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How much do internship aws next gen stats jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for internship aws next gen stats in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What is an Internship in AWS Next Gen Stats?

An Internship in AWS Next Gen Stats is a temporary, entry-level position where students or recent graduates work with Amazon Web Services (AWS) and its Next Gen Stats platform, which provides advanced analytics for sports, especially football. Interns typically assist in data analysis, software development, and research projects that enhance the processing and visualization of sports statistics. The role helps interns gain hands-on experience with cloud technologies, big data tools, and real-world sports analytics applications while working alongside experienced engineers and data scientists.

What types of projects and team collaborations can I expect during an AWS Next Gen Stats internship?

As an AWS Next Gen Stats intern, you can expect to work on data-driven projects that support the analysis and visualization of sports statistics, often using AWS cloud services and big data tools. Interns typically collaborate with data scientists, engineers, and product managers to develop new features or improve existing analytics pipelines. You'll gain exposure to real-world datasets, contribute to code reviews, and participate in agile team meetings, providing an immersive experience in both technical and collaborative aspects of sports analytics. This role offers valuable hands-on learning and opportunities to develop your technical and teamwork skills in a dynamic, fast-paced environment.

What are the key skills and qualifications needed to thrive as an AWS Next Gen Stats Intern, and why are they important?

To thrive as an AWS Next Gen Stats Intern, you typically need a strong foundation in data analysis, programming (often Python or R), and statistics, supported by progress toward a relevant degree such as computer science or data science. Familiarity with AWS cloud services, data visualization tools, and sports analytics platforms is highly beneficial. Analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These skills ensure interns can contribute valuable insights from complex sports datasets, support technical projects, and communicate findings clearly to technical and non-technical stakeholders.

What is the difference between Internship Aws Next Gen Stats vs Data Analyst Intern?

AspectInternship Aws Next Gen StatsData Analyst Intern
Required CredentialsBasic knowledge of AWS, data analysis fundamentalsRelevant degree in data science, statistics, or related field
Work EnvironmentTech companies, sports analytics, cloud computing projectsBusiness, finance, marketing, or sports organizations
Employer & Industry UsagePrimarily in sports analytics, cloud services, and tech firmsAcross various industries including finance, marketing, and sports

Internship Aws Next Gen Stats focuses on applying AWS cloud services to sports analytics projects, emphasizing cloud computing and data processing. In contrast, a Data Analyst Intern typically works on analyzing data sets across industries, using statistical tools and software. Both roles involve data handling but differ in technical focus and industry application.

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Internship Aws Next Gen Stats jobs near you
Infographic showing various Internship Aws Next Gen Stats job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.
Seasonal Next Gen Stats Research Analyst

Seasonal Next Gen Stats Research Analyst

The National Football League

Inglewood, CA

Other

Posted 29 days ago

Job description

The NFL's Next Gen Stats team is seeking an experienced research analyst to help produce insights throughout the NFL season. This role's primary responsibility will be compiling pregame research packets and providing live in-game support for our broadcast partners to oversee integration of Next Gen Stats data into live game telecasts. Other responsibilities include supporting NFL+ and NFL.com content, assisting in the development of new statistics powered by football tracking data, and building dashboards to streamline research capabilities. Next Gen Stats Research Analysts will collaborate with other departments throughout the NFL Media organization, including the Next Gen Stats Engineering team and various content-focused groups. The ideal candidate will demonstrate deep football knowledge and acumen and a background in research, statistics and/or analytics.  Candidates must be self-motivated and work well under tight deadlines.

Responsibilities

  • Develop original storylines and analysis based on own research within large data sets
  • Deliver weekly game preview packets to broadcasters breaking down matchups and highlighting key team tendencies, strengths, and weaknesses
  • Collaborate with NFL owned & operated content verticals and third-party broadcast partners to provide them with engaging Next Gen Stats narratives and supporting data
  • Maintain and improve Next Gen Stats research dashboards
  • Recognize and anticipate league and team trends, applying appropriate statistics to create content for various platforms including social media
  • Drive development of new football analytics using Next Gen Stats
  • Ensure accuracy of data before distribution 

Required Qualifications

  • Bachelor's Degree in a related field
  • Extensive football knowledge required
  • Comfortable working with large sets of data
  • Coding skills not mandatory, but encouraged
  • Strong written and verbal communication skills
  • Ability to quickly learn new systems and tools
  • Must be able to adhere to strict deadlines and react to breaking news
  • Strong grammar skills
  • Strong attention to detail

Preferred Education and Experience:

  • Experience playing, coaching, or scouting football is a plus
  • Experience cleaning, compiling, modeling, and analyzing football data, from play-by-play to frame-level tracking data
  • Proficient in writing complex queries using SQL
  • Proficient in Python and/or R for statistical analysis
  • Experience building dashboards using BI tools such as Tableau or Quicksight

Terms / Expected Hours of Work

  • Minimum 40 hours a week
  • May work overtime as needed (including Holidays)
  • Must be available to work a flexible schedule including weekends and holidays (specifically Sundays in-season)
  • Up to 7-month seasonal employment

Salary / Pay Range

This job posting contains a pay range, which represents the range of salaries or hourly rates that the NFL believes, in good faith, at the time of this posting that it might be willing to pay for the posted job in the location(s) specified. The NFL expects to hire for this position near the middle of the range. Only in truly rare and exceptional circumstances, where an external candidate has experience, credentials or expertise that far exceed those required or expected for the position, would the NFL consider paying a salary or rate near the higher end of the range. 

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