Sr. Analyst, Cross 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, GolfNow, GolfPass, and SportsEngine. 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.

Job Description

About the Role

Peacock’s Advanced Analytics team is hiring a Senior Analyst who turns data into stories that shape strategy. You will work across Peacock and NBCU’s digital products to uncover insights that keep viewers engaged and coming back. If you enjoy solving messy data problems, building beautiful Tableau dashboards, and finding patterns others miss, this is your kind of role.

You will be hands-on every day: querying, validating, fixing, and visualizing data that drives decisions across product and marketing. Your work will help teams see the “why” behind the numbers and make smarter choices faster.

Why You’ll Love It Here

You will join a team that values curiosity, precision, and creativity. At Peacock, data is more than numbers; it is the foundation of every product and marketing decision. You will work in a start-up-minded environment inside one of the world’s most recognized media companies, helping to define how millions of fans connect with content.

What You’ll Do

• Analyze data across Peacock and NBCU digital apps to reveal user behaviors, engagement trends, and retention opportunities.
• Build visually striking and highly functional Tableau dashboards that influence product and marketing strategy.
• Find, diagnose, and fix data issues that affect accuracy and consistency.
• Partner with Data Engineering, Product, and Data Engineering to define requirements, testing frameworks, and best data practices.
• Support A/B and multivariate test setup, measurement, and insight generation.
• Track OKRs, KPIs, and forecasting models that inform strategic planning.
• Present findings clearly and persuasively to both technical and non-technical audiences.

Qualifications

What You Bring

• 2+ years of analytics or business intelligence experience in direct-to-consumer, streaming, digital, or subscription businesses.
• Strong SQL skills in Databricks, Snowflake, or BigQuery, with attention to efficiency and accuracy.
• Advanced Tableau skills with an eye for design, usability, and storytelling.
• Experience in data QA and debugging across large datasets.
• Familiarity with experimentation and statistical methods such as A/B testing, regression, or clustering.
• Excellent communication and collaboration skills with cross-functional partners.
• Bachelor’s degree in a quantitative field such as Statistics, Economics, Engineering, Computer Science, or Data Science.

Nice to Have

• Experience with Amplitude, Adobe Clickstream data, mParticle, or LaunchDarkly.
• Experience with Python or R for advanced analysis or automation.
• Background in digital media, content engagement.

Additional Requirements

• Hybrid: This position has been designated as hybrid, which currently requires contributing from the office a minimum of three days per week. Beginning January 5, 2026, hybrid employees will be required to work from the office a minimum of four days per week. The Company reserves the rig