Director, Content Analytics

NBCUniversal•New York, NY

1d•Hybrid

About The Position

The Director, Content Analytics & Insights sits on the NBC/Bravo Cross-Platform Analytics team within NBCU Media Group Decision Sciences. The role leads content performance and forecasting for NBC and Bravo entertainment series across linear television and Peacock, serving as a strategic authority on content and audience intelligence. The Director manages a high-performing analytics team that delivers actionable insights, scalable analytical frameworks, and self-service data solutions for NBCU stakeholders and clients. The position partners with Content Programming, Scheduling, Marketing, Ad Sales/Finance, Communications, Strategy, Consumer Insights, and other Decision Sciences groups. It translates first- and third-party Nielsen data into clear recommendations that inform business decisions and affect the performance of NBC and Bravo entertainment series across linear and streaming platforms. The role also advances data democratization, performance storytelling, data-driven decision-making, and the use of AI to accelerate analysis and uncover actionable insights. This position currently follows a hybrid schedule, requiring work from an office at least four days per week. The company may change in-office requirements. The role is eligible for company-sponsored benefits and is bonus and long-term incentive eligible. Salary range: $130,000–$200,000.

Requirements

At least 8 years of experience in the media and entertainment industry, working with large, complex datasets, including Nielsen and first-party data, and advanced analytical tools.
Expertise in Nielsen measurement methodology and data and reporting systems, including NPower and NNTV.
Experience running complex segmentation analyses for linear/traditional and streaming content or platforms.
Ability to communicate effectively, confidently, and persuasively with stakeholders at all levels, especially executive leadership, and to present and speak extemporaneously in senior forums.
Strong working knowledge of the streaming and media landscape and appreciation for unscripted and scripted content.
Strategic, outcome-oriented thinking and ability to derive insights, conclusions, and recommendations from ambiguous or unstructured data from disparate sources.
Demonstrated ability to use AI tools and capabilities to improve workflows, including automating repetitive work, synthesizing large and disparate datasets, and identifying themes, patterns, and trends.
Collaborative leadership, intellectual curiosity, accountability, attention to detail, and ability to drive projects of varying scope with clarity and purpose.
Bachelor’s degree in a relevant quantitative or analytical field.
Advanced proficiency in Excel, PowerPoint, SQL, and Tableau.

Nice To Haves

Experience supervising entry-level and mid-career employees.

Responsibilities

Develop expertise in NBC Entertainment and Bravo content performance and audiences across linear and Peacock, serving as a trusted thought partner to senior stakeholders.
Use Nielsen and first-party data to develop cross-platform insights and translate measurement methodologies, KPIs, and complex analyses into clear written and verbal narratives and presentations for varied audiences.
Develop and oversee linear ratings forecasts and audience projections based on historical performance, marketplace trends, and viewing behaviors, providing guidance to Ad Sales, Finance, and Scheduling.
Partner with Consumer Insights to shape research agendas and deliver integrated perspectives on content performance and audience engagement through End of Season reports.
Provide strategic consultation and research support to Programming, Marketing, Finance, and Strategy, including responses to ad hoc and urgent requests, to inform content development, scheduling, promotion, audience growth, and franchise expansion.
Identify emerging audience trends and changes in viewing behavior across linear and streaming, and surface competitive intelligence, implications, and strategic opportunities.
Collaborate with Operations and Technology teams on requirements, design, development, and maintenance of data products that provide scalable, self-service access to insights.
Own projects from framing and planning through execution and delivery, ensuring timely, accurate outputs aligned with business objectives.
Promote data democratization, performance storytelling, and data-driven decision-making across the organization.
Use AI solutions to accelerate analysis, surface patterns and trends, and deepen actionable insight.
Lead, develop, and mentor a high-performing analytics team while fostering an inclusive, collaborative, and equitable culture.