Staff Analyst, Operations

Hims & Hers

1d • Remote

About The Position

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. They 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. They provide access to personalized care designed for results by normalizing health & wellness challenges and innovating on their solutions. Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” As a Staff Analyst, Operations, this role will play a critical part in driving data-informed decision-making and operational performance improvements across Hims & Hers’ operations. The individual will operate as an experienced individual contributor, independently leading complex analyses, applying structured problem-solving, and translating data into actionable insights. This role bridges execution and strategy, owning meaningful analytical workstreams while influencing broader business decisions and approaches. The Staff Analyst will partner closely with Dispense & Fulfillment, Operations Assurance, Planning & Optimization, Compounding, Supply Chain, Quality and Operations Finance, and reports to the Director of Operations Analytics.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 1-10 employees