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Sports Data Analyst Jobs (NOW HIRING)

ArrowCore Group

Data Analyst

Marietta, GA · Remote

Title - Data Analyst Duration - Contract 6+ Months Location - Remote (US) What We Need: We're ... sports franchises in our portfolio - Our mission is to help studios and publishing teams make ...

Wolf Soccer Club

Remote Data Analyst

Rockford, IL · On-site

Company Description Wolf Soccer Club is a growing sports organization dedicated to fostering ... Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team ...

New

Wolf Soccer Club

Remote Data Analyst

Aurora, IL · On-site

Company Description Wolf Soccer Club is a growing sports organization dedicated to fostering ... Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team ...

New

Wolf Soccer Club

Remote Data Analyst

Champaign, IL · On-site

Company Description Wolf Soccer Club is a growing sports organization dedicated to fostering ... Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team ...

New

Wolf Soccer Club

Remote Data Analyst

Cicero, IL · On-site

Company Description Wolf Soccer Club is a growing sports organization dedicated to fostering ... Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team ...

New

Wolf Soccer Club

Remote Data Analyst

Springfield, IL · On-site

Company Description Wolf Soccer Club is a growing sports organization dedicated to fostering ... Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team ...

New

Wolf Soccer Club

Remote Data Analyst

Naperville, IL · On-site

Company Description Wolf Soccer Club is a growing sports organization dedicated to fostering ... Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team ...

New

Wolf Soccer Club

Remote Data Analyst

Waukegan, IL · On-site

Company Description Wolf Soccer Club is a growing sports organization dedicated to fostering ... Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team ...

New

Wolf Soccer Club

Remote Data Analyst

Joliet, IL · On-site

Company Description Wolf Soccer Club is a growing sports organization dedicated to fostering ... Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team ...

New

SupportFinity™

Data Analyst

California, MO · On-site

$82.92 - $89.25/hr

Company Information For more than 20 years, AEG has played a pivotal role in transforming sports ... The Data Analyst works with the Chief Strategy Officer, two strategy directors, and a data ...

Wolf Soccer Club

Remote Data Analyst

Carol Stream, IL · On-site

Company Description Wolf Soccer Club is a growing sports organization dedicated to fostering ... Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team ...

New

Unchain Data

Growth Data Analyst

Manhattan, NY · On-site

$90 - $170/hr

... sports, culture, and current affairs. Built as a peer-to-peer marketplace with no centralized ... As our Growth Data Analyst, you'll own the data layer for everything marketing touches: building ...

New

Recruit Monitor

Data Analyst

Rochester, NY · On-site

SQL Data Analyst Endeavor Streaming, part of Endeavor, is building the worlds most advanced content distribution platform for Content Creators, Global Brands, TV Broadcasters and Sports Federations.

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Sports Data Analyst information

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$34K

$82.6K

$136K

How much do sports data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for sports 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 do sports data analysts typically collaborate with coaches and athletes to impact team performance?

Sports Data Analysts work closely with coaches and athletes by translating complex data into actionable insights, such as identifying player strengths, weaknesses, and trends that can influence game strategies. Analysts often attend team meetings, review performance footage, and present their findings in clear, visual formats to ensure that coaching staff and athletes can easily apply the information. This collaborative approach helps teams make data-driven decisions on player selection, training focus, and in-game tactics, ultimately aiming to enhance overall team performance.

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

To thrive as a Sports Data Analyst, you need strong statistical analysis skills, a solid understanding of sports, and a relevant degree in mathematics, statistics, or data science. Proficiency in data analytics tools such as SQL, Python, R, and specialized sports analytics software is typically required. Attention to detail, critical thinking, and effective communication help analysts interpret data accurately and present insights clearly to coaches and management. These skills are crucial for transforming raw data into actionable strategies that enhance team performance and decision-making.

What is the difference between Sports Data Analyst vs Sports Statistician?

AspectSports Data AnalystSports Statistician
Required CredentialsBachelor's in Sports Management, Data Science, or related fields; proficiency in data analysis toolsBachelor's or Master's in Statistics, Mathematics, or related fields; strong statistical background
Work EnvironmentSports teams, analytics firms, media companiesResearch institutions, sports organizations, consulting firms
Employer & Industry UsageUsed for performance analysis, game strategy, and fan engagementUsed for statistical modeling, historical data analysis, and research

While both roles involve working with sports data, Sports Data Analysts focus on interpreting data for performance insights and strategic decisions, often using modern analytics tools. Sports Statisticians primarily handle statistical modeling and historical data analysis, emphasizing research and accuracy. Both roles are essential in the sports industry but serve different functions based on their focus and skill sets.

How do you become a sports data analyst?

To become a sports data analyst, you typically need a bachelor's degree in statistics, data science, sports management, or a related field. Developing skills in data analysis tools like Excel, SQL, and programming languages such as Python or R is essential, along with knowledge of sports statistics and analytics platforms. Gaining experience through internships or entry-level roles can also help build relevant expertise.

How much do sports data analysts get paid?

Sports data analysts typically earn between $50,000 and $80,000 annually, with salaries increasing with experience, education, and technical skills such as proficiency in data analysis tools and programming languages. Entry-level positions may start around $40,000, while experienced analysts or those working for major organizations can earn over $100,000 per year.
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Sports Data Analyst jobs near you
Infographic showing various Sports Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

ArrowCore Group

Marietta, GA • Remote

Contractor

Posted 6 days ago

Job description

Title – Data Analyst

Duration – Contract 6+ Months

Location – Remote (US)

What We Need:

We’re looking for a passionate Data Analyst for the Game Science & Insights (Analytics) team, to support two key sports franchises in our portfolio - Our mission is to help studios and publishing teams make smarter, faster decisions through data. We’re looking for someone who can combine technical skill with business intuition; someone who can work with vast sets of gameplay and business data, spot what matters, and turn it into insights that influence product and business strategy.

Who We Think Will Be a Great Fit This role is a great fit if you:

● Thrive on simplifying complexity into clear, actionable takeaways 

● Have a natural ability to see the underlying story in the data and communicate it clearly to business stakeholders

● Bring curiosity and adaptability, with the ability to quickly learn new domains and tools

● Can switch seamlessly between structured analysis and open-ended exploration

● Want to contribute directly to the strategy and optimization of sports video game titles, now and in the future What You Will Do

● Analyze gameplay and business data to uncover insights that shape product and strategy

● Deliver clear, digestible performance reviews and trend analyses to stakeholders, building strong business narratives that inform decision-making

● Translate massive datasets into structured, actionable visualizations and narratives that meet diverse stakeholder needs

● Support data infrastructure by reviewing telemetry, preparing data for advanced analytics and AI tools, and planning for future data capture needs

● Explore new ways of measuring player behavior and benchmarking across titles to identify patterns, causal drivers, and opportunities for growth

Qualifications:

● Strong SQL skills; comfortable working with large, complex datasets

● Clear communicator who can translate analysis into business-friendly insights

● Ability to prioritize, adapt quickly, and balance structured and exploratory analysis

● Proactive, curious mindset with strong business intuition

● Experience with data visualization tools (e.g., Tableau) a plus

● Optional: Familiarity with a data science language (Python or R), especially for data prep and automation

● Passion for games, especially sports titles, is a bonus

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