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Full Time Football Data Analyst Jobs (NOW HIRING)

Minimum of 1 year of experience in football data analysis * Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay ...

Build and implement analytical football models, providing valuable insights to enhance our football analytics offerings. Conduct comprehensive data analysis to extract actionable insights. * Model ...

Minimum of 1 year of experience in football data analysis * Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay ...

... full-time position with an initial 6-month term. Employment may be extended based on business needs and performance but is not guaranteed. We are seeking a Data Analyst to join our growing team. In ...

For more information about Data Ideology, visitwww.dataideology.com Data Analyst Job Type: Full-Time, 6-Month Fixed-Term (Renewable) This is a full-time position with an initial 6-month term.

Data Analyst

Garden Grove, CA · On-site

$25 - $26.50/hr

California Employment Type: Full-time Salary: $25-26.50 Date Posted: 05/20/2026 About the Role The Data Analyst I/II supports program performance by ensuring accurate data collection, analysis, and ...

California Employment Type: Full-time Salary: $25-26.50 Date Posted: 05/21/2026 About the Role The Data Analyst I/II supports program performance by ensuring accurate data collection, analysis, and ...

California Employment Type: Full-time Salary: $25-26.50 Date Posted: 05/21/2026 About the Role The Data Analyst I/II supports program performance by ensuring accurate data collection, analysis, and ...

Should be able to make sense of data and analyze the information. Should be able to make best judgement of the data and present the outcome of that analysis. Exposure to sentiment analysis ...

Full-Time We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst ...

California Employment Type: Full-time Salary: $25-26.50 Date Posted: 05/21/2026 About the Role The Data Analyst I/II supports program performance by ensuring accurate data collection, analysis, and ...

California Employment Type: Full-time Salary: $25-26.50 Date Posted: 05/21/2026 About the Role The Data Analyst I/II supports program performance by ensuring accurate data collection, analysis, and ...

Data Analyst

Anaheim, CA · On-site

$25 - $26.50/hr

California Employment Type: Full-time Salary: $25-26.50 Date Posted: 05/21/2026 About the Role The Data Analyst I/II supports program performance by ensuring accurate data collection, analysis, and ...

California Employment Type: Full-time Salary: $25-26.50 Date Posted: 05/21/2026 About the Role The Data Analyst I/II supports program performance by ensuring accurate data collection, analysis, and ...

Company Description Full-Time We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business ...

California Employment Type: Full-time Salary: $25-26.50 Date Posted: 05/21/2026 About the Role The Data Analyst I/II supports program performance by ensuring accurate data collection, analysis, and ...

California Employment Type: Full-time Salary: $25-26.50 Date Posted: 05/21/2026 About the Role The Data Analyst I/II supports program performance by ensuring accurate data collection, analysis, and ...

California Employment Type: Full-time Salary: $25-26.50 Date Posted: 05/21/2026 About the Role The Data Analyst I/II supports program performance by ensuring accurate data collection, analysis, and ...

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Full Time Football Data Analyst information

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$34K

$82.6K

$136K

How much do full time football data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for full time football 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 is the difference between Full Time Football Data Analyst vs Part Time Football Data Analyst?

AspectFull Time Football Data AnalystPart Time Football Data Analyst
CredentialsBachelor's degree in sports analytics, statistics, or related field; experience with data analysis toolsSimilar credentials, but often less extensive experience required
Work EnvironmentFull-time employment with consistent hours, often within a sports organization or analytics firmFlexible hours, often freelance or project-based within the same industry
Employer & Industry UsageCommonly employed by professional clubs, leagues, or sports analytics companiesUsed by smaller organizations, freelance projects, or part-time roles in the industry

In summary, a Full Time Football Data Analyst typically works full-time within a sports organization, requiring more extensive experience and offering consistent hours. In contrast, a Part Time Football Data Analyst has flexible hours, often works freelance or on specific projects, and may have similar credentials but less overall commitment.

What cities are hiring for Full Time Football Data Analyst jobs? Cities with the most Full Time Football Data Analyst job openings:
What are the most commonly searched types of Football Data Analyst jobs? The most popular types of Football Data Analyst jobs are:
What states have the most Full Time Football Data Analyst jobs? States with the most job openings for Full Time Football Data Analyst jobs include:
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Posted yesterday


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.
Duties:
  • Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity issues
  • Detect data inaccuracies such as missing, out of range or otherwise incorrect on-field data
  • Source origins of data inaccuracies through data pipeline dependencies and python code base
  • Define data validation tests to flag future game errors
  • Research accurate roster active statuses, primary positions and game participation
  • Validate data changes after logic updates
  • Production model feature deep dives to explain project market lines
  • Clearly document findings
  • Develop intimate familiarity with existing databases and construct metadata references
  • With guidance, support lead Data Scientists in feature development and model analysis

Requirements:
  • Bachelor's Degree in Computer Science, Data Science or similar major
  • Minimum of 1 year of experience in football data analysis
  • Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios
  • Data Extraction, Wrangling and Analysis in Python
  • Strong SQL querying skills
  • Attention to detail

Preferred:
  • Strong Python data management programming skills
  • Data Visualization experience with a user application like Streamlit
  • Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis
  • Exposure to the data science process and tech stack
  • Anomaly Detection Techniques

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 NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote