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Football Data Analytics Jobs (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$80K/yr

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

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Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$80K/yr

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

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Football Data Analytics information

What are the key skills and qualifications needed to thrive in the Football Data Analytics position, and why are they important?

To thrive in Football Data Analytics, you need a solid understanding of statistics, data modeling, and football tactics, often backed by a degree in mathematics, statistics, data science, or sports management. Familiarity with data analysis tools like Python, R, SQL, and sports analytics platforms (e.g., Opta, StatsBomb) is commonly required, as well as relevant certifications. Strong communication, problem-solving skills, and the ability to translate complex findings into actionable insights set top analysts apart. These abilities are crucial for providing valuable recommendations to coaching and management staff, ultimately helping to improve team performance and decision-making.

What is a Football Data Analytics job?

A Football Data Analytics job involves collecting, analyzing, and interpreting football-related data to provide insights that can improve team performance, player evaluation, and strategic decision-making. Analysts use statistical models, machine learning, and visualization tools to assess player metrics, match performance, and opponent strategies. These insights help coaches, scouts, and management make data-driven decisions in recruitment, tactics, and game preparation. The role requires a combination of football knowledge, data science skills, and proficiency in programming languages like Python or R.

What are typical daily responsibilities for someone working in Football Data Analytics?

In a Football Data Analytics role, your typical day might involve collecting and cleaning match data, conducting performance analyses, and preparing detailed reports for coaches or management. You could be responsible for designing predictive models to understand player efficiency, tracking team trends, or evaluating opponents using proprietary data sources. Collaboration with coaching, scouting, and medical teams is common, as you translate analytical insights into practical strategies. This role often requires juggling multiple projects at once and responding quickly to shifting team needs, especially during match preparations or transfer windows.

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Football Data Analytics jobs near you
Infographic showing various Football Data Analytics job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Part-time NGS Data Quality Engineer

Part-time NGS Data Quality Engineer

The National Football League

Inglewood, CA • Remote

Other

Posted 8 days ago

Job description

The NFL's Next Gen Stats team is seeking associates for its player tracking project to help with game data review and verification. Candidate will work closely with Next Gen Stats engineering team by assisting the team in reviewing all plays during live games in preseason and on Sundays during regular season, ensuring data is correct and making necessary changes when it is not. The ideal candidate for this position loves football and enjoys immersing themselves in data and finding insights. Candidates must be self-motivated and available on Sundays for the entirety of the season (Aug-Jan). NOTE: This is a remote position on Sundays only during the NFL season.

Essential Functions 

  • Review and verify data on all plays during live games 
  • Ensure all plays have data and video mapped properly 
  • Confirm player participation on a play-by-play basis 
  • Confirm all advanced statistics are created post play 
  • Make necessary changes to data when incorrect using in house developed web-based tools 

 Required Education and Experience 

  • Strong football knowledge 
  • Must be computer savvy (Chrome, Slack, Google Docs/Sheets, Zoom, etc.) 
  • Detail-oriented and reliable 
  • Strong problem solving and analytical skills 

 Preferred Education and Experience 

  • Hands on experience with data manipulation a plus 

 Other Key Attributes / Characteristics 

  • This is a remote position. 
  • Must work game days during preseason (Thu-Sun) and Sundays during regular season. 
  • Candidates must be available for all 18 Sundays during regular season. 
  • A reliable internet connection is required, everything else will be supplied. 
  • All applicants must be eligible to work in the United States. No relocation or visa sponsorship is available for this position. 

Terms / Expected Hours of Work 

  • 4-8 hours per Game Day 

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. 

Terms / Expected Hours of Work 

  • 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.

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