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Work From Home Football Data Analytics Jobs (NOW HIRING)

We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs ... Work closely with other data scientists, analysts, and stakeholders to understand their needs and ...

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity ...

... Work closely with other data scientists, analysts, and stakeholders to understand their needs and ... football analytics, demonstrated through industry experience, public content, or significant ...

WORK FROM HOME

Stamford, CT · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

WORK FROM HOME

Evansville, IN · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

WORK FROM HOME

Boulder, CO · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

WORK FROM HOME

Lakewood, CO · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

WORK FROM HOME

Madison, WI · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

WORK FROM HOME

Tempe, AZ · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

WORK FROM HOME

Austin, TX · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

WORK FROM HOME

Hialeah, FL · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

WORK FROM HOME

Miami, FL · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

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Work From Home Football Data Analytics information

See salary details

$18K

$69.8K

$150K

How much do work from home football data analytics jobs pay per year?

As of Jun 10, 2026, the average yearly pay for work from home football data analytics in the United States is $69,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $90,000.00 per year, depending on experience, location, and employer.

What is a Work From Home Football Data Analytics job?

A Work From Home Football Data Analytics job involves analyzing football-related data to provide insights on team performance, player statistics, and game strategies. Analysts use data modeling, statistical techniques, and software tools to interpret trends and patterns. The role may involve working with sportsbooks, clubs, or media outlets to improve decision-making. Strong skills in data analysis, programming (Python, R, SQL), and knowledge of football analytics are typically required.

What are the key skills and qualifications needed to thrive in the Work From Home Football Data Analytics position, and why are they important?

To thrive as a Work From Home Football Data Analytics professional, you need a strong analytical mindset, knowledge of football statistics, and proficiency in mathematics or data science, often backed by a relevant degree. Expertise with data analysis tools like Python, R, SQL, and platforms such as Tableau or Power BI is typically required, along with experience in sports analytics software. Effective communication, self-motivation, and problem-solving abilities are vital soft skills for remote collaboration and delivering actionable insights. These competencies are crucial for interpreting complex data sets, producing meaningful analyses, and contributing to data-driven decisions in the football industry.

What are the typical daily responsibilities for a Work From Home Football Data Analytics professional?

As a Work From Home Football Data Analytics professional, your daily tasks usually include gathering and cleaning football-related data, performing statistical analyses, and generating reports or visualizations on player or team performance. You may also collaborate with coaches, scouts, or other analysts through virtual meetings to discuss findings and provide actionable insights. Additionally, keeping up-to-date with new data trends, methodologies, and sports analytics technologies is important. The work is both independent and collaborative, requiring strong time management and communication skills to deliver results to stakeholders remotely.

More about Work From Home Football Data Analytics jobs
What cities are hiring for Work From Home Football Data Analytics jobs? Cities with the most Work From Home Football Data Analytics job openings:
What states have the most Work From Home Football Data Analytics jobs? States with the most job openings for Work From Home Football Data Analytics jobs include:
Infographic showing various Work From Home Football Data Analytics job openings in the United States as of June 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $69,802 per year, or $33.6 per hour.

Full-time

Medical, Retirement

Posted 17 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