Staff Analyst, Product

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hims & hers

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2017

⚕️ Assurance santé

🛍️ eCommerce

🧘 Bien-être

Healthcare Insurance • eCommerce • Wellness

Hims & Hers est une plateforme de santé en ligne à 100% qui offre des soins et des consultations personnalisés pour la santé sexuelle, la repousse des cheveux, la perte de poids, les soins de la peau et la santé mentale. Avec plus de 2 millions d'abonnés, Hims & Hers met en relation les patients avec des professionnels de santé agréés, proposant des médicaments sur ordonnance et un soutien continu livré directement à leur porte. La plateforme vise à rendre les soins de santé accessibles, abordables et discrets, garantissant que les utilisateurs puissent gérer leur traitement de manière pratique via une application.

Description

• Provide thought leadership and strategic partnership to your product stakeholders, influencing roadmap decisions with data-driven insights • Own the experimentation strategy for your product team, including test design, success metrics, sample-size estimation, guardrails, and results interpretation • Work cross-functionally to define tracking requirements and ensure data integrity; lead analytics instrumentation • Design intuitive dashboards in Looker that democratize data and elevate data self-service capabilities • Create and maintain KPI frameworks and measurement plans for new features and initiatives • Champion data quality, documentation, and deliverable consistency, serving as a mentor to junior analysts • Identify causal relationships using advanced statistical modeling, quasi-experimental methods, and predictive modeling • Segment users based on demographic, behavioral, and psychographic attributes to tailor product experiences and lifecycle communications • Conduct deep-dive analyses to answer strategic business questions, quantify opportunities, and recommend clear actions

🎯 Exigences

• 8+ years of experience in analytics, data science, or a related quantitative field • Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related field • 5+ years of experience designing, executing, and analyzing A/B tests in a product environment • Experience working with subscription-based business models and metrics • Extensive experience working with data engineering teams and production data pipelines • Experience in data modeling and statistics; strong knowledge of experimental design + statistical inference • Expert SQL skills • Advanced experience with data visualization and BI tools such as Looker or Tableau • Experience programming in Python, SAS, or R • Development and training of predictive models • Ability to explain technical analyses to non-technical audiences, both peers and executives • Experience to shaping and influencing product strategy; not just executing analyses • A strong work ethic and proactive mindset; understanding a problem in detail and owning the resolution • Strong organizational skills with the ability to manage long-term projects from end to end

🏖️ Avantages

• 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