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Football Data Jobs in California (NOW HIRING)

Bay Football Club

Head of Data & Analytics

San Jose, CA · On-site

$140K/yr

While our community is our foundation, our love of football is our reason for being. We have the ... Position Summary The Head of Data & Analytics will lead the execution and adoption of Bay FC's data ...

Bay FC

Head of Data & Analytics

San Jose, CA · On-site

The Head of Data & Analytics will lead the execution of the club's data strategy, overseeing the ... football philosophy and supports the broader game model. • Champion ongoing research and ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ... Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

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All JobsFootball Data JobsFootball Data Jobs in California

Football Data information

See California salary details

$6

$24

$68

How much do football data jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for football data in California is $24.87, according to ZipRecruiter salary data. Most workers in this role earn between $13.65 and $27.31 per hour, depending on experience, location, and employer.

What is the difference between Football Data vs Football Analyst?

AspectFootball DataFootball Analyst
Required CredentialsData analysis certifications, knowledge of databasesSports science or analytics degrees, experience in sports performance
Work EnvironmentData centers, offices, sports analytics firmsStadiums, sports clubs, media outlets
Employer & Industry UsageSports analytics companies, clubs, betting firmsFootball clubs, media, coaching staff
Common Search & ComparisonYesYes

Football Data focuses on collecting, managing, and analyzing raw football statistics and datasets. Football Analysts interpret this data to provide insights, scouting reports, and strategic recommendations. While Football Data involves technical data handling, Football Analysts apply that data to real-world football scenarios, making their roles complementary but distinct.

What is a football data job?

Football Data jobs involve collecting, analyzing, and interpreting data related to football matches, players, teams, and leagues. Professionals in this field use statistics and advanced analytics to provide insights that help coaches, scouts, analysts, and media make informed decisions. Typical roles include data analyst, performance analyst, and data scientist, specializing in football. These jobs often require strong analytical skills, a good understanding of football, and proficiency with data analysis tools and programming languages.

What are some common challenges faced by professionals working in football data analysis?

Professionals in Football Data analysis often encounter challenges such as ensuring data accuracy in fast-paced match environments and translating complex statistics into actionable insights for coaches and players. The role typically involves working closely with coaching staff, scouts, and IT teams to collect, clean, and interpret large datasets. Adapting to evolving analytical tools and staying up-to-date with the latest metrics are also essential for success. Balancing the demands of live match analysis with post-match reporting can make time management a crucial skill.

What are the key skills and qualifications needed to thrive as a football data analyst, and why are they important?

To thrive as a Football Data Analyst, you need strong analytical skills, a background in statistics or mathematics, and knowledge of football tactics and gameplay. Familiarity with data analysis tools like Python, R, SQL, and sports analytics platforms, as well as experience with data visualization tools, is typically required. Attention to detail, critical thinking, and effective communication are vital soft skills for interpreting data and presenting insights to coaches and teams. These skills are essential for providing actionable insights that improve team performance and inform strategic decisions.
What are popular job titles related to Football Data jobs in California? For Football Data jobs in California, the most frequently searched job titles are:
What job categories do people searching Football Data jobs in California look for? The top searched job categories for Football Data jobs in California are:
Football Data jobs near you
Infographic showing various Football Data job openings in California as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $51,738 per year, or $24.9 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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