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Internship Nfl Data 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

$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 ...

OmniSource

Data Analytics Internship

Dayton, TX

What sets this Data Analytics Internship apart is the opportunity to directly support business intelligence development for one of the company's largest recycling divisions. The intern will help ...

OmniSource

Data Analytics Internship

Dayton, TX · On-site

What sets this Data Analytics Internship apart is the opportunity to directly support business intelligence development for one of the company's largest recycling divisions. The intern will help ...

OmniSource

Data Analytics Internship

Dayton, TX

What sets this Data Analytics Internship apart is the opportunity to directly support business intelligence development for one of the company's largest recycling divisions. The intern will help ...

Onto

Data Analytics Internship

Milpitas, CA · On-site

Analyze operational data to identify trends, inefficiencies, and improvement opportunities across manufacturing and supply chain processes * Develop dashboards, reports, and analytical tools to ...

Onto

Data Analytics Internship

Milpitas, CA · On-site

Analyze operational data to identify trends, inefficiencies, and improvement opportunities across manufacturing and supply chain processes * Develop dashboards, reports, and analytical tools to ...

Hillpointe

Data Analytics Intern

Winter Park, FL

$20/hr

Data Analytics Intern This is a paid internship offering $20/hour, with hands-on experience in building scalable data systems. The Data Analytics Intern will support our team in building and ...

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 ...

Hillpointe

Data Analytics Intern

Winter Park, FL · On-site

$20/hr

Data Analytics Intern This is a paid internship offering $20/hour, with hands-on experience in building scalable data systems. The Data Analytics Intern will support our team in building and ...

AARP

Data Analytics Intern

Washington, DC · On-site

$28/hr

Through this internship, you'll gain valuable experience in a fast-paced and collaborative ... Experience in quantitative analysis of microdata (aka person-level data) related to economic ...

Hillpointe

Data Analytics Intern

Winter Park, FL · On-site

$20/hr

Data Analytics Intern This is a paid internship offering $20/hour, with hands-on experience in building scalable data systems. The Data Analytics Intern will support our team in building and ...

Equifax

Data & Analytics Intern

Alpharetta, GA · On-site

This 12-week Internship Program (May 18-Aug 7, 2026) is a gateway to full-time career paths for ... Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics ...

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How much do internship nfl data analytics jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for internship nfl data analytics in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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

To thrive as an NFL Data Analytics Intern, you need a solid foundation in statistics, data analysis, and a relevant field of study such as mathematics, computer science, or sports analytics. Familiarity with programming languages like Python or R, experience with data visualization tools, and knowledge of databases such as SQL are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills set outstanding candidates apart. These skills are crucial for accurately interpreting complex football data, supporting team decision-making, and clearly conveying insights to coaches and executives.

What types of projects and responsibilities can I expect during an NFL Data Analytics internship?

As an NFL Data Analytics intern, you can expect to work on projects involving the collection, cleaning, and analysis of large sports datasets, such as player statistics, game outcomes, and tracking data. Typical responsibilities include building data visualizations, supporting predictive modeling efforts, and assisting in the preparation of reports for coaches and front-office staff. Collaboration is common, as you'll often work with data scientists, software developers, and football operations personnel. This hands-on experience provides valuable exposure to real-world sports analytics and the opportunity to contribute meaningful insights to decision-makers within the organization.

What is an NFL Data Analytics Internship?

An NFL Data Analytics Internship is a temporary, hands-on position where interns assist the NFL or its affiliated teams in analyzing large sets of football data. Interns typically work with statistics, game footage, and player performance metrics to help provide actionable insights for coaching, scouting, or business decisions. The role often involves using data analysis tools and programming languages such as Python or R. It's an excellent opportunity for students or recent graduates interested in sports analytics to gain real-world experience and build valuable industry connections.

What is the difference between Internship Nfl Data Analytics vs Data Analyst Intern?

AspectInternship Nfl Data AnalyticsData Analyst Intern
Required CredentialsRelevant coursework, basic statistical knowledgeRelevant coursework, basic statistical knowledge
Work EnvironmentSports industry, NFL teams, sports analytics firmsVarious industries, corporate offices, tech companies
Employer & Industry UsagePrimarily sports teams and sports analytics companiesBroadly used across industries including finance, marketing, tech

Internship Nfl Data Analytics and Data Analyst Intern roles share similar educational requirements and skills. However, Internship Nfl Data Analytics is specifically focused on sports data within the NFL industry, while Data Analyst Intern roles are more diverse across various sectors. The work environment for NFL analytics internships is centered around sports organizations, whereas data analyst internships can be found in multiple industries.

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What are the most commonly searched types of Nfl Data Analytics jobs? The most popular types of Nfl Data Analytics jobs are:
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Internship Nfl Data Analytics jobs near you
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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