Lead Data Analyst, Product

$160,000 - $190,000/Yr

Hims & Hers

Full-time - Mid Level

Hybrid

About the position

As a Lead Data Analyst at Hims & Hers, you will play a crucial role in shaping the customer experience through high-quality experimental design and hypothesis testing. This position involves collaborating with cross-functional teams to deliver actionable insights and recommendations based on data analysis, particularly focusing on A/B testing and digital analytics. You will lead a team in curating the experimentation roadmap and enable data self-service, ultimately enhancing the digital experience for customers.

Responsibilities

• Design experiments and provide actionable and scalable recommendations from the results
• Deliver in-depth analyses that are statistically sound and easily understood by non-technical audiences
• Curate the experimentation roadmap for the product and growth teams
• Enable data self-service by designing templates that are easy to understand using relevant KPIs
• Collaborate across analytics, engineering, and growth teams to improve the customer experience
• Distill knowledge of tests into playbooks for transforming the digital experience
• Identify causal relationships in data using advanced statistical modeling
• Segment users based on demographic, behavioral, and psychographic attributes
• Align analytics initiatives with broad business objectives to build long-term value
• Conduct deep-dive analyses to answer specific business questions and provide actionable recommendations

Requirements

• 8+ years of analytics experience
• 5+ years of experience in A/B testing
• Experience working with subscription metrics
• Strong work ethic and drive to learn
• Strong organizational skills with aptitude to manage long-term projects
• Expert SQL skills
• Extensive experience working with data engineering teams and production data pipelines
• Experience programming in Python, SAS, or R
• Experience in data modeling and statistics with knowledge of experimental design
• Development and training of predictive models
• Advanced knowledge of data visualization and BI in Looker or Tableau
• Ability to explain technical analyses to non-technical audiences

Nice-to-haves

• Advanced degree in Statistics, Mathematics, or a related field
• Experience with price testing and modeling price elasticity
• Experience with telehealth concepts
• Project management experience
• DBT, airflow, and Databricks experience

Benefits

• 401(k) matching
• Dental insurance
• Employee discount
• Employee stock purchase plan
• Health insurance
• Parental leave
• Unlimited paid time off