of metric changes.
• Collaborate with Data Science to contribute to predictive models for churn, lifetime value, and conversion likelihood, directly informing product and marketing strategies.
• Oversee the analysis of conversion funnels from beginning to end, identifying bottlenecks, diagnosing underlying causes, and working with Product and Category teams to implement improvements.
• Evaluate the performance of paid channels including SEM, Social, and CRM, translating findings into actionable recommendations for investment and optimization, supporting incrementality and attribution analysis.
• Work with Data Science, Analytics Engineering, and Data Engineering teams to define tracking needs and ensure data accuracy within product and marketing processes.
• Utilize Python or R alongside SQL to build adaptable analytical solutions and modeling outputs that go beyond standard reporting.
• Develop clear Looker dashboards to make data accessible and empower self-service for Product and Marketing teams.
• Segment users based on demographics, behavior, and psychographics to personalize product experiences, communication flows, and marketing efforts.
• Promote data quality, thorough documentation, and consistent delivery standards, while also mentoring junior analysts.
• Establish and maintain key performance indicator frameworks and measurement plans for new features and projects.
• Conduct in-depth analyses to address critical business questions, quantify potential opportunities, and propose concrete actions.

Requirements

• A minimum of 8 years of experience in analytics, data science, or a related quantitative field.
• A Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a similar discipline.
• At least 5 years of experience in designing, running, and analyzing A/B tests within product or marketing contexts.
• Experience contributing to predictive models (e.g., churn, LTV, conversion propensity) using Python or R, in partnership with Data Science.
• Substantial experience collaborating with data engineering teams and working with production data pipelines.
• Proficiency in data modeling and statistics, with a strong understanding of experimental design and statistical inference.
• Experience applying causal inference methods beyond basic A/B testing, such as quasi-experimental approaches or observational study designs.
• Familiarity with subscription business models and associated metrics, including conversion funnel analysis, cohort analysis, and churn.
• Practical experience with marketing analytics, including paid channel performance, CRM analysis, incrementality testing, or attribution modeling.
• Expert-level SQL skills and advanced proficiency with Looker or Tableau.
• The ability to clearly communicate technical findings to non-technical stakeholders, including senior management.
• Proven ability to shape and influence product and marketing strategy, not just perform analysis.
• A self-starter attitude with strong organizational and prioritization capabilities.

Nice to have

• Experience with multi-touch attribution (MTA), media mix modeling (MMM), or incrementality testing methodologies.
• Experience with price testing and modeling price elasticity.
• Familiarity with telehealth concepts or subscription-based healthcare models.
• Experience with GrowthBook or a similar experimentation platform.
• Experience with DBT, Airflow, and Databricks.

Skills & tools

• Python
• R
• SQL
• Looker
• Tableau
• A/B Testing
• Causal Inference
• Predictive Modeling
• Marketing Analytics
• Subscription Metrics

Practical notes

• This role offers competitive salary and equity.
• Benefits include unlimited paid time off, company holidays, quarterly mental health days, comprehensive health coverage (medical, dental, vision), parental leave, Employee Stock Purchase Program (ESPP), and 401k with employer match.
• The company is committed to building a diverse workforce and encourages applications from individuals who may not meet every qualification.
• Hims & Hers considers all qualified applicants for employment, including those with arrest or conviction records, in accordance with applicable fair chance laws.
• Reasonable accommodations are available for qualified individuals with disabilities during the application process. Please contact accommodations@forhims.com for assistance.