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Freelance 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 ...

Data Analyst

Mason, OH · On-site +1

A Data Analyst collects, cleans, and analyzes data to identify trends and patterns that inform ... Successful candidates for freelancer opportunities will not be considered employees of The Procter ...

Data Analyst

Austin, TX · On-site

$35 - $45/hr

We are seeking a skilled Data Analyst to perform complex data analysis supporting both ad-hoc and ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

Data Analyst

Austin, TX · On-site

$40 - $50/hr

We are seeking a Data Analyst to support complex business reporting, ad hoc analysis, and dashboard ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

Data Analysts play a crucial role in helping businesses make informed decisions about their ... Successful candidates for freelancer opportunities will not be considered employees of The Procter ...

This freelance position will run for 6 months with potential to extend and will be hybrid in office ... Extract, analyze, and organize data from multiple sources using advanced Excel skills Required ...

HR Data Analyst

Coppell, TX · On-site

$25 - $30/hr

Our client is seeking a Data Analyst to join the People Insights & Analytics team. This role will ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

While our community is our foundation, our love of football is our reason for being. We have the ... Position Summary The Head of Data & Analytics will lead the execution and adoption of Bay FC's data ...

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Freelance Football Data Analyst information

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$13

$32

$61

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

As of Aug 12, 2026, the average hourly pay for freelance football data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is the difference between Freelance Football Data Analyst vs Football Data Scientist?

AspectFreelance Football Data AnalystFootball Data Scientist
CredentialsTypically requires a degree in data analysis, statistics, or sports managementRequires advanced degrees in data science, statistics, or related fields
Work EnvironmentFreelance, project-based, often remoteUsually employed by clubs, agencies, or research institutions, often full-time
Industry UsageUsed by sports media, betting companies, and clubs for performance analysisUsed for in-depth player performance modeling, predictive analytics, and research

While both roles involve analyzing football data, Freelance Football Data Analysts typically work independently on specific projects, focusing on performance metrics and reporting. Football Data Scientists often have advanced training and work within organizations to develop complex models and insights for strategic decisions.

More about Freelance Football Data Analyst jobs
What cities are hiring for Freelance Football Data Analyst jobs? Cities with the most Freelance 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 Freelance Football Data Analyst jobs? States with the most job openings for Freelance Football Data Analyst jobs include:
What job categories do people searching Freelance Football Data Analyst jobs look for? The top searched job categories for Freelance Football Data Analyst jobs are:
Infographic showing various Freelance Football Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Full-time

Medical, Retirement

Re-posted 20 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