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Football Data Analyst Jobs (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$70K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$70K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

University of Mississippi

Developmental Coach

Oxford, MS · On-site

$15.50 - $20.25/hr

Participants will support the Ole Miss Football coaching staff in all phases of the program, including game planning, practice preparation, data analysis, and recruiting, while engaging in a ...

indianapoliscolts

Data Engineer

Indiana, PA

$104K - $125K/yr

The Data Engineer collaborates closely with the Information Technology, Analytics & Digital ... This is a full-time position working from our main offices at the Indiana Farm Bureau Football ...

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Football Data Analyst information

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$82.6K

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How much do football data analyst jobs pay per year?

As of Jun 10, 2026, the average yearly pay for 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 are the key skills and qualifications needed to thrive in the Football Data Analyst position, and why are they important?

To thrive as a Football Data Analyst, you need strong statistical analysis skills, expertise in football tactics, and usually a degree in mathematics, statistics, sports science, or a related field. Proficiency in data analysis tools like Python, R, SQL, and sports analytics platforms such as Opta or Wyscout is commonly required, along with certifications in data analysis or relevant software. Attention to detail, effective communication, and teamwork are vital soft skills for conveying insights to coaches and collaborating with diverse teams. These skills enable the analyst to accurately interpret data, support performance improvements, and drive informed decision-making within a competitive sports environment.

What are some typical daily responsibilities of a Football Data Analyst?

A Football Data Analyst typically spends their day collecting and processing match or training data, conducting statistical analyses to identify trends, and preparing reports or visualizations for coaches and management. They often attend team meetings to discuss insights and collaborate closely with coaching staff and other performance professionals. The role also involves staying updated on the latest analytical tools and methods, ensuring the team leverages cutting-edge techniques. Effective communication and adaptability are essential, as priorities can shift quickly based on match schedules or management needs.

What is a Football Data Analyst job?

A Football Data Analyst collects, processes, and interprets football-related data to provide insights for teams, coaches, and scouts. They use statistical analysis, tracking data, and performance metrics to evaluate players, tactics, and opposition strategies. Their work helps improve team performance, recruitment decisions, and match preparation. Analysts often use software, coding languages, and data visualization tools to present findings effectively.

More about Football Data Analyst jobs
What cities are hiring for Football Data Analyst jobs? Cities with the most 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 Football Data Analyst jobs? States with the most job openings for Football Data Analyst jobs include:
What job categories do people searching Football Data Analyst jobs look for? The top searched job categories for Football Data Analyst jobs are:
Football Data Analyst jobs near you
Infographic showing various Football Data Analyst job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Trading Analyst

Trading Analyst

Swish Analytics

San Francisco, CA • Remote

$70K/yr

Full-time

Posted 12 days ago

Job description

Company Overview

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

Job Description - This position is 100% Remote

Duties:

  • Manage client risk, ensuring the highest margins on Swish products through +EV decisions

  • Manage and oversee depth chart accuracy, making time-sensitive adjustments in both prematch & in-play settings

  • Strategically research & track verified news sources, being the first to uncover important news and understand the overall impact on betting markets

  • Independently analyze betting trends in a scientific process, turning data into quantifiable trading actions

Requirements:

  • Minimum of 3 years of in-play experience at a sportsbook

  • Deep understanding of sports betting and odds origination

  • Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football

  • Strong mathematical, statistical, and/or analytical skills – ability to understand and calculate + convert odds on the fly

  • Results driven work ethic – focused on improving process, results and profitability

  • Availability to work flexible schedules, including nights, weekends and/or holidays

Preferred:

  • Bachelor’s Degree in a STEM discipline

  • An understanding of relational database systems (MySQL)

  • Experience working with cross functional teams (Data Science teams a plus)

Salary: $70,000 - DOE

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.