Growth & Commerce Product Analytics Lead

NBCUniversal; California; Hybride; USD 125 000 - 165 000; Plein temps

Avantages offerts par ce poste

Medical, dental, and vision insurance

401(k)

Paid leave

Tuition reimbursement

Résumé du poste

NBCUniversal in the United States is seeking a Lead for Product Analytics & Experimentation. This role sits at the intersection of product analytics, data science, and business strategy, and partners with product teams to drive data-informed decisions.

You will own acquisition analytics roadmaps, build scalable data pipelines in Databricks, and apply AI tools to streamline workflows while fostering an inclusive, high-performing team across hybrid work arrangements.

Qualifications

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

Responsabilités

• Partner with senior manager to optimize acquisition product experiences and align teams on goals.
• Execute an acquisition analytics and experimentation roadmap for Commerce Product & Growth.
• Leverage AI tools to streamline workflows and build scalable self-service solutions.
• Develop and maintain reliable data pipelines in Databricks with Data Engineering.
• Foster inclusion, empathy, and teamwork while driving business results.

Connaissances

Analytics engineering

Product analytics

Acquisition analytics

AI tools

Time series data

Data collection

Formation

Bachelor’s degree in quantitative field

Outils

Databricks

BigQuery

Tableau

Looker

Airflow

Description du poste

NBCUniversal in the United States is seeking a Lead for Product Analytics & Experimentation. This role sits at the intersection of product analytics, data science, and business strategy, and partners with product teams to drive data-informed decisions.

You will own acquisition analytics roadmaps, build scalable data pipelines in Databricks, and apply AI tools to streamline workflows while fostering an inclusive, high-performing team across hybrid work arrangements.