1

Graduate Sports Analytics Jobs in Chicago, IL (NOW HIRING)

Part-Time Sales Help

North Riverside, IL · On-site

$29K - $58K/yr

... conducting analytics, and ensuring compliance with applicable legal requirements and Company ... Officially licensed products from professional sports federations and headwear of the hottest ...

next page

Showing results 1-20

Graduate Sports Analytics information

See Chicago, IL salary details

$66.4K

$129.1K

$184.4K

How much do graduate sports analytics jobs pay per year?

As of Sep 1, 2026, the average yearly pay for graduate sports analytics in Chicago, IL is $129,104.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $153,500.00 per year, depending on experience, location, and employer.

What is a graduate sports analytics role?

Graduate sports analytics roles are entry-level positions for recent graduates that focus on collecting, analyzing, and interpreting data related to sports performance, strategy, and outcomes. These analysts use statistical methods, data visualization, and software tools to help teams, coaches, and organizations make data-driven decisions. Typical duties include preparing reports, building predictive models, and collaborating with sports scientists, coaches, and management to improve team or athlete performance. These roles often require strong analytical skills, proficiency with programming languages like Python or R, and a passion for sports.

What types of projects or tasks can a graduate in sports analytics expect to work on during their first year?

As a graduate in sports analytics, you can expect to work on a variety of projects, such as collecting and cleaning performance data, creating statistical models to analyze player and team performance, and preparing visual reports for coaching staff or management. You may also assist in real-time data tracking during games and contribute to scouting and recruitment analysis. Collaboration with coaches, data scientists, and IT teams is common, offering valuable learning opportunities and professional growth early in your career.

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

To thrive as a Graduate Sports Analyst, you need a solid background in statistics, data analysis, and a relevant degree such as mathematics, statistics, or sports science. Familiarity with analytical tools like Excel, R, Python, and sports analytics software is commonly required. Strong communication, teamwork, and problem-solving abilities help you interpret and present data-driven insights effectively. These skills are crucial for transforming complex data into actionable strategies that enhance team performance and decision-making.

What is the difference between Graduate Sports Analytics vs Sports Data Analyst?

AspectGraduate Sports AnalyticsSports Data Analyst
Required CredentialsDegree in sports management, data science, or related field; often entry-levelDegree in statistics, data analysis, or related; may require experience
Work EnvironmentInternships, entry-level roles in sports teams, analytics firms, or universitiesProfessional sports organizations, analytics companies, or media outlets
Industry UsageUsed for educational purposes, internships, and entry-level positionsApplied in real-world sports data analysis, reporting, and decision-making

While Graduate Sports Analytics typically refers to entry-level or educational roles preparing for a career in sports data analysis, Sports Data Analyst is a more experienced role focused on analyzing and interpreting sports data for strategic decisions. Both roles share similar credentials and work environments but differ in experience level and application scope.

Is a graduate sports analytics degree worth it?

A graduate sports analytics degree can enhance job prospects in roles such as sports data analyst or performance analyst by providing advanced skills in data analysis, statistics, and programming tools like R or Python. It often leads to higher earning potential and opportunities in professional sports teams, leagues, or media organizations, but the value depends on individual career goals and industry demand.

Is sports analytics in demand?

Sports analytics is in high demand as teams and organizations increasingly rely on data-driven insights to improve performance and decision-making. Professionals in this field often use statistical tools, programming skills, and sports knowledge to analyze player and team data, with job opportunities growing across professional, college, and amateur sports sectors.

What are careers in sports analytics?

Careers in sports analytics involve analyzing sports data to evaluate player performance, team strategies, and game outcomes. Professionals typically use statistical tools, programming languages, and data visualization software, and often work for sports teams, leagues, or media organizations. Roles include sports analyst, data scientist, and performance analyst, requiring strong analytical skills and knowledge of sports metrics.

What can you do with a master's in sports analytics?

A master's in sports analytics prepares individuals for roles such as sports data analyst, performance analyst, or operations analyst within sports teams, leagues, or media organizations. These roles involve analyzing player and team performance data using tools like R or Python, and often require strong statistical and programming skills. Graduates can work in areas like player evaluation, game strategy, or fan engagement, often requiring knowledge of sports science and data visualization.

What are popular job titles related to Graduate Sports Analytics jobs in Chicago, IL?

For Graduate Sports Analytics jobs in Chicago, IL, the most frequently searched job titles are:

What cities near Chicago, IL are hiring for Graduate Sports Analytics jobs?

Cities near Chicago, IL with the most Graduate Sports Analytics job openings:

Quantitative Trader, New Graduate - 2027

Dime Line Trading

Chicago, IL

Full-time

Re-posted 6 days ago


Job description

 
We are seeking a Junior Quantitative Trader to join our Chicago office. This role focuses on quantitative research, model development, and supporting trading strategy execution in a live sports-driven environment.
This position is ideal for an early-career quantitative candidate who is excited to work directly with traders and developers while gaining hands-on exposure to live trading systems.
Responsibilities
  • Assist in building and maintaining predictive models and trading strategies
  • Conduct quantitative research using statistical techniques
  • Support development and maintenance of automated trading systems
  • Monitor model performance and assist with testing, validation, and deployment
  • Collaborate with traders and developers to improve systems and workflows
  • Support operational and production tasks tied to live trading
  • Work evenings and weekends during active sports schedules
Required Skills
  • 0–2 years of experience in a quantitative or analytical role
  • Proficiency in R, Python, and/or SQL
  • Familiarity with regression and foundational statistical modeling techniques
  • Strong analytical and problem-solving skills
  • Willingness to contribute to operational and production support
  • Availability to work evenings and weekends aligned with sports schedules
Nice to Have
  • Experience in sports analytics
  • Strong knowledge of major sports
  • Interest in trading, betting markets, or quantitative finance
  • Experience working with market data (financial, crypto, or sports)