Staff Analyst, Operations

hims & hers

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

Posted 4/21/2026full-timeRemote • 🇺🇸 United StatesLead💰 $150,000 - $190,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

statistical analysistrend analysisoperational frameworksKPI frameworksA/B testingscenario analysisdata-driven decision makingSQLPythonR

Soft Skills

problem solvingcommunicationstakeholder engagementinfluencingadaptabilityrelationship buildingindependent executionclarity in insightsprioritizationcollaboration

Certifications

Bachelor’s degree in StatisticsBachelor’s degree in MathematicsBachelor’s degree in EconomicsBachelor’s degree in AnalyticsBachelor’s degree in Computer ScienceBachelor’s degree in Engineering