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From Home Soccer Data Analytics Jobs (NOW HIRING)

Bay Football Club

Head of Data & Analytics

San Jose, CA · On-site

$140K/yr

... soccer as we know it. Beginning play in the 2024 season, we are building a squad that will play the ... Our stadium will be a home for people of all backgrounds and identities. We will be the bridge that ...

Soccer Shots

Kids Soccer Coach

San Diego, CA · On-site

$18 - $30/hr

Our community of coaches work hard to give children the best soccer experience possible. It may be ... from home options available. Compensation: $18.00 - $30.00 per hour

Soccer Shots

Kids Soccer Coach

San Diego, CA · On-site

$18 - $30/hr

Our community of coaches work hard to give children the best soccer experience possible. It may be ... from home options available. Compensation: $18.00 - $30.00 per hour

Soccer Shots

Kids Soccer Coach

San Diego, CA · On-site

$18 - $30/hr

Our community of coaches work hard to give children the best soccer experience possible. It may be ... from home options available. Compensation: $18.00 - $30.00 per hour

Parafin, Inc

Data Analytics Engineer

San Francisco, CA · On-site

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models ... Work from home flexibility * Commuter benefits * Free lunches * Paid parental leave * 401(k)

New

Chemelex

Data Analytics Intern

Redwood City, CA · On-site

$24/hr

... from industrial plants and data centers to people's homes. We deliver future-ready technologies ... Analyze production, quality, and maintenance data to identify trends and inefficiencies * Support ...

Parafin

Data Analytics Engineer

San Francisco, CA · Remote

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models ... Work from home flexibility * Commuter benefits * Free lunches * Paid parental leave * 401(k)

New

TECO

Data Analytics Architect

Tampa, FL

Data Analytics Architect Company : Tampa Electric Company Location: Midtown East Tower State and ... from standards, architecture, and design perspectives. Overall responsibility for the ...

Soccer Shots

Youth Soccer Coach

Middletown, CT · On-site

$20 - $22/hr

Join Soccer Shots, the leader in youth soccer development for children ages 2-8! At Soccer Shots, w ... Flexible work from home options available. Compensation: $20.00 - $22.00 per hour

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All JobsSoccer Data Analytics JobsFrom Home Soccer Data Analytics Jobs

From Home Soccer Data Analytics information

See salary details

$33K

$81.5K

$140K

How much do from home soccer data analytics jobs pay per year?

As of Jul 17, 2026, the average yearly pay for from home soccer data analytics in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What is the difference between From Home Soccer Data Analytics vs From Home Sports Data Analyst?

AspectFrom Home Soccer Data AnalyticsFrom Home Sports Data Analyst
CredentialsDegree in Sports Analytics, Data Science, or related fieldsDegree in Sports Management, Data Science, or related fields
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageSpecifically focused on soccer industry dataBroader sports industry, including multiple sports
Job FocusAnalyzing soccer match data, player performance, team strategiesAnalyzing various sports data, including performance metrics and trends

From Home Soccer Data Analytics specializes in analyzing soccer-specific data, often requiring knowledge of soccer metrics and industry tools. In contrast, From Home Sports Data Analyst covers a broader range of sports, with a focus on general sports performance data. Both roles typically require similar analytical skills and remote work setups but differ in industry focus and specific expertise.

What is a work from home soccer data analytics job?

A work from home soccer data analytics job involves analyzing soccer-related data to provide insights on player performance, team strategies, and match outcomes, all from a remote location. Professionals in this role use statistical tools, software, and databases to interpret match data, create reports, and support decision-making for teams, coaches, or media. The job may include tasks such as data collection, visualization, predictive modeling, and communicating findings to stakeholders, all while collaborating online. These positions are often found with sports clubs, analytics firms, or companies specializing in sports technology.

How do remote soccer data analysts typically collaborate with coaches and team staff while working from home?

Remote soccer data analysts often use video conferencing, collaborative platforms, and shared data dashboards to communicate insights with coaches and team staff. Regular virtual meetings are held to discuss match analysis, player performance, and tactical recommendations. Analysts must present their findings in a clear, actionable way, adapting their communication style for non-technical audiences. Building strong digital communication skills is essential to ensure that data-driven recommendations are effectively integrated into the team’s strategies.

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

To thrive as a From Home Soccer Data Analyst, you need strong statistical analysis skills, deep knowledge of soccer, and usually a degree in statistics, data science, or a related field. Familiarity with data analytics tools such as Python, R, SQL, and specialized sports analytics platforms is typically required. Attention to detail, strong problem-solving abilities, and clear communication skills help set top analysts apart. These skills are crucial for accurately interpreting data, providing actionable insights, and effectively collaborating with coaches, teams, or stakeholders remotely.
More about From Home Soccer Data Analytics jobs
What cities are hiring for From Home Soccer Data Analytics jobs? Cities with the most From Home Soccer Data Analytics job openings:
What are the most commonly searched types of Soccer Data Analytics jobs? The most popular types of Soccer Data Analytics jobs are:
What states have the most From Home Soccer Data Analytics jobs? States with the most job openings for From Home Soccer Data Analytics jobs include:
What job categories do people searching From Home Soccer Data Analytics jobs look for? The top searched job categories for From Home Soccer Data Analytics jobs are:
From Home Soccer Data Analytics jobs near you
Infographic showing various From Home Soccer Data Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.
Soccer Data Scientist

Soccer Data Scientist

Swish Analytics

San Francisco, CA

$130K/yr

Full-time

Re-posted 22 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.