Lead, Commerce & Growth Product Analytics

About the position

As part of the Product Analytics & Experimentation team, we support a data driven and results focused product organization. The ideal candidate thrives at the intersection of product analytics, data science, product development and business understanding. The candidate will have strong technical, analytical and product background.

Responsibilities

• Partner with the Senior Manager of Product Analytics to optimize acquisition product experiences, providing a data-driven, objective perspective that aligns cross-functional teams on performance against key goals.
• Execute against an acquisition analytics and experimentation roadmap for Commerce Product & Growth teams, ensuring insights drive meaningful improvements.
• Champion Databricks adoption within the team, enabling analysts and stakeholders to independently access, explore, and interpret key metrics.
• Lead the integration of critical new data sources (e.g., transactions, page latency, error events) into existing data platforms to enhance analytical depth.
• 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, while driving the company's success.

Requirements

• 4+ years of experience working with analytics engineering and product analytics stack (e.g. Databricks, BigQuery, Tableau, Looker, Airflow, dbt, Github, etc.)
• 4+ years of applied experience in acquisition, subscriptions, direct to consumer or media entertainment. Familiarity with data challenges specific to subscription and user behavior analytics.
• Proficiency in dimensional modeling and designing datasets for business analytics use cases, preferably within Databricks.
• Advanced SQL skills for analytics and data analysis (Python or R.)
• Experience performing analysis with large time series datasets.
• Experience in defining data collection and measurement requirements.

Nice-to-haves

• Curious and passionate about democratizing data access and scalability; you operate with a bias for informed action.
• Possess a growth mindset and see failure as a necessary step towards advancing learning of yourself and those around you.
• Collaborative and skilled in working across teams to align insights and technical solutions with business objectives.

Benefits

• Medical, dental and vision insurance
• 401(k)
• Paid leave
• Tuition reimbursement
• Variety of other discounts and perks