Analyst, Global Streaming Product Analytics

Company Description

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service.

We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Comcast NBCUniversal has announced its intent to create a new publicly traded company ('Versant') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, Golf Now, Golf Pass, and Sports Engine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content.

The spin-off is expected to be completed during 2025.

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 a technical curiosity, analytical and product background with strong communication skills and the ability to inform strategy and influence decisions that make an impact in the organization.

The candidate will be an analytics partner for the Now organization, focused on acquisition, engagement and retention analysis to drive business impact. They will collaborate across product, engineering, business and other experts to execute on the organization's strategic vision. The individual will develop and execute an analytics strategy, translating insights into actionable decisions throughout the entire product lifecycle.

They will partner with core product and business stakeholders, responsible for owning and delivering the data and metrics that drive core business decisions on the product direction and features as well as partnering with other data and decision science teams to share best practices and improve capabilities around data modeling, instrumentation, analytics frameworks, and self-service analytics tooling.

• Partner closely with the Product teams and stakeholders to deeply understand the product, product vision and measure the impact that core product features and changes drive for the business.
• Design, build and maintain interactive dashboards and reports using data visualization tooling to empower stakeholders to track trends and drive data driven decision making, providing ongoing reporting.
• Translate business objectives into clear, measurable metrics, owning the definitions and democratization and usage, while authoring the technical specifications for engineering and instrumentation teams.
• Analyze user interaction patterns across the platform, surfacing insights on engagement, retention and acquisition and recommend product/UX improvements that drive KPIs.
• Diagnose platform or data anomalies, troubleshoot issues, conduct root-cause analysis and deliver rapid, scalable solutions that restore reliability and confidence in analytics ecosystem.
• Prepare and inform materials for stakeholders and leadership teams

• BA/BS or MS degree, ideally in Data Science or a quantitative field.
• One year experience…