Staff Analyst, Hims & Hers

• 8+ years of experience in analytics, data science, or a related quantitative field
• Proven ability to own complex, ambiguous problems and drive measurable business impact
• Expert SQL skills, including working with large datasets and writing optimized queries
• Strong experience with data modeling and collaboration with data / analytics engineering (e.g., dbt)
• Advanced experience with BI tools (e.g., Looker), including building scalable dashboards and defining shared metrics
• Proficiency in Python or R for data analysis (e.g., pandas, statistical analysis)
• Strong business acumen and ability to connect insights to operational and strategic decisions
• Demonstrated ability to operate independently, prioritize effectively, and execute in ambiguous environments
• Excellent communication skills, with the ability to translate complex analyses into clear, actionable recommendations
• Experience partnering cross-functionally and influencing stakeholders at multiple levels

Desirable

• We’re looking for a Staff Data Analyst to join our Care Analytics team at Hims & Hers. In this role, you will act as a hands-on, strategic analytics partner, helping shape how we measure, understand, and improve the end-to-end patient care experience
• You will partner closely with Care Experience, Clinical, Operations, Product, and Engineering teams to solve complex problems, identify opportunities, and drive improvements in care quality, business performance, and patient outcomes
• As a Staff Analyst, you will operate with a high degree of autonomy, owning ambiguous, high-impact problems end-to-end, influencing cross-functional decisions, and setting the pace for analytical execution across the Care organization
• Own and drive high-impact analytical problems across Care, from problem definition through execution and recommendation
• Translate ambiguous business questions into structured analytical approaches and clear, actionable insights
• Lead deep-dive analyses into care operations, patient journeys, and provider workflows to identify inefficiencies and opportunities
• Define and own core Care metrics and KPI frameworks, ensuring consistency and alignment across teams
• Build and scale dashboards, reporting, and data foundations to support both operational and strategic decision-making
• Partner with Analytics Engineering to improve data models, data quality, and accessibility of Care data
• Proactively surface insights that influence prioritization and inform cross-functional roadmaps
• Communicate complex findings clearly to diverse audiences, including senior stakeholders, and drive data-informed decisions
• Act as a trusted partner and subject matter expert across Care, Clinical, Operations, Product, and Engineering
• Mentor other analysts and contribute to raising the bar for analytical rigor, best practices, and team impact