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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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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 21, 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.

Live Sports Trader

Dime Line Trading

Chicago, IL

Full-time

Re-posted 8 days ago


Job description

Working as a Production Trader at DL Trading, you will:
  • Manage trading operations - confirm data feeds are available, ensure trading models launch successfully, diagnose issues and work with the operations team to resolve
  • Monitor live trading - monitor prices and trading activity during live sporting events, ensure models have accurate gamestate information, make adjustments as needed
  • Work with quantitative traders - share feedback on trading activity, analyze trading performance, take on data-related projects as needed
  • Other duties as assigned
Skills you will need:
  • A strong passion for and knowledge of sports, in particular US team sports (e.g. MLB, NBA, NFL, NHL, NCAAF football / basketball)
  • At least a basic understanding of probabilities and / or betting odds
  • Ability to navigate GUI-based technical tools for trading operations
  • Reliable weekend and evening availability to monitor trading during live sporting events
  • Be a self-starter and dependable, as you will have some live trading shifts with limited oversight
Bonus points for:
  • SQL, Python, and / or Linux skills
  • Experience with sports betting and / or trading in financial markets