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Nfl Data Analytics Jobs (NOW HIRING)

... NFL) II contract on site at our Hampton Roads location. In this role, you will bridge the gap ... You will formulate and lead guided, multifaceted analytic studies against massive volumes of ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

Data Platform Engineer

Atlanta, GA · On-site +1

$145K - $175K/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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NFL Data Analytics information

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How much do nfl data analytics jobs pay per hour?

As of Aug 17, 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?

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.

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.

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.

Do NFL teams hire data analysts?

Yes, NFL teams often hire data analysts to evaluate player performance, develop strategies, and improve decision-making using statistical tools and data analysis techniques. These roles typically require skills in data management, programming, and sports analytics software, and may involve working closely with coaching staff and management.

How to become an NFL Data Analytics analyst?

To become an NFL Data Analytics analyst, you typically need a bachelor's degree in fields like statistics, data science, or sports management. Developing skills in programming languages such as Python or R, and proficiency with data visualization tools like Tableau, are also important. Gaining experience through internships or projects related to sports analytics can improve job prospects.
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Infographic showing various Nfl Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,210 per year, or $59.2 per hour.

Operations Data Analyst

Fanatics Betting & Gaming

Denver, CO • On-site

Full-time

Re-posted 19 hours ago


Job description

About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
About the Team
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.
Overview
As an Operations Data Analyst at Fanatics Betting & Gaming, you are on the front lines of how the Operations Department understands its own performance. You sit within the Analytics & AI Enablement team and own the data pipelines, reporting, and analytical work that CX, Fraud, Payments, WFM, and VIP leaders rely on to make decisions every day.
This is not a passive reporting role. You are expected to take ownership across multiple operational areas, building and maintaining the data layer, surfacing insights, and flagging risks before they become crises. You work closely within the Strategy & Analytics team to ensure our data is accurate, scalable, and directly connected to Ops top-line goals.
We are actively building toward an AI-first way of operating, and this role is part of that. The ideal candidate is technically sharp, relentlessly detail-oriented, and genuinely curious, both about what the data is saying and about how AI can change the way we find and act on answers. You are comfortable moving fast, owning ambiguous problems, and holding yourself to a high bar without being told to.
Responsibilities
Analytical Work & Insights
  • Respond to high-priority analytical requests from Ops leaders - turning raw data into clear, actionable insights on a tight timeline.
  • Proactively surface trends, anomalies, and risks from the data without waiting to be asked.
  • Support scenario analysis and impact sizing for product initiatives, operational changes, and staffing decisions.
  • Own the development and maintenance of dashboards and reports that give operational leaders clear visibility into performance across CX, Fraud, Payments, WFM, and VIP.
  • Ensure all reporting reflects up-to-date data, clearly defined KPIs, and documented assumptions.
  • Present findings and data narratives directly to operational stakeholders - translating complexity into clear recommendations they can act on.

Data Infrastructure & Pipelines
  • Build, maintain, and improve data pipelines that feed Ops reporting and dashboards - ensuring consistent, accurate, and well-documented data flows.
  • Partner with Data Engineering on DBT development, data store buildout, and pipeline reliability.
  • Proactively identify and resolve data quality issues; escalate blockers that require cross-functional resolution.
  • Deprecate manual, one-off data pulls and replace with automated, always-on solutions.
  • Build alerting infrastructure on critical Ops metrics to catch issues early and reduce reactive firefighting.

AI Enablement & Innovation
  • Support the AI agent roadmap by contributing data, analytical rigor, and validated data foundations before an agent moves to build.
  • Track and report on AI agent performance post-deployment - measuring impact against top-line Ops goals.
  • Actively look for opportunities to apply AI to your own workflow - whether that's speeding up analysis, improving accuracy, or eliminating manual work.
  • Bring a point of view on where AI can and can't be trusted, and flag where human judgment needs to stay in the loop.
Required Qualifications
  • 2+ years of experience in an analytical role - business intelligence, data analytics, strategic operations, or a related field.
  • Strong hands-on SQL experience; ability to write, QA, and optimize complex queries independently.
  • Experience supporting AI/ML workflows, agent builds, or automation initiatives in an analytical capacity.
  • Experience building and maintaining dashboards in Sigma, Tableau, or a comparable data visualization tool.
  • Familiarity with DBT or similar data transformation frameworks.
  • High attention to detail - you catch data quality issues before they surface in leadership reporting.
  • Strong communication skills; able to translate analytical findings into plain language for operational stakeholders.
  • Comfortable operating in fast-paced, ambiguous environments with shifting priorities.
Preferred Qualifications
  • Familiarity with operational KPIs across customer support, fraud, payments, or workforce management.
  • Experience with Python or similar scripting languages for data manipulation and automation.
  • Experience in gaming, fintech, sports, or other operationally intensive, high-volume environments.
  • Bachelor's degree in Analytics, Computer Science, Statistics, Economics, or a related field.

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.
For information about our benefits, please visit https://benefitsatfanatics.com/
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/
Salary Range
$85,000-$108,000 USD
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