Director, Product Analytics

Help empower our global customers to connect to culture through their passions.

Why you’ll love this role

You will love this role if you want to have tangible impact quickly. You will have the opportunity to:

• Influence decisions on StockX’s website and apps in order to improve the experience of millions of users
• Develop as a senior leader as you work with VP-level stakeholders
• Shape this analytics team’s vision, its operating model, and its methodological rigor

What you’ll do 

We are seeking a Director of Product Analytics to lead and mentor a team of talented analysts supporting StockX’s Product team, to develop actionable insights and drive impact via improving our website and app experiences. This analytics team uses data to report on product performance. It uses experimentation and modeling to improve product performance via more effective user acquisition, retention, and monetization. The Director:

• Sets the vision and direction of this analytics team, within the larger vision / framework set by the Sr. Director, Analytics
• Collaborates with the VP of Product to develop a shared understanding of the Product areas with highest leverage to grow our business
• Collaborates with Data Engineering to ensure it produces the data Product Analytics needs
• Collaborates with other teams inside the larger Analytics teams (Marketing Analytics and Business Operations Analytics), to ensure the advice of the three teams is consistent with each other and with the company’s strategy
• Uses descriptive, diagnostic, predictive, and prescriptive analytics, including experimentation (A/B testing mostly), to develop actionable insights
• Presents these insights to VP and C-level executives in order to persuade them to take action
• Manages Product Analytics team by creating team roadmap, prioritizing project requests, assigning projects to ICs, tracking project progress, signing off on team deliverables, and carrying out project retrospectives
• Manages, motivates, mentors, and evaluates performance of the individual contributors on the team
• Uses statistics / experimentation skillsets to uplevel and maintain the team’s methodological rigor

About you

• Strong background in product analytics / data science. Proven experience managing at least a small team
• PhD level understanding of statistics (PhD degree strongly preferred)
• 6+ years of experience in experimentation (A/B testing mostly; experience with geo-randomized experiments and quasi-experimental methods a strong plus)
• Proficiency in analytics tools and techniques (e.g., SQL, Python, R, Tableau)
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