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Nfl Data Analyst Jobs (NOW HIRING)

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 ...

MLabs

NFL Social Media Manager

$70K - $75K/yr

Data-Driven Mindset: Ability to interpret basic performance data, translate analytics into ... An established network of NFL creators and digital personalities available to leverage immediately.

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 ...

The Athletic Media Company

Senior Editor, NFL (Remote)

$80K - $90K/yr

This is a senior role in a fast-paced environment contributing to comprehensive editorial oversight of our NFL coverage, using data analytics to optimize performance, and partner across the editorial ...

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?

TeamWork Online

Data & Analytics Lead

Calabasas, CA · On-site

$80K - $100K/yr

Data & Analytics Lead Live events are fun. Concerts, sporting events, and festivals create ... NBA, NFL, NCAA, and NASCAR. We're also proud to partner with some of the most iconic teams and ...

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.

TicketManager

Data & Analytics Lead

Arizona City, AZ · On-site

Data & Analytics Lead Live events are fun. Concerts, sporting events, and festivals create ... NBA, NFL, NCAA, and NASCAR. We're also proud to partner with some of the most iconic teams and ...

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NFL Data Analyst information

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$34K

$82.6K

$136K

How much do nfl data analyst jobs pay per year?

As of Jul 3, 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:
What states have the most Nfl Data Analyst jobs? States with the most job openings for Nfl Data Analyst jobs include:
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 June 2026, with employment types broken down into 91% Full Time, 5% Contract, and 4% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Posted 8 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.
Duties:
  • Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity issues
  • Detect data inaccuracies such as missing, out of range or otherwise incorrect on-field data
  • Source origins of data inaccuracies through data pipeline dependencies and python code base
  • Define data validation tests to flag future game errors
  • Research accurate roster active statuses, primary positions and game participation
  • Validate data changes after logic updates
  • Production model feature deep dives to explain project market lines
  • Clearly document findings
  • Develop intimate familiarity with existing databases and construct metadata references
  • With guidance, support lead Data Scientists in feature development and model analysis

Requirements:
  • Bachelor's Degree in Computer Science, Data Science or similar major
  • Minimum of 1 year of experience in football data analysis
  • Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios
  • Data Extraction, Wrangling and Analysis in Python
  • Strong SQL querying skills
  • Attention to detail

Preferred:
  • Strong Python data management programming skills
  • Data Visualization experience with a user application like Streamlit
  • Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis
  • Exposure to the data science process and tech stack
  • Anomaly Detection Techniques

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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