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National Football League Senior Manager of League Reporting and Analytics for NFL Properties in New York, New York

Manage, create, deliver, and track international media consumption reporting during NFL season and provide business analytics to support the expansion of NFL international business. Provide analysis and insights on international viewership and ratings trends with comparisons to domestic business and to other sports leagues to aid in strategic business decisions in the international market. Manage international data in AWS database, and set up APIs from different media outlets to aggregate data for international media dashboard. Collect and manage NFL consumption data across linear TV, digital streaming, social media, owned and operated digital platforms, direct to consumer platforms, and sports betting. Co-create and update international media dashboard using Power BI tool. Maintain and optimize PowerBI dashboard. Use data analytics to forecast annual KPI targets for each market by combining historical trend analysis and macro and internal variables. Create materials for PR and internal communications for regular season games, draft, international series games and Super Bowl media consumption. Oversee and manage analytics projects. Create and manage international matchup selection model to help broadcasters make data driven decisions and optimize their NFL broadcast schedules. Requirements: Bachelor’s degree or foreign equivalent in Communications, Economics, Business Administration, Business Analytics, or related. Two years of experience managing, creating, delivering, and tracking international media consumption reporting. Must have experience: providing analysis and insights on international viewership and ratings trends; collecting and managing consumption data across linear TV, digital streaming, social media, owned and operated digital platforms, and direct to consumer platforms; using data analytics to forecast annual KPI targets for different markets by combining historical trend analysis and macro and internal variables; conducting marketing analysis and proposing market entry strategies; overseeing and managing analytics projects; developing process improvements and analytical frameworks; and applying quantitative methods, including regression, multivariate and graphical methods to analyze and interpret economic and econometric information from complex data sources. Must have experience with the following tools/technologies: Python, R, SAS, JavaScript, Tableau, Excel, AWS, SQL, and Power BI.

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