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Football Data Analyst Jobs (NOW HIRING)

SumerSports LLC

Sr. Football Data Scientist

Build and implement analytical football models, providing valuable insights to enhance our football analytics offerings. Conduct comprehensive data analysis to extract actionable insights. * Model ...

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 ...

SumerSports LLC

Product Manager

Position Summary We're a small but mighty group of Product Managers that work with our in-house experts and customers to build this next generation of Football Data Analytics and AI experiences for ...

SumerSports LLC

Sr. Product Manager

$129K - $170K/yr

Position Summary We're a small but mighty group of Product Managers that work with our in-house experts and customers to build this next generation of Football Data Analytics and AI experiences for ...

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 ...

SumerSports LLC

Data Engineer

$117K - $140K/yr

SumerSports is a leading football intelligence technology company that specializes in providing an ... feeds to analytics-ready datasets. Your mission is to make data reliable, discoverable, and ...

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Football Data Analyst information

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$34K

$82.6K

$136K

How much do football data analyst jobs pay per year?

As of Jul 31, 2026, the average yearly pay for football data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How much money does a football analyst make?

Football data analysts typically earn between $40,000 and $80,000 annually, depending on experience, location, and the level of the organization. Senior analysts or those working with top-tier teams can earn higher salaries, often exceeding $100,000 with additional bonuses or benefits.

How to become a data analyst in football?

To become a football data analyst, you typically need a degree in a relevant field such as statistics, data science, or sports management. Developing skills in data analysis tools like Excel, SQL, and programming languages such as Python or R is essential, along with knowledge of football tactics and performance metrics. Gaining experience through internships or entry-level roles in sports organizations can also improve job prospects.

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.

How much do NFL data analysts make?

NFL data analysts typically earn between $50,000 and $100,000 annually, depending on experience, education, and the level of responsibility. Entry-level positions may start lower, while experienced analysts with advanced skills in data visualization and statistical software can earn higher salaries, especially with additional certifications or specialized knowledge.

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.

Do NFL teams hire data analysts?

Yes, NFL teams often hire data analysts to evaluate player performance, develop strategies, and improve decision-making using statistical tools and data analysis techniques. These roles typically require knowledge of sports analytics, programming skills, and familiarity with data visualization software. Data analysts in sports may work closely with coaching staff and management to enhance team performance.

What is a Football Data Analyst job?

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.

More about Football Data Analyst jobs
What cities are hiring for Football Data Analyst jobs? Cities with the most Football Data Analyst job openings:
What are the most commonly searched types of Football Data Analyst jobs? The most popular types of Football Data Analyst jobs are:
What states have the most Football Data Analyst jobs? States with the most job openings for Football Data Analyst jobs include:
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Football Data Analyst jobs near you
Infographic showing various Football Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Sr. Football Data Scientist

SumerSports LLC

Remote

Full-time

Medical, Retirement

Re-posted 9 days ago

Job description

SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia.
Our data-driven platform empowers teams with insights and tools to make informed decisions within salary cap constraints. The platform also serves the NCAA, offering insights around the transfer portal and more.
What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel, who have a combined 600+ years of NFL experience. Our domain knowledge is augmented by AI and machine learning technologies to create a unique view into many aspects of Football.
We are seeking a motivated and skilled Senior Data Scientist to join our analytics team. You will be responsible for building, deploying, and refining a variety of football-focused analytical models, working with complex real-world datasets. You'll collaborate closely with other data scientists and engineers, ensuring our analytical products are accurate, robust, and impactful. The ideal candidate will demonstrate both strong technical skills and a proactive mindset, capable of independently taking projects from concept to deployment.
Responsibilities
  • Model Development and Analysis: Build and implement analytical football models, providing valuable insights to enhance our football analytics offerings. Conduct comprehensive data analysis to extract actionable insights.
  • Model Productionization: Ensure seamless deployment of machine learning and statistical models using Python, Databricks, and Spark. You will work on converting existing R models to Python as part of your initial responsibilities.
  • Large Dataset Management: Handle large datasets efficiently using Spark and Databricks, ensuring data integrity and performance optimization.
  • Collaboration: Work closely with other data scientists, analysts, and stakeholders to understand their needs and deliver high-quality analytical solutions.
  • Innovation: Identify and implement new tools, techniques, and best practices to enhance our data analytics capabilities.

Qualifications
Education: Advanced degree (Masters or PhD) in a quantitative discipline, or equivalent professional experience.
Experience: 4+ years of experience in data science, preferably in a sports analytics environment. (level commensurate with experience)
Technical Skills:
  • Proficiency in Python and experience with Databricks.
  • Strong programming skills in Python, including experience deploying models beyond exploratory notebooks.
  • Documented experience in football analytics, demonstrated through industry experience, public content, or
    significant independent projects. Examples would include working for an NFL or NCAA analytics department, working for a third party analytics provider, achievement in events such as the Big Data Bowl, or original football analytics Github repos.
  • Solid foundation in statistical modeling and machine learning methodologies.
  • Proven ability to independently identify and resolve data-related challenges in real-world datasets.
  • Effective communication skills, with experience explaining technical concepts clearly

Benefits
  • Competitive Salary and Bonus Plan
  • Comprehensive health insurance plan
  • Retirement savings plan (401k) with company match
  • Remote working environment
  • A flexible, unlimited time off policy
  • Generous paid holiday schedule - 13 in total including Monday after the Super Bowl

Apply