Sr. Analyst, Media Analytics & Attribution

Job Description

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.

Key Responsibilities

• Manage and maintain critical attribution models that drive key media decisions, including MTA and other proprietary and innovative techniques
• Upkeep, maintain, and upgrade existing media attribution tools and datasets
• Help lead innovation within the media analytics team with novel ideas, underpinned by mathematical rigor, that improve reporting and optimal decision-making across multiple KPIs (subscriptions, engagement, usage, lifetime value, etc.)
• Conduct deep dives and exploratory analyses to identify trends, patterns, and key drivers within data to inform strategic decision-marking for the NBCU/Peacock business
• Produce reporting that ties key executive questions back to existing data trends and observations across various KPIs, such as media ROI for conversions and platform engagement
• Contribute to cross-technique measurement efforts, triangulating learnings across other key measurement systems, including Marketing Mix Modeling and experiments
• Partner with media decision makers to enhance optimization capabilities
• Explore connections with broader internal and external teams (including vendors and media platforms) to expand data capabilities, usage, and reporting
• Provide support for existing and growing third-party workflows

Qualifications

• Bachelor’s degree in Mathematics, Statistics, or other STEM field with 2+ years of experience in an analytics centered role. Media analytics preferred.
• Proficient in SQL and at least one OOP language (R or Python preferred).
• Strong grasp of Machine Learning concepts and implementations (Regression, Classification/Clustering, Dimensionality Reduction).
• Proficient in tools like Tableau or other data visualization software
• Effective communicator and collaborator with strong project management and problem-solving skills.
• Ability to work independently. manage multiple projects simultaneously, and meet deadlines

Desired Characteristics

• Experience, either in business or academic studies, building and maintaining models using big data
• Familiarity with, or interest in, multi-touch attribution (MTA), media mix modeling (MMM), customer journey analytics
• Ability to navigate through ambiguity, collaborate effectively, and build consensus in a highly matrixed environment
• Demonstrates strong sense of curiosity, accountability, and ability to execute projects of all sizes with vision & purpose

Additional Responsibilities

• 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 right to change in-office requirements at any time.
• This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website.
• Salary range: $85,000 - $115,000.

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.