Lead, Commerce & Growth Product Analytics

About the role

The Product Analytics & Experimentation team supports a data-driven, results-focused product organization. We are looking for a Lead who thrives at the intersection of product analytics, data science, product development, and business strategy, bringing technical expertise, analytical rigor, and product background.

What you'll do

• Partner with the Senior Manager of Product Analytics to optimize acquisition product experiences, aligning cross-functional teams on performance against key goals.
• Execute against an acquisition analytics and experimentation roadmap for Commerce Product & Growth teams.
• Leverage AI tools to streamline workflows and build scalable self-service solutions for stakeholders.
• Develop and maintain reliable, high-performance data pipelines in Databricks in collaboration with Data Engineering.
• Foster a culture of inclusion, empathy, analytical rigor, and teamwork.

Requirements

• Bachelor's degree in a quantitative discipline or equivalent professional experience.
• 4+ years of experience with analytics engineering and product analytics stack (Databricks, BigQuery, Tableau, Looker, Airflow, etc.).
• 4+ years of applied experience in acquisition, subscriptions, direct to consumer or media entertainment.
• Experience using AI-enabled tools to streamline work and solve problems.
• Experience performing analysis with large time series datasets and defining data collection/measurement requirements.

Nice to have

• Prioritizes accuracy and quality; growth mindset.
• Collaborative, skilled at aligning insights and technical solutions with business objectives.

Schedule

Hybrid — currently requires contributing from the office a minimum of four days per week.

Pay & benefits

Salary range: $125,000–$165,000/yr (bonus and long-term incentive eligible).