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Nfl Data Analyst Jobs in California (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 · 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 ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$65K/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 · Remote

$65K/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 · Remote

$65K/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

$65K/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

... data; GitHub, notebooks, or demonstrable analytical work is highly valued * Deep domain knowledge across high-turnover sporting verticals such as NBA, NFL, and Soccer * Understanding of relational ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

... data; GitHub, notebooks, or demonstrable analytical work is highly valued * Deep domain knowledge across high-turnover sporting verticals such as NBA, NFL, and Soccer * Understanding of relational ...

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Nfl Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do nfl data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for nfl data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is an NFL data analyst?

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.

What are the key skills and qualifications needed to thrive as an NFL data analyst?

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 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.

Do NFL teams hire data analysts?

Yes, NFL teams often hire data analysts to evaluate player performance, develop strategies, and improve team decision-making using statistical analysis and data visualization tools. These roles typically require knowledge of sports analytics, programming skills, and familiarity with sports data sources.

How do I 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 for this role.

How much does an NFL data analyst make?

An NFL data analyst typically earns between $50,000 and $100,000 annually, depending on experience, education, and the level of responsibility. Entry-level analysts may start at lower salaries, while experienced professionals with specialized skills in data analysis and sports analytics can earn higher compensation, often supplemented with bonuses or benefits.

What are the most commonly searched types of Nfl Data Analyst jobs in California?

The most popular types of Nfl Data Analyst jobs in California are:

What are popular job titles related to Nfl Data Analyst jobs in California?

For Nfl Data Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Nfl Data Analyst jobs in California look for?

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Nfl Data Analyst jobs near you
Infographic showing various Nfl Data Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

NFL Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$140K/yr

Full-time

Re-posted 15 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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