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Soccer Data Analyst Jobs (NOW HIRING)

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 ...

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 ...

NovationIQ

Data Analyst

Kansas City, KS · On-site

$65 - $100/hr

Work closely with key soccer stakeholders to translate data into performance strategies. Develop strong relationships with coaches, analysts, scouts, physical performance coaches and other key soccer ...

New

Sporting Kansas City

Data Analyst

Kansas City, KS · On-site

Work closely with key soccer stakeholders to translate data into performance strategies. * Develop strong relationships with coaches, analysts, scouts, physical performance coaches and other key ...

Sporting Kansas City

Work closely with key soccer stakeholders to translate data into performance strategies. * Develop strong relationships with coaches, analysts, scouts, physical performance coaches and other key ...

Sporting Kansas City

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

Integrate data from multiple soccer data providers and Club systems to create a single source of truth. * In collaboration with the rest of the Data and Analytics team, support the development and ...

Sporting Kansas City

$107K - $129K/yr

Integrate data from multiple soccer data providers and Club systems to create a single source of truth. * In collaboration with the rest of the Data and Analytics team, support the development and ...

Sporting Kansas City

Data Scientist

Kansas City, KS · On-site

Work closely with coaches, analysts, scouts and other key stakeholders to identify football ... Experience working with soccer event, tracking and physical performance datasets. * Previous ...

Sporting Kansas City

Work closely with coaches, analysts, scouts and other key stakeholders to identify football ... Experience working with soccer event, tracking and physical performance datasets. * Previous ...

NovationIQ

Data Scientist

Kansas City, KS · On-site

$110 - $160/hr

The successful candidate will work closely with coaches, scouts, analysts and other stakeholders ... Experience working with soccer event, tracking and physical performance datasets. Previous ...

New

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 ...

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Soccer Data Analyst information

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$82.6K

$136K

How much do soccer data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for soccer 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.

What does a soccer data analyst do?

A Soccer Data Analyst is responsible for collecting, analyzing, and interpreting data related to soccer matches and players. They use statistical tools and software to identify trends, evaluate player performance, and provide actionable insights to coaches, teams, and management. Their work helps guide tactical decisions, player recruitment, and opponent analysis. Soccer Data Analysts often present their findings through reports, visualizations, and presentations to support strategic planning on and off the pitch.

What skills and qualifications are needed to be a soccer data analyst?

To thrive as a Soccer Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in sports science or data analysis, often supported by a relevant degree. Experience with technical tools such as SQL, Python, R, and sports analytics platforms like Opta or Wyscout is typically required. Excellent communication, attention to detail, and the ability to translate complex data into actionable insights set top analysts apart. These skills are crucial for delivering valuable performance insights that inform coaching decisions and drive competitive advantage.

How does a soccer data analyst typically collaborate with coaching staff and players?

A Soccer Data Analyst works closely with coaches to translate complex data into actionable insights that can influence training sessions, tactics, and match preparations. They often present findings through visualizations and reports, making technical information accessible to non-analytical team members. While direct interaction with players varies by club, analysts may occasionally explain performance metrics or trends to help athletes understand their strengths and areas for improvement. Successful collaboration requires strong communication skills and a deep understanding of both soccer tactics and data analysis.
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Soccer Data Analyst jobs near you
Infographic showing various Soccer 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Soccer Data Scientist

Swish Analytics

San Francisco, CA • On-site

$130K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
Swish Analytics is looking for a Soccer Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for Soccer, or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base Salary: Starting at $130,000
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role Soccer Team Locations San Francisco, CA - Remote Remote status Fully Remote

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