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Football Data Analytics Jobs in Chicago, IL (NOW HIRING)

... analyze trading performance, take on data-related projects as needed * Other duties as assigned ... MLB, NBA, NFL, NHL, NCAAF football / basketball) * At least a basic understanding of probabilities ...

... College Football, Auto Shows, Ride and Drives, Concerts and other client sponsored events. The ... in our Data Capture and Business Analytics Platforms have set our company up for exponential ...

Support efforts to win back players, analyze data, and adjust training methods as needed. Facility & Culture MVP (10%) * Keep the facility a fun, clean, and inviting space. You create the atmosphere ...

Support efforts to win back players, analyze data, and adjust training methods as needed. Facility amp; Culture MVP (10%) * Keep the facility a fun, clean, and inviting space. You create the ...

Support efforts to win back players, analyze data, and adjust training methods as needed. Facility amp; Culture MVP (10%) * Keep the facility a fun, clean, and inviting space. You create the ...

Support efforts to win back players, analyze data, and adjust training methods as needed. Facility & Culture MVP (10%) * Keep the facility a fun, clean, and inviting space. You create the atmosphere ...

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Showing results 1-20

Football Data Analytics information

See Chicago, IL salary details

$19K

$99.6K

$188.3K

How much do football data analytics jobs pay per year?

As of Aug 18, 2026, the average yearly pay for football data analytics in Chicago, IL is $99,618.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,373.00 and $134,974.00 per year, depending on experience, location, and employer.

What is a football data analytics?

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.

What are the key skills and qualifications needed to thrive in football data analytics, 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 are the most commonly searched types of Football Data Analytics jobs in Chicago, IL?

The most popular types of Football Data Analytics jobs in Chicago, IL are:

Infographic showing various Football Data Analytics job openings in Chicago, IL as of August 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $99,618 per year, or $47.9 per hour.

Fall 2026 Intern, Football Coaches

Excel Sports Management

Chicago, IL • Hybrid

$17.05/hr

Full-time, Internship

Posted 22 days ago


Job description

Our Intern program is a paid opportunity that allows participants to contribute to the organization's success while at the same time applying learnings from the classroom. This semester we will continue with a hybrid program and will offer each participant the opportunity to gain in-office experience for approximately 3-days a week. Interns are responsible for their individual transportation and housing needs.

Intern Expectations:

All Interns are expected to work 24-29.9 hours a week during the session. While each intern will be working with a specific division, they will have the opportunity to learn about other areas within Excel, through lunch and learns held throughout the semester.

Important Dates:

Our Fall Program runs from Monday, September 14th, 2026 through Thursday, December 10th, 2026.

Office Hours: 

  • 9:00 am6:00 PM CT, Monday-Friday OR as agreed upon with advisor. Days in office must be coordinated with Advisor's schedules.

Our Interns must:

  • Be available to work under 30 hours per week.
  • Be available to report to the Chicago office approximately 3-days a week.
  • Have a senior standing in college (must have completed your junior year of undergrad)

OR

  • Be enrolled in a graduate school

OR

  • Have a bachelor's or postgraduate degree.

Interview Process: 

  • Applications will close on August 14th, 2026
  • If selected, the expectation is that offers will be extended mid to late August.
  • The program will begin on September 14th, 2026.

Football Coaches Intern Expectations:

  • Issue requests to all applicable universities and organize responses;
  • Manage the construction of college football and NFL coaching database;
  • Review and analyze coach's employment contracts;
  • Aid in the updating client marketing;
  • Learning to assemble client media day pamphlets with other members of the team;
  • Provide support in projects assigned as needed;
  • Assist with inputting coaching, personnel, and organizational data within AI-powered databases to support research and analytics
  • Ability to handle confidential information;

The pay for this position is: $17.05 per hour. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the California and New York City Salary Transparency Law.