2

Full Time 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 ...

This is a fulltime role. The employer is unable to sponsor or accept candidates who are on Work visa. * Interpret data, clean and analyze results using statistical techniques and provide ongoing ...

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 ...

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 ...

Data Analyst

Waco, TX · Hybrid

$70K/yr

Data Analyst - NetSuite Experience Waco, TX | Full-Time | $70,000/year | Apply at www.crouchstaffing.com Full Crouch Staffing Solutions is hiring a full-time Data Analyst in Waco, TX. This Data ...

Data Analyst

Alexandria, VA · On-site

$99K - $144K/yr

In this role, you will leverage data analytics, business intelligence, and reporting expertise to ... For more information, please visit: Full-Time Salary Range for this position: $99,000-$144,000 USD ...

Data Analyst

New York, NY · On-site +1

We are seeking a talented and experienced Data Analyst to join our team on a full-time basis. As a Data Analyst, you will be responsible for collecting, organizing, and analyzing large sets of data ...

Data Analyst - Join Our Team Data Analyst Los Angeles, CA | Full-Time | CTC, W2 Job Summary We are seeking a detail-oriented Data Analyst to collect, analyze, and interpret data to help drive ...

Metrics and Data Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... The Data Analyst SME Contractor Support Lead will serve as the primary contractor technical ...

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

The Data Analyst will be responsible for collecting, processing, and analyzing data to support ... Flexible work schedule and remote work options Job Type: * Full time Pay: * $21.00 - $26.00 per ...

Data Analyst

Washington, DC · On-site

$95K - $112K/yr

Job Type Full-time Description DATA ANALYST Location: Washington, DC Type: Full-Time Clearance: TS/SCI + CI Polygraph Overview DarkStar Intelligence is seeking a highly qualified Data Analyst to ...

Data Analyst

Austin, TX · On-site

$75K/yr

On-Site, Austin, TX Full Time: Monday - Friday, 8am - 5pm Compensation: $75,000 - 90,000K Job Responsibilities * Identify, compile, analyze, and deliver data and reports needed across the ...

PR · On-site

$45K - $55K/yr

???? Data Analyst ???? Location: San Juan, Puerto Rico (Hybrid - Remote Wednesdays ... Job Type: Full-Time | Monday to Friday ???? www.worksimpli.com About WorkSimpli Software WorkSimpli ...

Data Analyst

Washington, DC · On-site

$95K - $112K/yr

Washington, DC | Type: Full-Time | Clearance: TS/SCI + CI Polygraph Overview DarkStar Intelligence is seeking a highly qualified Data Analyst to support mission-driven analytic operations in ...

next page

Showing results 1-20

Full Time Football Data Analyst information

See salary details

$34K

$82.6K

$136K

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

As of Aug 12, 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.

How to get into data analysis in football?

To become a football data analyst, develop strong skills in statistics, data management, and programming languages like Python or R. Gaining experience with sports analytics tools, understanding football tactics, and obtaining relevant certifications can improve your prospects in this specialized field.

Do NFL teams hire full time football data analysts?

Yes, many NFL teams hire full-time football data analysts to evaluate player performance, develop strategies, and enhance decision-making using advanced analytics and software tools. These roles often require knowledge of statistics, coding, and football strategies, and analysts typically work during the season and off-season to support team operations.

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:

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