Manager, Partnership Analytics

Meet Peacock, NBCUniversal’s fast growing streaming service that combines timeless shows and movies, exclusives and originals, kids programming and current hits, with timely news, sports and pop culture. This position is a part of the Decision Sciences team (Partnership Insights and Strategic Analytics) with a charter to provide end-to-end data and analytic support for Peacock distribution and partnerships, providing data enablement, forecasting, reporting and advanced analytic support. This position will be a part of the analytics segment of the team, with a specific focus on digging deep into extensive datasets to uncover insights that have a tangible impact on Peacock’s growth. Their work will be very visible across the Peacock organization; they will consistently deliver insights that drive Peacock’s strategy around platforms, streaming bundles and partnership offers. This position will collaborate heavily with additional Decision Sciences teams to align on and/or enhance developed methodologies and findings. Additionally, this position will work very closely with business stakeholders, including Partnerships, Finance, Marketing and Product. Selected candidates will be required to complete a SQL assessment through the interview process. Day-to-day: · Partner and build relationships with Partnership stakeholders, gaining a deep understanding of their business needs, to deliver analyses that tie directly to informing their strategic decisions · Query and analyze complex data sets to provide advanced analytical support with a specific focus on surfacing actionable insights that influence distribution and offer strategy · Synthesize complex analyses, KPIs, and concepts into digestible presentations for a variety of audiences, including key stakeholders and leadership · Build robust data methodologies that develop new or iterate on existing performance metrics · Evangelize data democratization and data-driven decision making throughout the organization · Support business stakeholders with ad-hoc data/analytic requests · Work with additional analytics teams on cross-functional analyses for the business · Identify data challenges as it relates to our partners; work closely with Partnership Measurement, Data Product and Engineering teams to resolve · Build, improve and maintain reports, dashboards, and trackage of performance metrics that help inform cross-functional stakeholders · Partner with Data Science and Consumer Insights team members to enhance developed methodologies, metrics and insights · Partner with Finance on Lifetime Value modeling exercises