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Soccer Data Jobs (NOW HIRING)

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

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 ...

Soccer Shots

Youth Soccer Coach

Saint Louis, MO · On-site

$20 - $30/hr

Active cell phone with data plan * Ability to model children's soccer skills * High school diploma or equivalent * Applicant minimum age for school-based locations is 18. Perks & Benefits: Seasonal ...

Soccer Shots

Youth Soccer Coach

Wentzville, MO · On-site

$20 - $30/hr

Active cell phone with data plan * Ability to model children's soccer skills * High school diploma or equivalent * Applicant minimum age for school-based locations is 18. Perks & Benefits: Seasonal ...

Soccer Shots

Youth Soccer Coach

Saint Peters, MO · On-site

$20 - $30/hr

Active mobile phone with data plan * Ability to model children's soccer skills * High school diploma or equivalent * Applicant minimum age for school-based locations is 18. Perks & Benefits: Seasonal ...

Soccer Shots

Saturday Youth Soccer Coach

Tracy, CA · On-site

$23/hr

... mobile phone with data * Clear Background Check: Must pass a Live Scan with a clear record ... Coach and manage Soccer Shots sessions on Saturdays at community centers and or parks. These ...

Soccer Shots

Saturday Youth Soccer Coach

Tracy, CA · On-site

$23/hr

... mobile phone with data * Clear Background Check: Must pass a Live Scan with a clear record ... Coach and manage Soccer Shots sessions on Saturdays at community centers and or parks. These ...

Soccer Shots

Saturday Youth Soccer Coach

Tracy, CA · On-site

$20/hr

... mobile phone with data * Clear Background Check: Must pass a Live Scan with a clear record ... Coach and manage Soccer Shots sessions on Saturdays at community centers and or parks. These ...

Soccer Shots

Preschool Soccer Coach

Cupertino, CA · On-site

$22/hr

Soccer Shots ® is the soccer experience for children, using an acclaimed non-competitive ... with data Clear Background | must pass a Livescan (with clear record) and health screening ...

Soccer Shots

Saturday Youth Soccer Coach

Tracy, CA · On-site

$20/hr

... mobile phone with data * Clear Background Check: Must pass a Live Scan with a clear record ... Coach and manage Soccer Shots sessions on Saturdays at community centers and or parks. These ...

Soccer Shots

Saturday Youth Soccer Coach

Tracy, CA · On-site

$20/hr

... mobile phone with data * Clear Background Check: Must pass a Live Scan with a clear record ... Coach and manage Soccer Shots sessions on Saturdays at community centers and or parks. These ...

Soccer Shots

Saturday Youth Soccer Coach

Tracy, CA · On-site

$23/hr

... mobile phone with data * Clear Background Check: Must pass a Live Scan with a clear record ... Coach and manage Soccer Shots sessions on Saturdays at community centers and or parks. These ...

Soccer Shots

Saturday Youth Soccer Coach

Tracy, CA · On-site

$18/hr

... mobile phone with data * Clear Background Check: Must pass a Live Scan with a clear record ... Coach and manage Soccer Shots sessions at daycares, preschools, private schools, community centers ...

Soccer Shots

Saturday Youth Soccer Coach

Tracy, CA · On-site

$20/hr

... mobile phone with data * Clear Background Check: Must pass a Live Scan with a clear record ... Coach and manage Soccer Shots sessions on Saturdays at community centers and or parks. These ...

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Soccer Data information

How does a Soccer Data Analyst typically collaborate with coaches and players to improve team performance?

Soccer Data Analysts work closely with coaches and sometimes players to translate complex data into actionable insights. Their daily responsibilities often include preparing match analysis reports, identifying performance trends, and presenting findings in a clear, visual manner. Analysts attend team meetings, provide real-time data during games, and contribute to tactical decisions by highlighting strengths and areas for improvement. This collaboration fosters a data-driven culture that supports coaching strategies and helps players understand how analytics can enhance their individual and team performance.

What are soccer data analysts?

Soccer data analysts are professionals who collect, organize, and interpret data related to soccer matches, players, and teams. They use statistical tools and software to analyze performance metrics, player movements, and tactical patterns. Their insights help coaches, scouts, and management make informed decisions about strategies, player selection, and training. Soccer data analysts play a crucial role in modern football clubs, combining knowledge of the game with expertise in data analysis.

What are the key skills and qualifications needed to thrive as a Soccer Data Analyst, and why are they important?

To thrive as a Soccer Data Analyst, you need strong analytical skills, knowledge of soccer tactics, and a background in statistics or data science, often supported by a relevant degree. Familiarity with data analysis tools like Python, R, SQL, and sports analytics platforms such as Opta or StatsBomb is typically required. Attention to detail, problem-solving, and effective communication are vital soft skills for interpreting data and conveying insights to coaches or management. These skills ensure meaningful analysis that can inform strategy, improve team performance, and provide a competitive edge.

What is the difference between Soccer Data vs Soccer Analyst?

AspectSoccer DataSoccer Analyst
CredentialsDegree in sports management, data science, or related fieldsDegree in sports analytics, statistics, or related fields
Work EnvironmentData collection, database management, and analysis in sports organizationsInterpreting data, providing insights, and strategic recommendations
Industry UsageUsed by teams, leagues, and sports tech companies for data managementUsed by teams, broadcasters, and media for performance analysis

Soccer Data primarily involves gathering, managing, and maintaining soccer-related data, while Soccer Analysts focus on interpreting this data to provide insights and strategic advice. Both roles are essential in the sports industry, often working closely together to enhance team performance and fan engagement.

More about Soccer Data jobs
What cities are hiring for Soccer Data jobs? Cities with the most Soccer Data job openings:
What states have the most Soccer Data jobs? States with the most job openings for Soccer Data jobs include:
What job categories do people searching Soccer Data jobs look for? The top searched job categories for Soccer Data jobs are:
Soccer Data jobs near you
Infographic showing various Soccer Data job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Soccer Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$130K/yr

Full-time

Re-posted 15 days ago

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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