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Internship Nfl Data Analyst Jobs (NOW HIRING)

NFL Data Scientist

San Francisco, CA ยท 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 ...

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 ...

$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 ...

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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 ...

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 ...

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 ...

The Jaguars are one of the NFL's youngest franchises, playing their first regular season home game ... Interns will gain experience with analytics tools, cloud platforms, and cross department ...

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 ...

Data Analyst Internship Project: Comparative analysis of patient cycle time from consultation to treatment start date. The analysis will include: * The selection of 30 patients from the first quarter ...

... internship and job outcomes * Analyze industry and alumni engagement metrics to identify trends, opportunities, and areas for improvement; suggest new metrics as data allows and as relevant to ...

Data Analyst

Radford, VA ยท On-site

$38K/yr

Proficiency in key data analysis and visualization tools such as SQL, Python, R, Excel, Tableau, Cognos, or Power BI demonstrated through academic projects, internships, or personal work. Strong ...

Data Analyst

Radford, VA ยท On-site

$38K/yr

Proficiency in key data analysis and visualization tools such as SQL, Python, R, Excel, Tableau, Cognos, or Power BI demonstrated through academic projects, internships, or personal work. Strong ...

Bachelor's degree in Finance, Economics, Mathematics, Data Analytics, or a related field * 0-3 years of experience in data analysis or a similar role (internships included) * Strong proficiency in ...

Investment Data Analyst

New York, NY ยท On-site

$145K - $185K/yr

Job Summary Investment Data Analyst Initio Capital Part-time, Full-time, Contract, Temporary, Internship, Casual Hybrid | New York, NY, United States Investment Data Analyst Initio Capital Location:

Data Analyst

Boston, MA ยท On-site +1

... internship and job outcomes * Analyze industry and alumni engagement metrics to identify trends, opportunities, and areas for improvement; suggest new metrics as data allows and as relevant to ...

Data Analyst

Manhattan, NY ยท On-site +1

Contribute to improving data processes, documentation, and best practices Requirements * 1-2+ years of experience in a data analyst, BI analyst, or data-related role (internships and project work ...

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Data Analyst

Andrews Air Force Base, MD ยท On-site

$85K - $95K/yr

Demonstrated interest in the Department of Defense environment through internships, military ... with data visualization tools such as PowerBI, Tableau, Plotly, or RStudio. * Strong analytical ...

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

As of May 28, 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 are the key skills and qualifications needed to thrive as an Internship NFL Data Analyst, and why are they important?

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, and how do these contribute to the team's decision-making processes?

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 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 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.

More about Internship Nfl Data Analyst jobs
What cities are hiring for Internship Nfl Data Analyst jobs? Cities with the most Internship 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 Internship Nfl Data Analyst jobs? States with the most job openings for Internship Nfl Data Analyst jobs include:
Infographic showing various Internship Nfl Data Analyst job openings in the United States as of May 2026, with employment types broken down into 67% Internship, and 33% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
NFL Data Scientist

NFL Data Scientist

Swish Analytics

San Francisco, CA โ€ข On-site, Remote

$140K/yr

Full-time

Posted 22 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