Director Of Product Analytics, Hims & Hers

• 10+ years of in-depth Analytics experience in partnership with Growth and Product Management departments
• Bachelor’s or Master’s degree in Computer Science, Analytics, or related field, or equivalent work experience
• Very strong communication skills. Able to effectively communicate in a clear and concise manner to various levels from early career staff to SVP level
• Experience with experiment design and A/B/n test analysis across multiple KPIs
• Ability to think through complex problems, determine proper analytical processes and procedures, independently derive conclusions and present results to the team
• Detail-oriented, attention to detail and exceptionally organized. Able to multitask, prioritize, and manage multiple projects in a fast-paced, ambiguous environment
• Experience with cross-team project management
• Expert proficiency with SQL
• Experience Python and/or R a plus
• Experience with web and app analytics platforms
• Experience with data visualization software
• Prior experience working with product machine learning implementations, causal inference, time series modeling, LTV calculations and segmentation

Desirable

• We are looking for an experienced, hands-on analytics leader to lead our Product Analytics team
• In this role, you will guide a team of managers and analysts and work cross-functionally with Product, Engineering, Data Science, and Business stakeholders to deliver data-driven insights that shape our product strategy and optimize user experiences
• Your success as Director of Product Analytics will come from continuously improving our understanding of the business within the ever-evolving healthcare landscape
• You will be expected to drive foundational analyses, experiment design, and metrics reviews across our breadth of product initiatives. You will work closely with senior leadership to make data-informed decisions that drive user and revenue growth
• Lead and grow product data analysts who will support and provide insights and direction to business stakeholders
• Lead the sophisticated design, implementation, and measurement of various experiments to understand the incremental impact of product changes and user flow updates
• Partner with Data Science and Machine Learning teams to implement Machine Learning programs across product teams to drive the business forward
• Act as a trusted advisor to product leadership by providing strategic insights and actionable recommendations
• Translate complex data into clear narratives that influence product decisions and priorities
• Partner with Product leads to identify new reporting and data requirements, document requirements, build reports, and coordinate with engineering to provide the necessary data points
• Be the subject matter expert on identifying customer trends and diagnosing data anomalies
• Contribute to and help the Analytics and Data Science group become world-class via mentoring others, contributing to cross-functional efforts, investigate new methods and continually showcase excellence in analytics outputs to others