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Football Statistical Analysis Jobs (NOW HIRING)

SumerSports LLC

Sr. Football Data Scientist

SumerSports is a leading football intelligence technology company that specializes in providing an ... analytics Github repos. * Solid foundation in statistical modeling and machine learning ...

SUNY Cortland

Assistant Coach, Football

Cortland, NY · On-site

$52K/yr

Analyze opponent game films and footage, statistics, and strategies to support game planning and in ... Maintain and build a competitive football program at the conference level. * Deliver effective ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$65K/yr

Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong mathematical, statistical, and/or analytical skills - ability to understand and calculate + convert ...

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Football Statistical Analysis information

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$30K

$70.5K

$117.5K

How much do football statistical analysis jobs pay per year?

As of Aug 7, 2026, the average yearly pay for football statistical analysis in the United States is $70,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $81,000.00 per year, depending on experience, location, and employer.

How does a football statistical analyst typically collaborate with coaches and players to improve team performance?

Football statistical analysts work closely with coaching staff and players to translate data insights into actionable strategies. They often attend team meetings, provide reports highlighting player and team trends, and suggest adjustments based on data-driven findings. Analysts may also present complex statistics in easily understandable formats, helping coaches make informed decisions about tactics, player selection, and training focus. This collaboration fosters a culture of continuous improvement and evidence-based decision making within the team.

What are the key skills and qualifications needed to thrive as a football statistical analyst?

To thrive as a Football Statistical Analyst, you need a strong background in mathematics, statistics, and data analysis, often supported by a relevant degree in statistics, data science, or sports analytics. Familiarity with data analysis tools such as Python, R, SQL, and sports-specific platforms like Opta or Wyscout is typically required. Excellent attention to detail, problem-solving skills, and the ability to communicate complex insights clearly are essential soft skills. These competencies enable analysts to provide actionable insights that inform coaching decisions, player recruitment, and overall team strategy.

What is the difference between Football Statistical Analysis vs Football Data Analyst?

AspectFootball Statistical AnalysisFootball Data Analyst
Required CredentialsDegree in Sports Science, Statistics, or related field; knowledge of data analysis toolsSimilar credentials; often includes certifications in data analysis or sports analytics
Work EnvironmentSports teams, analytics firms, or sports organizationsSports organizations, analytics companies, or media outlets
Employer & Industry UsageUsed primarily within sports teams and analytics firms to improve team performanceApplied across sports media, teams, and analytics services for insights and reporting

Football Statistical Analysis and Football Data Analyst roles share similar educational backgrounds and work environments. Both focus on analyzing football data to support team strategies and performance. However, Football Data Analysts often have a broader scope, including media and reporting, while Football Statistical Analysts may focus more on in-depth statistical modeling within teams or analytics firms.

What is football statistical analysis?

Football statistical analysis is the process of collecting, interpreting, and using data related to football matches, teams, and players to gain insights and improve performance. Analysts use various statistics—such as possession, passes completed, shots on target, and player movements—to inform coaching decisions, tactics, and player recruitment. This analysis can also be used by broadcasters, scouts, and fans to better understand the game and predict future outcomes. The field relies heavily on data science techniques and specialized software tools.
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What job categories do people searching Football Statistical Analysis jobs look for? The top searched job categories for Football Statistical Analysis jobs are:
Football Statistical Analysis jobs near you
Infographic showing various Football Statistical Analysis job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 14% Part Time, and 4% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $70,450 per year, or $33.9 per hour.

Seasonal Next Gen Stats Research Analyst

The National Football League

Inglewood, CA

Other

Re-posted 11 days ago

Job description

The NFL's Next Gen Stats team is seeking an experienced research analyst to help produce insights throughout the NFL season. This role's primary responsibility will be compiling pregame research packets and providing live in-game support for our broadcast partners to oversee integration of Next Gen Stats data into live game telecasts. Other responsibilities include supporting NFL+ and NFL.com content, assisting in the development of new statistics powered by football tracking data, and building dashboards to streamline research capabilities. Next Gen Stats Research Analysts will collaborate with other departments throughout the NFL Media organization, including the Next Gen Stats Engineering team and various content-focused groups. The ideal candidate will demonstrate deep football knowledge and acumen and a background in research, statistics and/or analytics.  Candidates must be self-motivated and work well under tight deadlines.

Responsibilities

  • Develop original storylines and analysis based on own research within large data sets
  • Deliver weekly game preview packets to broadcasters breaking down matchups and highlighting key team tendencies, strengths, and weaknesses
  • Collaborate with NFL owned & operated content verticals and third-party broadcast partners to provide them with engaging Next Gen Stats narratives and supporting data
  • Maintain and 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
  • Drive development of new football analytics using Next Gen Stats
  • Ensure accuracy of data before distribution 

Required Qualifications

  • Bachelor's Degree in a related field
  • Extensive football knowledge required
  • Comfortable working with large sets of data
  • Coding skills not mandatory, but encouraged
  • Strong written and verbal communication skills
  • Ability to quickly learn new systems and tools
  • Must be able to adhere to strict deadlines and react to breaking news
  • Strong grammar skills
  • Strong attention to detail

Preferred Education and Experience:

  • Experience playing, coaching, or scouting football is a plus
  • Experience cleaning, compiling, modeling, and analyzing football data, from play-by-play to frame-level tracking data
  • Proficient in writing complex queries using SQL
  • Proficient in Python and/or R for statistical analysis
  • Experience building dashboards using BI tools such as Tableau or Quicksight

Terms / Expected Hours of Work

  • Minimum 40 hours a week
  • May work overtime as needed (including Holidays)
  • Must be available to work a flexible schedule including weekends and holidays (specifically Sundays in-season)
  • Up to 7-month seasonal employment

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 in the location(s) specified. 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. 

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