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Soccer Analytics Jobs (NOW HIRING)

Bay FC

Head of Data & Analytics

San Jose, CA · On-site

Bay FC is the first NWSL team in the Bay Area, co-founded by legends of women's soccer. The Head of Data & Analytics will lead the execution of the club's data strategy, overseeing the use and ...

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site

$130K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Swish Analytics is looking for a Soccer Data Scientists to join our ever-growing team! Data Science ...

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Swish Analytics is looking for a Soccer Data Scientists to join our ever-growing team! Data Science ...

The Salvation Army

Soccer Instructor/Coach

Chicago, IL

$18.11 - $21.74/hr

Youth Soccer Instructor PEOPLE MANAGER: No FLSA STATUS: Non-Exempt PAY GRADE: 203 PAY RANGE: $18.11 ... Sports instructors may also diagnose and remedy form-related issues, analyze gait, and coach mental ...

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Soccer Analytics information

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$45K

$114.5K

$168.5K

How much do soccer analytics jobs pay per year?

As of Aug 21, 2026, the average yearly pay for soccer analytics in the United States is $114,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $135,000.00 per year, depending on experience, location, and employer.

What is soccer analytics?

Soccer analytics is the use of data analysis, statistics, and advanced metrics to evaluate player performance, team strategies, and overall game outcomes in soccer. Analysts collect and interpret data from matches, such as passes completed, shots on goal, and player movements, to provide insights that can inform coaching decisions, scouting, and tactical planning. The field has grown significantly with advancements in technology, enabling more detailed and real-time analysis. Soccer analytics helps teams gain a competitive edge by uncovering trends and patterns that may not be obvious through traditional observation alone.

What are the key skills and qualifications needed to thrive in soccer analytics, and why are they important?

To thrive in Soccer Analytics, you need strong quantitative skills, a background in statistics or data science, and a solid understanding of soccer tactics and gameplay. Familiarity with programming languages like Python or R, experience with data visualization tools, and knowledge of sports analytics software such as Opta or StatsBomb are typically required. Excellent communication, critical thinking, and collaboration skills help present complex insights to coaches and stakeholders effectively. These skills are crucial for transforming data into actionable strategies that improve team performance and decision-making.

What are some common challenges faced by professionals working in soccer analytics, and how can they be addressed?

Professionals in soccer analytics often face challenges such as integrating complex data from various sources, communicating insights effectively to coaches and players, and keeping up with rapidly evolving technology. Balancing detailed statistical analysis with the practical needs of the team requires strong collaboration and adaptability. To overcome these challenges, it's important to develop strong data visualization skills, stay updated on the latest analytical tools, and establish open communication channels with technical and non-technical staff alike.

What is the difference between Soccer Analytics vs Soccer Data Analyst?

AspectSoccer AnalyticsSoccer Data Analyst
Required CredentialsDegree in sports science, statistics, or related fields; knowledge of data analysis toolsSimilar credentials; often includes certifications in data analysis or sports management
Work EnvironmentSports teams, analytics firms, or media companies focusing on soccerSports organizations, analytics departments, or consulting firms
Industry UsageUsed for strategic decision-making, player evaluation, and performance analysisFocuses on collecting, processing, and interpreting soccer data for insights

Soccer Analytics and Soccer Data Analyst roles overlap significantly, with both requiring strong analytical skills and familiarity with soccer. Soccer Analytics often encompasses broader strategic and predictive modeling responsibilities, while Soccer Data Analysts focus more on data collection and reporting. Both roles are vital in leveraging data to improve team performance and are commonly found within sports organizations and analytics firms.

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What states have the most Soccer Analytics jobs?

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Soccer Analytics jobs near you
Infographic showing various Soccer Analytics job openings in the United States as of August 2026, with employment types broken down into 52% Full Time, 39% Part Time, and 9% Temporary. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $114,472 per year, or $55 per hour.

Soccer Analytics Data Science Intern

Red Bull Gruppe

Morristown, TN • On-site

Other

Posted 3 days ago

New

Job description

RedBull New York ("RBNY") are one of 30 teams in Major League Soccer (MLS) and one of the league’s ten original charter clubs. Founded in 1996, RBNY has competed in MLS since its inception. RBNY’s First Team plays its home matches at Sports Illustrated Stadium in Harrison, New Jersey and its Second Team plays its home matches at Montclair State University. RBNY are owned by the Austrian beverage company RedBull GmbH, after which the team is named.

RBNY’s First Team is a three-time MLS Supporters’ Shield winner and a two-time Conference Champion, while the Second Team is the 2025 MLS NEXT Pro Champion. RBNY also operates one of the nation’s premier youth soccer development programs, spanning local partnerships across New York and New Jersey. RBNY’s Academy is ranked among the top development organizations in the country.

Purpose of this Internship

During your time interning at the New York Red Bulls, you will learn how to apply your knowledge of data science, computer science, and mathematics to help multiple facets of a professional soccer team. You will assist multiple departments – including scouting, match analysis, and player development while aiding various processes including data cleaning, databasing, and software building.

This is an unpaid, for credit internship (proof that you will receive credit is required).

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