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Nfl Data Analyst 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

$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

Sports Data Analyst

San Francisco, CA · On-site +1

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully ...

SumerSports LLC

Sr. Football Data Scientist

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 ...

SumerSports LLC

Data Engineer

$117K - $140K/yr

We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs ... feeds to analytics-ready datasets. Your mission is to make data reliable, discoverable, and ...

Membersuite

Business Analyst

Dunwoody, GA

You must love data and the idea of moving it from point A to Point B accurately and on time! You ... And bring your NFL Fantasy Team with you. We're serious about that. Qualifications So - Who Are You?

Membersuite

Business Analyst

Dunwoody, GA · On-site

You must love data and the idea of moving it from point A to Point B accurately and on time! You ... And bring your NFL Fantasy Team with you. We're serious about that. Qualifications So - Who Are You?

Ursus, Inc.

Sr. Football Data Scientist

... NFL clubs. They are seeking a motivated and skilled Senior Data Scientist to join their analytics team, responsible for building, deploying, and refining football-focused analytical models using ...

PrizePicks

Revenue Analyst - Lifecycle

Atlanta, GA · On-site +1

$85K - $120K/yr

... NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 ... This data-centric role is vital for building and maintaining analytics tools and workflows.

AEG

Revenue Analyst - Lifecycle

Atlanta, GA · On-site

$85K - $120K/yr

... NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 ... This data-centric role is vital for building and maintaining analytics tools and workflows.

TicketManager

Data & Analytics Lead

Calabasas, CA · On-site

$80K - $100K/yr

... NBA, NFL, NCAA, and NASCAR. We're also proud to partner with some of the most iconic teams and ... The Data & Analytics Lead is the "intelligence engine" for the entire organization. We are already ...

AEG

Data & Analytics Lead

Calabasas, CA · On-site

... NBA, NFL, NCAA, and NASCAR. We're also proud to partner with some of the most iconic teams and ... The Data & Analytics Lead is the "intelligence engine" for the entire organization. We are already ...

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Nfl Data Analyst information

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How much do nfl data analyst jobs pay per year?

As of Jun 9, 2026, the average yearly pay for nfl 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 typical challenges faced by NFL Data Analysts in their day-to-day work?

NFL Data Analysts often deal with large, complex, and often incomplete datasets, which can require creative problem-solving and data cleaning skills. Tight deadlines around games and decision-making mean analysts must work efficiently while maintaining high accuracy in their work. Additionally, translating technical findings into meaningful insights for coaches, scouts, and executives requires strong communication and presentation abilities. Working collaboratively within a multidisciplinary team and staying up-to-date with the latest analytical techniques are also essential to staying effective in this fast-paced and evolving environment.

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

To excel as an NFL Data Analyst, you need strong quantitative analysis skills, a solid understanding of football concepts, and a degree in statistics, mathematics, computer science, or a related field. Proficiency in programming languages such as Python or R, experience with data visualization tools like Tableau, and a working knowledge of databases such as SQL are typically required. Strong communication skills, attention to detail, and the ability to collaborate with coaches and other stakeholders help set top analysts apart. These skills are essential for transforming complex data sets into actionable insights that directly impact team strategy and performance.

What is an NFL Data Analyst job?

An NFL Data Analyst is responsible for collecting, processing, and interpreting football-related data to provide insights that help teams, coaches, and executives make informed decisions. They analyze player performance, team strategies, and game trends using statistical models and data visualization tools. Analysts may work with scouting departments, front offices, or media organizations to enhance decision-making. Strong skills in programming, data analysis, and football knowledge are essential for this role.

More about Nfl Data Analyst jobs
What cities are hiring for Nfl Data Analyst jobs? Cities with the most Nfl Data Analyst job openings:
What are the most commonly searched types of Nfl Data Analyst jobs? The most popular types of Nfl Data Analyst jobs are:
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What job categories do people searching Nfl Data Analyst jobs look for? The top searched job categories for Nfl Data Analyst jobs are:
Nfl Data Analyst jobs near you
Infographic showing various Nfl Data Analyst job openings in the United States as of May 2026, with employment types broken down into 11% Internship, 71% Full Time, 6% Part Time, 6% Temporary, and 6% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
NFL Data Scientist

NFL Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$140K/yr

Full-time

Posted 4 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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