Lead, Commerce & Growth Product Analytics

NBCUniversal • Universal City, CA

2d • $125,000 - $165,000 • Hybrid

About The Position

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, who will bring a strong combination of technical expertise, analytical rigor, and product background.

Requirements

• Bachelor’s degree in a quantitative discipline or equivalent professional experience
• 4+ years of experience working with analytics engineering and product analytics stack (e.g. Databricks, BigQuery, Tableau, Looker, Airflow, 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.
• Experience using AI-enabled tools to streamline work, solve problems, or create efficiencies
• Experience performing analysis with large time series datasets.
• Experience in defining data collection and measurement requirements.

Nice To Haves

• Prioritizes accuracy and quality, ensuring reliable, error-free results.
• 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.

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.
• 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, while driving the company's success.

Benefits

• medical, dental and vision insurance
• 401(k)
• paid leave
• tuition reimbursement
• a variety of other discounts and perks

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level