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Internship Nfl Data Analyst Jobs in Spring, TX (NOW HIRING)

Data Protection, A/SA-Evergreen

Houston, TX · On-site

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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Internship Nfl Data Analyst information

See Spring, TX salary details

$10

$20

$37

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

As of Sep 9, 2026, the average hourly pay for internship nfl data analyst in Spring, TX is $20.03, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.83 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.

What are the most commonly searched types of Nfl Data Analyst jobs in Spring, TX?

The most popular types of Nfl Data Analyst jobs in Spring, TX are:

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For Internship Nfl Data Analyst jobs in Spring, TX, the most frequently searched job titles are:

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What cities near Spring, TX are hiring for Internship Nfl Data Analyst jobs?

Cities near Spring, TX with the most Internship Nfl Data Analyst job openings:

Infographic showing various Internship Nfl Data Analyst job openings in Spring, TX as of August 2026, with employment types broken down into 18% Internship, 76% Full Time, and 6% Part Time. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $41,655 per year, or $20 per hour.

Operations Analyst Internship

Houston, TX • On-site

Fervo Energy Company
Clean Energy Semiconductors Manufacturing • 11 - 50 employees

Full-time, Internship

Posted 5 days ago


Job description

Internship Overview
You won't be running coffee orders or shuffling paperwork this summer. At Fervo, interns are handed something real: a project of your own, scoped with your manager on day one and yours to drive for the full 12 weeks. You'll work side-by-side with the teams building the next generation of geothermal energy, tackling problems that genuinely move the business forward. At the end of the summer, you'll present your work to our executive leadership team, department leads, and fellow interns, sharing real results with a real audience. This is a real seat at the table - and a real shot at what comes next.
Position Description
Fervo Energy is developing next-generation geothermal power to deliver firm, carbon-free energy at scale. Our flagship Cape Station development in Milford, Utah is one of the largest next-generation geothermal developments in the world, and our Houston headquarters houses the engineering, commercial, and corporate teams driving Fervo's growth. You'll support the Operations Chief of Staff function with data analysis and reporting that helps Operations leadership make faster, better-informed decisions.
Requirements
Responsibilities
  • Support data analysis and reporting across operations metrics
  • Assist with building dashboards and tracking tools for Operations leadership
  • Help prepare materials for operations business reviews
  • Support ad hoc analytical projects for the Operations Chief of Staff (CoS) function

Required Qualifications
  • Rising Junior, Senior, Master's/MBA candidate wrapping up within the next year, or PhD candidate - we're building a pipeline toward full-time offers
  • Strong written and verbal communication skills, including comfort presenting to stakeholders and leadership
  • Eagerness to learn, take initiative, and adapt quickly to new challenges

Preferred Qualifications
  • Interest in Data Science, Engineering, Business Analytics, or related field
  • Strong Excel/analytics skills; SQL or Python a plus
  • Comfort synthesizing data into clear takeaways for leadership