Manager, FAST Analytics
About The Position
The Manager of FAST Analytics is responsible for enabling the strategic growth, operational performance, and long‑term value creation of the company’s Free Ad‑Supported Streaming TV (FAST) business through rigorous analytics, insight generation, and decision support. Reporting into the Media Group Decision Sciences organization and partnering closely with the Sr. Manager, Distribution & Partnership Strategy, this role sits at the intersection of content, distribution, advertising, product, and analytics within a highly matrixed organization. Success in this role requires the ability to translate complex data into clear strategic insights that help scale the FAST business profitably while avoiding cannibalization of the company’s content licensing business and direct‑to‑consumer streaming platform (Peacock). The Manager will develop and maintain the analytical frameworks, performance measurement systems, and economic models that inform strategic guardrails, evaluate tradeoffs, and reinforce operating rhythms that ensure FAST complements—and strengthens—the broader portfolio ecosystem. This is an individual contributor role requiring strong cross‑functional influence, analytical rigor, and a deep understanding of the evolving streaming, advertising, and content marketplaces. The Manager of FAST Analytics will serve as a trusted thought partner to the Sr. Manager, Distribution & Partnership Strategy and functional leaders, shaping decisions through data‑driven storytelling, forward‑looking insights, and a disciplined view of value creation. Qualified candidates may be asked to complete a skills assessment.
Requirements
- 4+ years in data analytics, measurement, or content analytics roles, ideally direct experience with FAST platforms, AVOD, or ad supported streaming
- Demonstrated experience translating business questions into data solutions and measurement frameworks.
- Proficiency in SQL and data visualization tools (e.g., Tableau); familiarity with additional programming languages (Python, R) is a plus.
- Experience working with large-scale data sets and data visualization tools such as Tableau or Looker.
- Proven ability to work cross-functionally within complex, matrixed organizations
- Bachelor’s degree or equivalent; preferred in a quantitative or technical field (e.g., Data Science, Statistics, Economics, Computer Science).
- Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time.
Nice To Haves
- Strong communication skills, with the ability to synthesize complex data into clear insights and influence decision-making.
- High attention to detail, intellectual curiosity, and comfort navigating ambiguity in a fast-paced environment.
Responsibilities
- Provide analytic support and actionable insights to the Sr. Manager, Distribution & Partnership Strategy and leadership, guiding strategy, prioritization, and decisions across content, distribution, advertising, and product.
- Develop, maintain, and refine models and frameworks to assess FAST and Peacock growth, risks, and performance
- Establish and track KPIs for channel, content, ad efficiency, and partner value.
- Lead forecasting, scenario planning, and sensitivity analysis for annual and quarterly planning, evaluating risks and opportunities related to content mix, channel and distribution expansion, and audience growth.
- Collaborate with cross-functional teams (Content, Ad Sales, Distribution, Product, Finance, Research) to ensure metric alignment and consistent interpretation of FAST performance.
- Generate clear, actionable insights from first- and third-party data and market intelligence, elevating analytics from reporting to strategic recommendations.
- Support the Sr. Manager, Distribution & Partnership Strategy in establishing data-driven operating rhythms, governance, and performance reviews, ensuring analytical rigor and clear guardrails in decision forums.
- Identify and drive improvements in data infrastructure, tools, and self-service analytics with data and technology partners.
Benefits
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Number of Employees
5,001-10,000 employees
