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Internship 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 · 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 ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

ConnectPrep

Data Analyst Internship

Washington, DC · Remote

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

Papco

Data Analyst

Miami, FL · On-site +1

$75K - $85K/yr

Internship, co-op, research, or academic project experience involving data analysis, programming, modeling, or business analytics * 6 months to 1 years of relevant professional experience in ...

World Fuel Services Corporation

Data Analyst

Miami, FL · On-site +1

$75K - $85K/yr

Internship, co-op, research, or academic project experience involving data analysis, programming, modeling, or business analytics * 6 months to 1 years of relevant professional experience in ...

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Internship Nfl Data Analyst information

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

As of Aug 18, 2026, the average hourly pay for internship nfl data analyst 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 does an NFL data analyst intern do?

An NFL Data Analyst intern assists with collecting, cleaning, and analyzing football-related data to help teams and organizations make informed decisions. Their responsibilities often include working with player statistics, game data, and performance metrics using various tools and programming languages such as Excel, Python, or R. Interns may also help prepare reports, visualizations, and presentations for coaches, scouts, or executives. This role provides hands-on experience in sports analytics and a valuable introduction to data-driven decision-making in the NFL.

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

To thrive as an Internship NFL Data Analyst, you need a solid background in statistics, data analysis, and familiarity with football analytics, typically supported by coursework or a degree in statistics, mathematics, or a related field. Proficiency with data analysis tools such as Python, R, SQL, and visualization platforms like Tableau, as well as experience with sports data systems, is often required. Strong attention to detail, critical thinking, and effective communication skills help you interpret data and convey insights to both technical and non-technical stakeholders. These skills ensure accurate analysis, impactful reporting, and valuable contributions to team performance decisions.

What types of projects and data sets do NFL data analyst interns typically work with?

As an NFL Data Analyst intern, you'll often work with a variety of data sets, including player performance statistics, game footage analytics, injury reports, and scouting data. Typical projects may involve cleaning and visualizing large data sets, building predictive models, or generating reports to help coaches and front office staff make informed decisions about game strategy or player acquisitions. This hands-on work directly supports the analytics team and can have a real impact on how the organization approaches both short-term tactics and long-term planning.

What is the difference between Internship Nfl Data Analyst vs NFL Data Analyst?

AspectInternship NFL Data AnalystNFL Data Analyst
Required CredentialsEnrolled in or recent graduate of relevant degree programBachelor's or higher in data science, statistics, or related field
Work EnvironmentInternship setting, supervised, entry-level tasksFull-time, professional environment, independent analysis
Employer & Industry UsageSports teams, media, or analytics firms during internshipTeam organizations, media outlets, or analytics companies

The main difference is that an Internship NFL Data Analyst is a temporary, entry-level position for students or recent graduates gaining experience, while an NFL Data Analyst is a full-time professional role requiring more experience and responsibility in analyzing NFL data.

Do NFL teams hire internship NFL data analysts?

NFL teams do offer internship opportunities for data analysts, including roles focused on sports statistics, performance analysis, and data management. These internships typically require relevant skills in data analysis tools, programming, and sports knowledge, and are often available during the off-season or summer periods. Interested candidates should check team websites or sports industry job boards for specific openings and application details.

How much do NFL data analysts make?

NFL data analysts typically earn 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 advanced skills in data analysis tools and sports analytics can earn higher compensation. Salaries can also vary based on the organization and location.

How to get an internship in the NFL?

To secure an internship as an NFL data analyst, candidates should have strong analytical skills, proficiency in data tools like Excel, SQL, or Python, and a background in sports management, statistics, or related fields. Applying through official NFL internship programs or team-specific opportunities, and demonstrating relevant experience or projects, can improve chances of selection.
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Internship Nfl Data Analyst jobs near you
Infographic showing various Internship Nfl Data Analyst job openings in the United States as of August 2026, with employment types broken down into 23% Internship, 69% Full Time, and 8% Part Time. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $46,809 per year, or $22.5 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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