1

Internship Football Data Analyst Jobs (NOW HIRING)

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

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 ...

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 ...

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 ...

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 ...

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 ...

The Data Analyst will turn complex operational and packaging data into actionable insights that ... a similar role. (any internship or co-op experience will not be considered) * Strong SQL ...

The Data Analyst will turn complex operational and packaging data into actionable insights that ... a similar role. (any internship or co-op experience will not be considered) * Strong SQL ...

Bachelor s or Master s degree in Computer Science, Information Systems, IT, Data Analytics, Business Analytics, Statistics, or a related field * 0 2 years of experience or relevant internships in ...

Position Summary The Data Analyst supports the Personal Lines team by analyzing data, creating ... projects or internships. The position offers the opportunity to learn the insurance industry ...

As a Data Analyst Intern, you will have the opportunity to work closely with our dedicated team ... This internship offers a unique blend of responsibilities, allowing you to develop a diverse skill ...

... or internships, performing national security-related analytics; preference for research ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

Data Analyst

Richmond, VA · On-site

$62K/yr

Position Summary The Data Analyst supports the Personal Lines team by analyzing data, creating ... projects or internships. The position offers the opportunity to learn the insurance industry ...

... or internships, performing national security-related analytics; preference for research ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

next page

Showing results 1-20

Internship Football Data Analyst information

See salary details

$12

$22

$42

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

As of Jul 31, 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.
More about Internship Football Data Analyst jobs
What cities are hiring for Internship Football Data Analyst jobs? Cities with the most Internship 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 Internship Football Data Analyst jobs? States with the most job openings for Internship Football Data Analyst jobs include:
Infographic showing various Internship Football Data Analyst job openings in the United States as of July 2026, with employment types broken down into 65% Full Time, 4% Part Time, and 31% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Full-time

Medical, Retirement

Re-posted 9 days ago


Job description

SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia.
Our data-driven platform empowers teams with insights and tools to make informed decisions within salary cap constraints. The platform also serves the NCAA, offering insights around the transfer portal and more.
What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel, who have a combined 600+ years of NFL experience. Our domain knowledge is augmented by AI and machine learning technologies to create a unique view into many aspects of Football.
We are seeking a motivated and skilled Senior Data Scientist to join our analytics team. You will be responsible for building, deploying, and refining a variety of football-focused analytical models, working with complex real-world datasets. You'll collaborate closely with other data scientists and engineers, ensuring our analytical products are accurate, robust, and impactful. The ideal candidate will demonstrate both strong technical skills and a proactive mindset, capable of independently taking projects from concept to deployment.
Responsibilities
  • Model Development and Analysis: Build and implement analytical football models, providing valuable insights to enhance our football analytics offerings. Conduct comprehensive data analysis to extract actionable insights.
  • Model Productionization: Ensure seamless deployment of machine learning and statistical models using Python, Databricks, and Spark. You will work on converting existing R models to Python as part of your initial responsibilities.
  • Large Dataset Management: Handle large datasets efficiently using Spark and Databricks, ensuring data integrity and performance optimization.
  • Collaboration: Work closely with other data scientists, analysts, and stakeholders to understand their needs and deliver high-quality analytical solutions.
  • Innovation: Identify and implement new tools, techniques, and best practices to enhance our data analytics capabilities.

Qualifications
Education: Advanced degree (Masters or PhD) in a quantitative discipline, or equivalent professional experience.
Experience: 4+ years of experience in data science, preferably in a sports analytics environment. (level commensurate with experience)
Technical Skills:
  • Proficiency in Python and experience with Databricks.
  • Strong programming skills in Python, including experience deploying models beyond exploratory notebooks.
  • Documented experience in football analytics, demonstrated through industry experience, public content, or
    significant independent projects. Examples would include working for an NFL or NCAA analytics department, working for a third party analytics provider, achievement in events such as the Big Data Bowl, or original football analytics Github repos.
  • Solid foundation in statistical modeling and machine learning methodologies.
  • Proven ability to independently identify and resolve data-related challenges in real-world datasets.
  • Effective communication skills, with experience explaining technical concepts clearly

Benefits
  • Competitive Salary and Bonus Plan
  • Comprehensive health insurance plan
  • Retirement savings plan (401k) with company match
  • Remote working environment
  • A flexible, unlimited time off policy
  • Generous paid holiday schedule - 13 in total including Monday after the Super Bowl