Director, Product – Marketing Analytics

hims & hers

Director of Product & Marketing Analytics at Hims & Hers helping redefine healthcare by delivering personalized care through data-driven insights. Leading analytics efforts across product and marketing functions with a focus on retention and growth.

Posted 7/9/2026full-timeRemote • 🇺🇸 United StatesLead💰 $210,000 - $260,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in retention analytics, experimental design, and causal inference, with a strong ability to communicate complex data insights to executive leadership. Proven experience in leading analytics teams and managing projects in fast-paced consumer product environments, particularly in subscription models.

Highest-signal resume keywords

Retention AnalyticsExperimental DesignA/B TestingSQL ExpertiseTeam Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cohort AnalysisChurn DecompositionLTV ModelingIncrementality TestingCausal Inference Methods

Soft Skills

Strong CommunicationOrganizational Skills

Tools & Technologies

LookerGrowthBookTableauBigQuerySnowflake

Industry Keywords

Subscription AnalyticsConsumer ProductDTCData ScienceQuantitative Analysis

Tech Stack

Tools & technologies

BigQuerySQLTableau

About the role

Key responsibilities & impact

Serve as the analytics thought partner to GMs, VPs of Product, and Marketing leadership, shaping roadmaps and investment decisions through data
Represent analytics in cross-functional forums, translating technical findings into executive-ready narratives and influencing decisions at the C-suite level
Maintain visibility into macro-level business sensitivities: e.g., how a 2.5pp shift in retention translates to quarterly and annual revenue impact
Own retention analytics across the subscription lifecycle, including cohort design, churn window decomposition, and segment-level intervention prioritization (product type, WL prior experience, check-in engagement, dose adjustment)
Define hero metrics, guardrail metrics, and dashboard frameworks to monitor performance across membership and Rx subscription populations in real time
Design experimental and observational analyses to identify causal drivers of retention and churn, and translate findings into CRM, product, and clinical interventions
Partner with product and clinical teams on evaluation of new features and treatment protocols, side-effect management, check-in experience, snooze/save mechanics
Guide segmentation strategy across user attributes to prioritize where retention investment has the highest ROI
Lead the transition from MTA to MTI (Multi-Touch Incrementality), including MMM validation, incrementality test design (geo holdouts, go-dark tests), cross-category halo methodology, and calibration aligned to quarterly finance targets
Partner with Marketing leadership to assess paid channel efficiency across SEM, Social, OTT TV, Podcast, and emerging channels, with a clear view of where MTI and MTA diverge and why
Inform media mix decisions by quantifying cross-category halo effects and identifying where paid efficiency assumptions may be under- or overstated
Support A/B experiment design and analysis across CRM and marketing channels, including AI Decisioning pilots
Lead and develop a team of analysts, setting standards for rigor, documentation, experimentation methodology, and deliverable quality
Collaborate with Data Platform Engineering to define data model requirements, customer state snapshots, dosage/titration tables, retention PDTs
Ensure dashboards and self-serve assets are high-quality, well-documented, and actively used; drive Looker and GrowthBook adoption across product and marketing teams
Champion causal inference over correlation, actionable insight over descriptive reporting, and clear uncertainty communication
Manage FTE allocation across competing workstreams with real-time reallocation to high-urgency questions

Requirements

What you’ll need

12+ years in analytics, data science, or a related quantitative field; at least 3 years in a senior or lead role
Bachelor's in Statistics, Mathematics, Economics, Computer Science, Engineering, or related field; advanced degree a plus
Experience leading analytics teams in a fast-paced consumer product environment, ideally subscription or DTC
Deep expertise in experimental design, A/B testing, holdout groups, and causal inference methods
Deep experience with MMM and incrementality testing; comfort navigating disagreements between models
Strong command of retention and subscription analytics: cohort analysis, churn decomposition, LTV modeling
Expert SQL and experience with large-scale data warehouses (BigQuery, Snowflake, or equivalent)
Fluency with BI and experimentation platforms such as Looker, GrowthBook, or Tableau
Proven ability to communicate complex findings to non-technical executive audiences
Strong organizational skills, managing long-horizon projects while responding to time-sensitive 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