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Internship Football Data Analyst Jobs (NOW HIRING)

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

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 ...

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site

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 ...

SumerSports LLC

Sr. Football Data Scientist

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

ConnectPrep

Data Analyst Internship

Washington, DC · Remote

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

Wasserman Media

Fall 2026 Internship - Football

Las Vegas, NV · On-site

$14.25 - $19/hr

Strong analytical, organizational, and project management skills * Ability to anticipate problems ... This internship is for college credit only THE • TEAM does not discriminate on the basis of race ...

New

Teamwass

Fall 2026 Internship - Football

Las Vegas, NV · On-site

$14.25 - $19/hr

Strong analytical, organizational, and project management skills * Ability to anticipate problems ... This internship is for college credit only THETEAM does not discriminate on the basis of race, sex ...

New

Wasserman

Fall 2026 Internship - Football

Las Vegas, NV · On-site

$14.25 - $19/hr

Strong analytical, organizational, and project management skills * Ability to anticipate problems ... This internship is for college credit only THE · TEAM does not discriminate on the basis of race ...

New

GMV

Internship: Data analyst

Naples, NC · On-site +1

You will collaborate with leading professionals in data analysis and processing, as well as in advanced research of statistical models, machine learning approaches and data mining algorithms to ...

Rogue Fitness

Data Analyst

Columbus, OH · On-site

Overview The Data Analyst partners across Finance, Accounting, Supply Chain, and Operations to ... internships, or projects are encouraged to apply * Working knowledge of SQL (writing queries, joins ...

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Internship Football Data Analyst information

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How much do internship football data analyst jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for internship football data analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Football Data Analyst, and why are they important?

To thrive as an Internship Football Data Analyst, you need a solid understanding of statistics, football tactics, and data analysis, often supported by coursework or a degree in fields like statistics, sports science, or data analytics. Familiarity with tools such as Excel, Python, R, and football analytics platforms like Wyscout or Opta is typically expected. Strong attention to detail, problem-solving abilities, and effective communication help you interpret data insights and present findings to coaches or management. These skills are vital to providing actionable insights that can enhance team performance and strategic decision-making.

What does an Internship Football Data Analyst do?

An Internship Football Data Analyst assists in collecting, processing, and analyzing football-related data to help coaches, scouts, and management make informed decisions. They work with tools like Excel, SQL, and specialized sports analytics software to create reports and visualize performance trends. Interns may also help track player statistics, review match footage, and contribute to tactical analysis. This role provides hands-on experience in sports analytics and is a valuable stepping stone for a career in football data analysis.

What are the typical responsibilities of an Internship Football Data Analyst on a day-to-day basis?

As an Internship Football Data Analyst, you can expect to spend your days collecting and cleaning match data, creating visualizations to highlight player or team performance, and supporting senior analysts with research projects. You'll likely use tools such as Excel, Python, or specialized sports analytics software to manage and interpret large datasets. Collaboration is key—you'll often work closely with coaches, scouts, and other analysts to translate your findings into actionable insights. This hands-on experience not only hones your technical skills but also deepens your understanding of the football industry’s analytical needs.
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Internship Football Data Analyst jobs near you
Infographic showing various Internship Football Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

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.
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

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