Summary
The NFL's Next Gen Stats team is seeking an experienced research analyst to help develop storylines using Next Gen Stats data to help support various platforms across the NFL, including NFL Network, NFL.com, NFL+ along with integrating Next Gen Stats data into live game telecasts with our broadcast partners. Next Gen Stats Research Analysts will work closely with various teams throughout the organization including Next Gen Stats Product and Engineering and various production groups. The ideal candidate will have a background in research, statistics and/or analytics while being an avid football fan with extensive knowledge of the players and game. Candidates must be self-motivated and work well under tight deadlines.
Essential Functions
- Responsible for developing storylines based on own research within large data sets
- Collaborate with NFL owned and operated and third-party broadcast partners to provide them with engaging Next Gen Stats narratives and supporting data
- Responsible for developing ideas for various forms of content for studio production shows and helps see that the ideas are executed as graphics, segments, pieces and more.
- Deliver weekly game preview packets to broadcasters breaking down matchups and highlight key team tendencies, strengths, and weaknesses
- Develop original storylines and data points that provide statistical analysis of events, news stories and topical issues.
- Maintain and continue to improve Next Gen Stats research dashboards
- Recognize and anticipate league and team trends, applying appropriate statistics to create content for various platforms including social media
- Assist production team with Next Gen Stats data research tool
- Initiate development in football analytics using Next Gen Stats
- Ensure accuracy of data before distribution
Required Education and Experience
- Bachelor's Degree in related field
- Extensive football knowledge required
- Comfortable working with large sets of data
- Coding skills not mandatory, but encouraged
- Must be able to communicate information accurately
- Ability to quickly learn new systems and programs
- Must be able to adhere to strict deadlines and react to breaking news
- Strong attention to detail
Preferred Education and Experience
- Experience building analysis using football statistics
- Proficient writing complex queries using SQL
- Proficient in Python and/or R for statistical analysis
- Experience using BI tools such as Tableau or Quicksight
Other Key Attributes / Characteristics
Supervisory Responsibility
Physical Demands
Travel
Expected Hours of Work
- May work overtime as needed (including Holidays)
- Must be available to work a flexible schedule including weekends and holidays (specifically Sundays in-season)
Salary / Pay Range
- This job posting contains a pay range, which represents the range of salaries or hourly rates that the NFL believes, in good faith, at the time of this posting that it might be willing to pay for the posted job. The NFL expects to hire for this position near the middle of the range. Only in truly rare and exceptional circumstances, where an external candidate has experience, credentials or expertise that far exceed those required or expected for the position, would the NFL consider paying a salary or rate near the higher end of the range.
The NFL maintains a Flexible Workplace Policy that provides members of our workforce with opportunities to periodically work from a location of their choice while maintaining a priority on in-person work at an NFL office, which enables us to more effectively collaborate, connect, and build a workplace culture that will drive our continued success.
The NFL is committed to building a diverse, equitable, and inclusive work environment that reflects our incredibly diverse fan base. We provide an environment of mutual respect where equal employment opportunities are available to all employees and applicants without regard to status as protected by applicable federal, state, or local law.
Estimated Salary range:
Our salary intelligence, powered by our AI algorithms, has calculated an estimated range for this position between $45,000 - $55,000 . Please note that the actual salary for this position may vary, as it is dependent on various factors including but not limited to experience, location, and market dynamics.
