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

Guidehouse

Public Health Data Engineer

Houston, TX

$109K - $131K/yr

Experience with data integration, ETL, data warehousing, or analytics concepts. What Would Be Nice To Have: * Internship, academic, research, or project experience involving data engineering, cloud ...

Guidehouse

Public Health Data Engineer

Houston, TX

$70K - $116K/yr

Exposure to data integration, ETL, data warehousing, or analytics concepts. What Would Be Nice To Have: * Internship, academic, research, or project experience involving data engineering, cloud ...

Penske

Operational Excellence Analyst

Houston, TX

... data analysis or process analysis skillsets preferred. This can include coop or internship assignments - 2 years in an Industrial Engineering or equivalent role preferred. This can include coop or ...

Anglin Consulting LLC

Be Seen First

Board Certified Behavior Analyst (BCBA) Intern

Houston, TX · On-site

$41K - $58K/yr

BCBA Interns have small caseloads. Full positions available. BCBA Intern Job Responsibilities ... Oversee assessments, plan development, treatment integrity and ongoing data analysis * Attend ...

Protingent

Inventory Analyst

TX · On-site

$70 - $77/hr

... internships acceptable) * Strong Excel skills (pivot tables, lookups, basic data analysis) * Experience with ERP systems (SAP, etc.) preferred * Basic understanding of supply chain and inventory ...

Boutique Recruiting

Treasury & FP&A Analyst

Houston, TX · On-site

$60K - $75K/yr

... internship experience * Hands-on experience with accounts receivable and cash management * Strong analytical, quantitative, and problem-solving abilities with the ability to turn financial data into ...

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All JobsNfl Data Analyst JobsInternship Nfl Data Analyst JobsInternship Nfl Data Analyst Jobs in Spring, TX

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 Aug 20, 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:

What job categories do people searching Internship Nfl Data Analyst jobs in Spring, TX look for?

The top searched job categories for Internship Nfl Data Analyst jobs in Spring, TX are:

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:

Internship Nfl Data Analyst jobs near you
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.

Public Health Data Engineer

Guidehouse

Houston, TX

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago

Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

33rd of 72 rated business consultants

Job description

Job Family:

Data Science & Analysis


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

Guidehouse seeks a Data Engineer to support the development, maintenance, and enhancement of data pipelines, cloud-based data platforms, and analytics solutions. The ideal candidate is an early-career professional with foundational experience in data engineering, software development, or cloud technologies who is eager to learn and grow in a collaborative environment.

  • Assist in developing, testing, and maintaining data pipelines and ETL/ELT processes that ingest, transform, and load data from various sources.

  • Support the implementation and enhancement of data models, databases, and cloud-based data solutions.

  • Participate in data integration, migration, and modernization initiatives under the guidance of senior engineers.

  • Develop and maintain scripts, queries, and applications using technologies such as Python, SQL, and PySpark.

  • Support cloud-based data environments and services in AWS and Azure.

  • Assist with the implementation of CI/CD processes and software development best practices using Git and related tools.

  • Monitor data pipelines and systems, identify issues, and support troubleshooting and resolution activities.

  • Perform data validation and quality assurance activities to help ensure data accuracy, completeness, and reliability.

  • Collaborate with data engineers, developers, analysts, and other stakeholders to deliver high-quality solutions.

  • Document technical processes, data flows, and system configurations.

  • Continuously develop technical skills and stay current with emerging data engineering technologies and best practices.


What You Will Need:

  • U.S. Citizenship or permanent residency is required and Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST.

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related technical field.

  • TWO (2) or more years of experience in data engineering, software engineering, data analytics, computer science, or a related technical discipline.

  • Experience with a programming language such as Python, Java, or SQL.

  • Experience with cloud platforms such as AWS or Azure through coursework, certifications, internships, or professional experience.

  • Experience with data integration, ETL, data warehousing, or analytics concepts.

What Would Be Nice To Have:

  • Internship, academic, research, or project experience involving data engineering, cloud computing, or software development.

  • Basic understanding of relational databases and data querying concepts.

  • Familiarity with version control systems such as Git.

  • Basic understanding of software development lifecycle and Agile methodologies.

  • Strong analytical, problem-solving, and troubleshooting skills.

  • Ability to learn new technologies and work collaboratively in a team environment.

  • Strong verbal and written communication skills.

  • Experience working with public health data and agencies

  • Exposure to Databricks, Spark, or large-scale data processing technologies.

  • Familiarity with AWS services such as S3, Lambda, or Redshift, or Azure services such as Azure Data Factory, Azure Functions, or Cosmos DB.

  • Experience with data visualization or reporting tools such as Power BI, Tableau, or Kibana.

  • Exposure to CI/CD tools and DevOps practices.

  • AWS, Azure, Databricks, or related cloud/data certifications.

  • Experience supporting healthcare, public sector, or federal clients.

  • Interest in data architecture, machine learning, artificial intelligence, or advanced analytics.

  • Previous consulting, client-facing, internship, or cooperative education experience.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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