Staff Analyst, Operations

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve. 

Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit hims.com/about and hims.com/how-it-works . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.

As a Staff Analyst, Operations, you will play a critical role in driving data-informed decision-making and operational performance improvements across Hims & Hers’ operations.

You will operate as an experienced individual contributor who can independently lead complex analyses, apply structured problem-solving, and translate data into actionable insights. This role sits between execution and strategy—owning meaningful analytical workstreams while beginning to influence broader business decisions and approaches. You will partner closely with Dispense & Fulfillment, Operations Assurance, Planning & Optimization, Compounding, Supply Chain, Quality and Operations Finance. This role reports to the Director of Operations Analytics.

• Own end-to-end delivery of complex analytical projects with minimal oversight

• Structure ambiguous problems into clear analytical approaches and deliver actionable insights

• Apply statistical analysis, trend analysis, and operational frameworks to solve diverse business problems

• Adapt and apply established methodologies to new or evolving operational challenges

• Analyze operational performance (throughput, SLAs, cost, quality) and identify improvement opportunities

• Develop and refine KPI frameworks to support consistent performance measurement

• Monitor trends and proactively surface risks, inefficiencies, and optimization opportunities

• Design and evaluate experiments (A/B tests, pilots) to inform operational and product decisions

• Build scenario analyses and lightweight models to support planning and resource allocation

• Contribute to optimization efforts by quantifying tradeoffs and recommending data-driven actions

• Build strong relationships with cross-functional partners and begin influencing decision making

• Communicate insights clearly to both technical and non-technical audiences

• Support senior stakeholders by providing structured analysis and recommendations on key initiatives

• Partner with Analytics Engineering and Data teams to ensure data quality and availability

• Contribute to team best practices in analytics, problem solving, and stakeholder engagement

• Begin advising stakeholders on moderately complex analytical questions and business tradeoffs

• Develop clear, concise deliverables (analyses, dashboards, presentations) aligned to business needs

• Tailor communication style based on audience, including senior stakeholders

• Ensure insights are actionable and tied to measurable business outcomes

• 8+ years of experience in analytics, business intelligence, or data science

• Bachelor’s degree in Statistics, Mathematics, Economics, Analytics, Computer Science, Engineering, or a related field

• Advanced SQL proficiency; experience with Python or R for analysis

• Strong foundation in analytical methods (experimentation, statistical analysis, forecasting, or operational analytics)

• Demonstrated ability to independently execute complex analyses and deliver business impact

• Experience working with cross-functional stakeholders in operations, product, or finance environments

• Strong communication skills with the ability to translate data into clear insights and recommendations

• Ability to manage multiple priorities and adapt to evolving business needs

• Experience in fulfillment, supply chain, logistics, healthcare operations, or marketplace environments

• Familiarity with modern data tools (Google Big Query, dbt, Looker) from an analytics consumption perspective

• Experience defining KPIs and supporting performance management frameworks

• Exposure to experimentation, optimization, or operational modeling

• Advanced degree in a quantitative field (Statistics, Economics, Data Science, etc.)

• Familiarity with AI-assisted analytics tools or agent-based workflows (e.g., LLMs, copilots, automated querying/insight generation tools)

• Experience applying AI to accelerate analysis, improve decision-making, or scale insights in business contexts

• Understanding of limitations, risks, and validation approaches when using AI in analytical workflows