We are seeking a Senior Analyst of experimentation to help support our A/B/N testing efforts across multiple Product teams (Viewing, Commerce, Personalization, and Editorial).

NBCUniversal is looking for a detail-oriented Data Product Manager As a member of the Decision Sciences team, you will champion a Data-as-a-Product mindset. Bringing in-depth data understanding to the team, you will play a key role in owning, managing and supporting the data across the underlying systems and technology stack. The data in focus will be driven from the product experience across growth, acquisition, engagement, ads and churn experiences.

As part of the Peacock Data Science team, the Lead Data Scientist will be responsible for creating recommendation and personalization solutions for one or more verticals of Peacock Video Streaming Service. Responsibilities include, but are not limited to: Work with a group of data scientists in the development of recommendation and personalization models using statistical, machine learning and data mining methodologies. Drive the collection and manipulation of new data and the refinement of existing data sources. Translate complex problems and solutions to all levels of the organization.

The Media Group at NBCU supports a powerhouse collection of consumer-first brands including Peacock, NBC, Bravo, NBC Sports, and NBCU International. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We’re always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we’re backed by a culture of respect. We embrace authenticity and inspire people to thrive.

What you'll do: Partner with Product teams to understand app performance and deliver recommendations to expand and engage with key audiences Prepare and lead presentations with cross-functional and executive stakeholders Work within large datasets to interpret trends and turn those into actionable recommendations Build and distribute actionable dashboards or reports to ensure data democratization and informed decision making Advise on hypotheses and A/B Test Design.

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 Commerce Product teams to surface growth opportunities and formulate recommendations in service of improving new paid customer acquisition.

Partner with Viewing Product teams to understand app performance and deliver recommendations to expand and engage with key audiences Understand how users navigate the app experience as they enter video playback Work within large datasets to interpret trends and turn those into sound recommendations Maintain, update, and distribute actionable dashboards or reports to ensure data democratization and informed decision making Partner with Data Engineering teams to identify and enhance data sources Prepare and inform material for senior level executive presentations Leverage data visualization t

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.

What you'll do: Partner with Viewing Product teams to understand strategic roadmaps and how metrics will influence their decisions Drive adoption of Databricks for self-serve analysis, enabling stakeholders to independently access and analyze key metrics. Democratize data access by developing tables and data sets to support efficient self-service exploration and analysis Work within large datasets to interpret trends and turn those into actionable recommendations Work with data engineering and analytic/data science partners to create opinionated datasets to unlock business insights.