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Commission Football Data Analyst Jobs (NOW HIRING)

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 ...

TechNix LLC

Data Analyst

Austin, TX · On-site

Data Analyst Duration: 12 Months Agency: HHSC Job ID: 529701755 Client: State of Texas Location ... DESCRIPTION OF SERVICES Texas Health and Human Services Commission requires the services of 1 ...

AvePoint

Data Analyst

Jersey City, NJ

$85K - $110K/yr

AvePoint is seeking a highly analytical Data Analyst to support and scale our global partner ... Commission, Segment Marketing, DealHub, OutReach, and Zoominfo experience are also a plus.

AvePoint

Data Analyst

Jersey City, NJ · On-site

$85K - $110K/yr

AvePoint is seeking a highly analytical Data Analyst to support and scale our global partner ... Commission, Segment Marketing, DealHub, OutReach, and Zoominfo experience are also a plus.

AvePoint

Data Analyst

Arlington, VA · On-site

$85K - $110K/yr

AvePoint is seeking a highly analytical Data Analyst to support and scale our global partner ... Commission, Segment Marketing, DealHub, OutReach, and Zoominfo experience are also a plus.

AvePoint

Data Analyst

Arlington, VA

$85K - $110K/yr

AvePoint is seeking a highly analytical Data Analyst to support and scale our global partner ... Commission, Segment Marketing, DealHub, OutReach, and Zoominfo experience are also a plus.

H-GAC

Data Analyst

Houston, TX

The Houston-Galveston Area Council is one of the largest regional planning commissions in the ... Support regional planning efforts through advanced land use modeling, data analysis, and ...

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Commission Football Data Analyst information

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How much do commission football data analyst jobs pay per year?

As of Aug 1, 2026, the average yearly pay for commission 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 Commission Football Data Analyst vs Football Data Analyst?

AspectCommission Football Data AnalystFootball Data Analyst
Required CredentialsBachelor's in Sports Analytics, Data Science, or related field; experience with sports data toolsBachelor's in Statistics, Data Science, or Sports Management; familiarity with football analytics software
Work EnvironmentSports organizations, commissions, or governing bodiesSports teams, analytics firms, or media outlets
Employer & Industry UsageUsed in official sports commissions and regulatory bodiesCommon in team analytics departments and sports media

The Commission Football Data Analyst typically works within sports commissions or governing bodies focusing on regulatory data, while the Football Data Analyst is more involved with team performance analysis or media coverage. Both roles require similar skills but differ mainly in their organizational context and specific responsibilities.

What cities are hiring for Commission Football Data Analyst jobs? Cities with the most Commission 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 Commission Football Data Analyst jobs? States with the most job openings for Commission Football Data Analyst jobs include:
Commission Football Data Analyst jobs near you

Sr. Football Data Scientist

SumerSports LLC

Remote

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

Apply