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Nfl Analytics Jobs (NOW HIRING)

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site

$140K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science ...

Swish Analytics

NFL Data Scientist

San Francisco, CA

$140K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science ...

LeatherBrainz

Blog Writer (NFL/Fantasy Football)

Produce well-researched and compelling blog posts on NFL-related topics, including game analysis, player profiles, team updates, and more. * Create engaging fantasy football content, including player ...

The Athletic Media Company

Senior Editor, NFL (Remote)

$80K - $90K/yr

... NFL coverage, using data analytics to optimize performance, and partner across the editorial ... Manage a staff of reporters with an emphasis on the delivery of news and distinct team analysis ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · Remote

$160K/yr

Company Description 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 ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$80K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... 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

$65K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... 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

$65K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

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All JobsNfl Analytics Jobs

NFL Analytics information

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$64.5K

$125.3K

$179K

How much do nfl analytics jobs pay per year?

As of Jul 24, 2026, the average yearly pay for nfl analytics in the United States is $125,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $149,000.00 per year, depending on experience, location, and employer.

What is NFL analytics?

NFL analytics refers to the use of data analysis, statistics, and advanced mathematical models to evaluate player performance, team strategies, and game outcomes in the National Football League (NFL). Analysts collect and interpret data from games, practices, and player tracking systems to provide insights that help teams make better decisions on player acquisitions, play calling, and in-game tactics. The field has grown significantly in recent years, influencing everything from draft strategies to in-game decision-making. NFL analytics professionals often work closely with coaches, scouts, and front office staff to translate complex data into actionable information.

What are some common challenges NFL analytics professionals face when integrating data insights with coaching decisions?

NFL analytics professionals often encounter challenges when ensuring that their data-driven recommendations are effectively communicated and adopted by coaches and players. Translating complex statistical models into actionable strategies requires strong collaboration skills and an understanding of football operations. Additionally, balancing traditional scouting insights with advanced metrics can be challenging, as some stakeholders may be skeptical of analytics-based decisions. Overcoming these hurdles typically involves building trust, tailoring presentations to different audiences, and demonstrating the real-world impact of analytics on performance and strategy.

What is the difference between Nfl Analytics vs Football Data Analyst?

AspectNfl AnalyticsFootball Data Analyst
Required CredentialsDegree in Sports Analytics, Statistics, or related field; knowledge of NFL dataDegree in Sports Science, Data Analysis, or related; familiarity with football metrics
Work EnvironmentSports teams, analytics firms, media outlets focused on NFLFootball teams, sports agencies, media, or consulting firms
Industry UsageSpecialized in NFL-specific data and insightsBroader football industry, including college and other leagues

While both roles involve analyzing football data, Nfl Analytics focuses specifically on NFL data and insights, often with a deeper specialization in NFL metrics. Football Data Analysts may work across various levels of football, including college and other leagues, with a broader scope. Both roles require strong analytical skills and familiarity with football statistics, but Nfl Analytics is more tailored to NFL-specific data and industry applications.

What are the key skills and qualifications needed to thrive as an NFL Analytics professional, and why are they important?

To thrive in NFL Analytics, you need strong quantitative analysis skills, proficiency in statistics, and a background in mathematics, data science, or a related field. Familiarity with programming languages like Python or R, experience with data visualization tools, and knowledge of football-specific analytics platforms are typically required. Exceptional problem-solving, communication, and teamwork skills help translate complex data into actionable insights for coaches and executives. These skills are vital for driving data-informed decisions that can improve team performance and competitive strategy.
More about NFL Analytics jobs
What cities are hiring for Nfl Analytics jobs? Cities with the most Nfl Analytics job openings:
What states have the most Nfl Analytics jobs? States with the most job openings for Nfl Analytics jobs include:
What job categories do people searching Nfl Analytics jobs look for? The top searched job categories for Nfl Analytics jobs are:
NFL Analytics jobs near you
Infographic showing various Nfl Analytics job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $125,326 per year, or $60.3 per hour.
NFL Data Scientist

NFL Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$140K/yr

Full-time

Posted 20 days ago

Job description

Company Description
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
Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base salary: Starting at $140,000
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.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote

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