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Summer 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 · 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

NFL Data Scientist

San Francisco, CA · Remote

$160K/yr

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 ...

Gnw

Data Analytics Intern - Summer 2027

Richmond, VA

$23 - $26/hr

POSITION TITLE Data Analytics Intern - Summer 2027 POSITION LOCATION This hybrid position is located in Richmond, Virginia. YOUR ROLE At Genworth and CareScout, we see your data-driven and analytic ...

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 ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... This position is a summer internship. The ideal candidate will be a self-starter, a natural problem ...

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 ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... This position is a summer internship. The ideal candidate will be a self-starter, a natural problem ...

Synchrony

BLP Intern - Data Analytics

Stamford, CT

During the summer, each BLP Intern is provided with project work that is important to our business ... Data Analytics BLP Internship Experience: What You'll Accomplish This internship is for students ...

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 ...

City of New York

Data Analytics Grad Intern

Manhattan, NY · On-site

$20 - $30/hr

DOF's Tax Policy & Data Analytics Division reviews, analyzes, and evaluates existing and proposed ... SUMMER GRADUATE INTERN - 10232 Qualifications Candidates must be currently enrolled in a graduate ...

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 ...

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All JobsSummer Nfl Data Analytics Jobs

Summer Nfl Data Analytics information

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$59

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

As of Jul 22, 2026, the average hourly pay for summer nfl data analytics in the United States is $59.24, according to ZipRecruiter salary data. Most workers in this role earn between $58.65 and $59.86 per hour, depending on experience, location, and employer.

How to become an analyst for an NFL team?

To become an NFL team analyst, candidates typically need a strong background in sports analytics, data analysis, or related fields, often holding a bachelor's degree in statistics, data science, or a similar discipline. Gaining experience with data analysis tools like SQL, Python, or R, and understanding football strategies and metrics are essential. Internships or entry-level roles in sports organizations can provide valuable industry experience and networking opportunities.

What is the difference between Summer Nfl Data Analytics vs Summer Sports Data Analysis?

AspectSummer Nfl Data AnalyticsSummer Sports Data Analysis
Required CredentialsBachelor's in Data Science, Sports Management, or related fields; knowledge of NFL dataBachelor's in Data Science, Sports Management, or related fields; general sports data knowledge
Work EnvironmentNFL teams, sports analytics firms, or media companies during summer internshipsVarious sports organizations, media outlets, or analytics firms during summer internships
Industry UsageSpecifically focused on NFL data and game analysisBroader sports industry, including multiple sports leagues and events

Summer Nfl Data Analytics involves analyzing NFL-specific data to support team strategies, player performance, and game insights, whereas Summer Sports Data Analysis covers a wider range of sports data across multiple leagues. Both roles require similar educational backgrounds and work environments but differ in their focus on NFL versus broader sports data.

How to get into data analysis in football?

To pursue a career as a summer NFL data analyst, develop strong skills in statistics, programming (such as Python or R), and data visualization tools. Gaining experience with sports data, understanding football strategies, and obtaining relevant certifications or degrees in data science or sports management can improve your prospects.

How much does NFL data analytics make?

NFL data analytics professionals typically earn between $60,000 and $120,000 annually, depending on experience, education, and the level of responsibility. Entry-level roles may start lower, while experienced analysts or those in senior positions can earn higher salaries, especially with specialized skills in data modeling and sports analytics tools.

Do NFL teams hire data analysts?

Yes, NFL teams hire data analysts to evaluate player performance, develop strategies, and improve decision-making using statistical analysis and data visualization tools. These roles often require knowledge of sports analytics, programming skills, and familiarity with sports data sources. Data analysts in the NFL contribute to team success by providing insights based on large datasets and advanced analytics.
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Summer Nfl Data Analytics jobs near you
Infographic showing various Summer Nfl Data Analytics job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $123,210 per year, or $59.2 per hour.
NFL Data Scientist

NFL Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$140K/yr

Full-time

Posted 18 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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