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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.
Job Responsibility:
Analytical Execution & Problem Solving
Operational Performance & Insights
Experimentation & Decision Support
Stakeholder Partnership
Collaboration & Influence
Reporting & Communication
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 have:
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
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
What we offer:
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