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Football Data Analyst 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 ...

TOGETHXR

Head of Data & Analytics

San Jose, CA · On-site

$126 - $154/hr

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

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... 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

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$65K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$65K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

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All JobsFootball Data Analyst JobsFootball Data Analyst Jobs in California

Football Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do football data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for football data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is a football data analyst?

A Football Data Analyst collects, processes, and interprets football-related data to provide insights for teams, coaches, and scouts. They use statistical analysis, tracking data, and performance metrics to evaluate players, tactics, and opposition strategies. Their work helps improve team performance, recruitment decisions, and match preparation. Analysts often use software, coding languages, and data visualization tools to present findings effectively.

What are some typical daily responsibilities of a football data analyst?

A Football Data Analyst typically spends their day collecting and processing match or training data, conducting statistical analyses to identify trends, and preparing reports or visualizations for coaches and management. They often attend team meetings to discuss insights and collaborate closely with coaching staff and other performance professionals. The role also involves staying updated on the latest analytical tools and methods, ensuring the team leverages cutting-edge techniques. Effective communication and adaptability are essential, as priorities can shift quickly based on match schedules or management needs.

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

To thrive as a Football Data Analyst, you need strong statistical analysis skills, expertise in football tactics, and usually a degree in mathematics, statistics, sports science, or a related field. Proficiency in data analysis tools like Python, R, SQL, and sports analytics platforms such as Opta or Wyscout is commonly required, along with certifications in data analysis or relevant software. Attention to detail, effective communication, and teamwork are vital soft skills for conveying insights to coaches and collaborating with diverse teams. These skills enable the analyst to accurately interpret data, support performance improvements, and drive informed decision-making within a competitive sports environment.

Do NFL teams hire football data analysts?

Yes, NFL teams often hire football data analysts to evaluate player performance, develop strategies, and improve team decision-making using advanced statistics and data analysis tools. These roles typically require strong analytical skills, knowledge of football, and proficiency with data software such as SQL or Python.

How to become a football data analyst?

To become a football data analyst, you typically need a strong background in statistics, data analysis, or sports science, often gained through a relevant degree or certification. Proficiency in data tools like Excel, SQL, and programming languages such as Python or R is essential, along with knowledge of football tactics and metrics. Gaining experience through internships or entry-level roles in sports analytics can also help build a career in this field.

What does a football data analyst do in football?

A football data analyst collects, analyzes, and interprets match and player data to provide insights that can improve team performance and strategy. They use statistical tools and software to identify patterns, evaluate player metrics, and support decision-making for coaching staff and management.

What are the most commonly searched types of Football Data Analyst jobs in California?

The most popular types of Football Data Analyst jobs in California are:

What are popular job titles related to Football Data Analyst jobs in California?

For Football Data Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Football Data Analyst jobs in California look for?

The top searched job categories for Football Data Analyst jobs in California are:

What cities in California are hiring for Football Data Analyst jobs?

Cities in California with the most Football Data Analyst job openings:

Football Data Analyst jobs near you
Infographic showing various Football Data Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Seasonal Next Gen Stats Research Analyst

The National Football League

Inglewood, CA • On-site

Full-time

Re-posted 23 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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