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Nfl Data Analytics Jobs (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$80K/yr

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$70K/yr

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... 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

$80K/yr

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... 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

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Benson Enterprises

Consumer Insights Analyst

Metairie, LA · On-site

... NFL and the NBA. You understand and appreciate that New Orleans is a unique city with so much to ... Proven data analytics experience is required * Highly analytical person with strong problem-solving ...

AEG

Consumer Insights Analyst

Metairie, LA · On-site

... NFL and the NBA. You understand and appreciate that New Orleans is a unique city with so much to ... Proven data analytics experience is required * Highly analytical person with strong problem-solving ...

PrizePicks

Data Platform Engineer

Atlanta, GA · On-site +1

$100K - $150K/yr

... NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 ... You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis ...

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How much do nfl data analytics jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for nfl data analytics in the United States is $59.24, according to ZipRecruiter salary data. Most workers in this role earn between $58.65 and $59.86 per hour, depending on experience, location, and employer.

What is an NFL Data Analytics job?

An NFL Data Analytics job involves collecting, interpreting, and visualizing football-related data to support teams, coaches, and analysts in making informed decisions. Professionals in this role use statistical models and machine learning techniques to evaluate player performance, game strategies, and scouting insights. They work with large datasets, including player tracking data and in-game statistics, to optimize team performance, prevent injuries, and gain a competitive edge. These roles can be found within NFL teams, media companies, or technology firms specializing in sports analytics. Strong skills in programming, data analysis, and football knowledge are essential for success in this field.

Do NFL teams hire data analysts?

Yes, NFL teams hire data analysts to evaluate player performance, develop strategies, and improve team decision-making. These analysts often use statistical tools, data visualization, and sports analytics software to support coaching and management staff.

How to become an NFL data analyst?

To become an NFL data analyst, you typically need a bachelor's degree in statistics, data science, or a related field, along with strong skills in data analysis tools like SQL, Python, or R. Experience with sports analytics, understanding of football metrics, and the ability to interpret large datasets are also important. Gaining internships or certifications in sports analytics can improve job prospects in this specialized field.

What are the key skills and qualifications needed to thrive in the Nfl Data Analytics position, and why are they important?

To thrive in NFL Data Analytics, you need strong skills in statistics, data modeling, programming (such as Python or R), and a relevant degree in mathematics, statistics, computer science, or a related field. Familiarity with data visualization tools, advanced analytics platforms, and sports-specific databases is highly valued, with certifications in data analytics being a plus. Excellent attention to detail, collaboration, and communication skills are essential for presenting insights to coaches and executives. These competencies ensure data-driven decision-making that directly impacts team performance and strategy.

What are the typical responsibilities of an NFL Data Analytics professional during the football season?

During the football season, NFL Data Analytics professionals are responsible for collecting and analyzing player and team performance data, preparing reports for coaches, and generating predictive models for upcoming games. They often collaborate with coaching staff and scouts to translate data insights into actionable game plans, while also monitoring player health and workload metrics. The role may also involve real-time analysis during games to support strategy adjustments. Being able to communicate complex analyses clearly to non-technical stakeholders is a frequent and critical task.

How does the NFL use data analytics?

NFL data analysts collect and analyze game, player, and team data to inform strategic decisions, improve performance, and enhance fan engagement. They use tools like statistical software and machine learning models to identify patterns and optimize coaching strategies. This role requires strong analytical skills and knowledge of sports metrics and data management.

How much does a data analyst for an NFL team make?

A data analyst for an NFL team typically earns between $50,000 and $100,000 annually, depending on experience, team size, and location. Many analysts also use tools like SQL, Python, or R and may require a background in sports analytics or related fields.
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NFL Data Analytics jobs near you
Infographic showing various Nfl Data Analytics job openings in the United States as of June 2026, with employment types broken down into 6% Internship, 83% Full Time, and 11% Part Time. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $123,210 per year, or $59.2 per hour.

Analytics Engineer III - FES - Data

Fanatics Betting & Gaming

New York, NY

$125K - $150K/yr

Other

Posted 23 days ago

Job description

Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin.

We are seeking a Analytics Engineer III to join our growing Data organization in the Analytics Engineering team. As an Analytics Engineer III, you'll report directly to the Manager of Analytics Engineering and collaborate with internal and external stakeholders to create valuable insights to drive our business's growth. As an AE, your work will be critical in building accurate reporting across the business. You'll also be responsible for providing ongoing analysis and recommendations to stakeholders. We're looking for someone passionate, eager to learn, and can work well within a team.This is a unique opportunity to join a dynamic team and directly contribute to our business's success. 

Responsibilities
  • Develop a strong understanding of Fanatics Betting and Gaming, as well as related products and operations.
  • Design and build insightful metric definitions, KPIs, and source of truth tables utilizing advanced sql
  • Ownership of our DBT cloud infrastructure and implementation of data modeling best practices
  • Collaboration with other Analysts and Data Engineering teams to find solutions to business problems.
  • Develop our Snowflake Intelligence AI to help empower teams to self-serve analytics.
  • Remain current on technology and trends in data analytics and the sports betting & gaming industry.
Experience and Skills
  • Advanced SQL skills, including model/query optimization
  • Data modeling utilizing a tool such as DBT, including incremental modeling strategies
  • Manage and optimize source code control in GitHub, leveraging branching strategies and best practices to ensure efficient collaboration and code quality
  • Experienced with building dashboards and reporting tools (e.g. Tableau, Sigma, Power BI, Looker).
  • Customer obsessed and experience focused; highly outcome-oriented and data-driven; experienced in working in high-growth environments.
  • Demonstrated ability to partner closely with stakeholders, earning trust and prioritizing relationships.
  • Logical and analytical approach to problem solving. Plus for utilizing AI in analytics.
  • Strong organizational and communication skills.
  • Positive and flexible attitude, a willingness to embrace new initiatives.
  • Understanding of sports betting or experience in customer behavior analysis is a significant plus.
  • Must be open to travel for team offsites and events.
  • 5+ years of relevant experience
 

The base salary for this role is based on job-related knowledge, skills, and experience and may vary depending on the successful candidate's geographic location. Remote employee may also be eligible for a home office setup stipend. For information about our benefits, please visit https://benefitsatfanatics.com/

Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE-a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.

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