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Temporary 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, Temporary

New York, NY · On-site

$95K - $115K/yr

... data analyst to assist the development team in building out the reporting infrastructure that supports sustainable donor growth across our development team. This 12-month temporary position will ...

Data Analyst, Temporary

New York, NY · On-site +1

$95K - $115K/yr

... data analyst to assist the development team in building out the reporting infrastructure that supports sustainable donor growth across our development team. This 12-month temporary position will ...

Data Analyst

Washington, DC · On-site

$48.07 - $52.88/hr

The Quantitative Data Analyst helps with the interpretation, implementation, analysis, and ... Depending on your temporary assignment, benefits may include direct deposit, free career counseling ...

Position Overview As a Data Analyst, you will lead complex analytical projects and advise IAD ... Travel: May be required up to 25% of the time to CONUS locations for temporary duty (TDY)

Position Overview As a Data Analyst, you will lead complex analytical projects and advise IAD ... Travel: May be required up to 25% of the time to CONUS locations for temporary duty (TDY)

Data Analyst

Orlando, FL · On-site

$120K/yr

We are seeking a detail-oriented and analytical Data Analyst to join our team in Orlando. You will ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

$21.78 - $30.53/hr

Worker Subtype: Temporary Time Type: Time as Reported / Per Diem Scheduled Weekly Hours: As ... Supports the development of methods for data collection, analysis, and reporting for assigned area.

Data Analyst

Manhattan, NY · On-site

$54K - $85K/yr

Senior People Data Analyst Role Overview We are seeking a Senior People Data Analyst to transform ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

Data Analyst

Chicago, IL · On-site

$187K/yr

Senior Data & Analytics Engineer (Enterprise Intelligence) Role Overview We are seeking a high ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

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Temporary Football Data Analyst information

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$34K

$82.6K

$136K

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

As of Jul 31, 2026, the average yearly pay for temporary 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 cities are hiring for Temporary Football Data Analyst jobs? Cities with the most Temporary 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 Temporary Football Data Analyst jobs? States with the most job openings for Temporary Football Data Analyst jobs include:

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