About the Role: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.
You Will:Analytical Execution & Problem Solving- 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
Operational Performance & Insights- 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
Experimentation & Decision Support- 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
Stakeholder Partnership- 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
Collaboration & Influence- 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
Reporting & Communication- 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
You Have:- 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
Preferred Qualifications:- 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
Our Benefits (there are more but here are some highlights):- 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