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Football Data Analytics Internship Jobs (NOW HIRING)

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Data Analytics Intern - Summer 2027

Richmond, VA

$23 - $26/hr

Our interns will collaborate with cross-functional teams to extract, analyze, and interpret large data sets that drive business decisions and strategic initiatives. Responsibilities include assisting ...

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How much do football data analytics internship jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for football data analytics internship 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.

How much do NFL data analysts make?

NFL data analysts typically earn between $50,000 and $100,000 annually, depending on experience and location. Entry-level positions may start lower, while experienced analysts with advanced skills in data visualization and statistical software can earn higher salaries.

What is a Football Data Analytics Internship job?

A Football Data Analytics Internship is a temporary role where interns analyze football-related data to provide insights for teams, analysts, or organizations. Responsibilities may include data collection, statistical analysis, performance evaluation, and assisting with predictive modeling. Interns typically work with software like Python, R, Excel, and SQL to interpret data and present findings. This role helps interns gain practical experience in sports analytics, improving their technical and analytical skills.

What types of projects or daily tasks are typically assigned to Football Data Analytics Interns?

As a Football Data Analytics Intern, you can expect to work on tasks such as collecting and cleaning match data, conducting statistical analyses of player and team performance, and generating reports or visualizations for coaches and analysts. Interns often support ongoing research projects, contribute to scouting or tactical analyses, and may assist in developing predictive models. Collaboration with full-time analysts, coaches, and sometimes technical staff is common, providing valuable exposure to different areas of football operations. This variety of tasks helps interns develop both technical and applied skills relevant to a career in sports analytics.

What does a football analytics intern do?

A football analytics intern analyzes game data, player performance, and team statistics to provide insights that support coaching and strategic decisions. They often use data analysis tools and software, such as Excel or specialized sports analytics platforms, and may assist in preparing reports or visualizations for coaching staff and management.

What are the key skills and qualifications needed to thrive in the Football Data Analytics Internship position, and why are they important?

To thrive as a Football Data Analytics Intern, you need a solid understanding of statistics, data analysis, and football tactics, often demonstrated through coursework in data science, mathematics, or a related field. Experience with programming languages such as Python or R, familiarity with tools like Excel and Tableau, and knowledge of sports analytics software are commonly expected. Strong attention to detail, effective communication, and the ability to collaborate within a fast-paced team environment are highly valued soft skills. These abilities enable interns to extract actionable insights, clearly present findings, and contribute to data-driven decision-making within football organizations.

Do NFL teams hire data analysts?

NFL teams often hire data analysts to evaluate player performance, develop strategies, and improve decision-making using statistical tools and data analysis techniques. These roles typically require knowledge of sports analytics software, programming languages like Python or R, and a background in sports or data science. Data analysts in sports organizations contribute to competitive advantages through data-driven insights.

How to get into football data analytics?

To get into football data analytics, develop skills in data analysis, statistics, and programming languages like Python or R. Gain experience with sports data sources, learn to use analytics tools, and consider pursuing relevant degrees or certifications in sports management, data science, or related fields.
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Football Data Analytics Internship jobs near you
Infographic showing various Football Data Analytics Internship 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 $46,809 per year, or $22.5 per hour.
Business Solutions & Data Analytics Intern

Business Solutions & Data Analytics Intern

Bumble Bee Seafoods

San Diego, CA • On-site

$24 - $25/hr

Internship

Medical, Dental, Vision, Life, Retirement

Posted 11 days ago

Job description

Job Type
Internship
Description
The Business Solutions & Data Analytics Intern will support the newly established BSDA team in driving data-informed decision-making across the organization. This role provides hands-on experience working with modern data tools and technologies including Power BI, SQL, Python, and emerging AI applications.
The ideal candidate is highly curious, analytical, and excited to learn, with a strong foundation in data and programming.
This internship is designed to provide meaningful exposure to real-world business problems and offers the potential for future growth within the organization for high-performing candidates.
RESPONSIBILITIES:
  • Support development and maintenance of interactive dashboards and reports using Power BI to deliver insights to business stakeholders
  • Assist in writing and optimizing SQL queries to extract, transform, and analyze data from various systems
  • Utilize Python (or similar tools) to perform data analysis, automation, and data preparation tasks
  • Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions
  • Help clean, validate, and organize large datasets to ensure data accuracy and integrity
  • Assist in exploratory data analysis to identify trends, patterns, and improvement opportunities
  • Contribute to ongoing projects related to data modeling, reporting enhancement, and process improvement
  • Support the evaluation and application of emerging technologies, including AI tools, to improve business efficiency and decision-making
  • Document processes, workflows, and solutions to support knowledge sharing across the team

EDUCATION / EXPERIENCE / SKILLS REQUIRED:
  • Currently pursuing or recently completed a Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Business Analytics, or a related field
  • Exposure to programming languages such as Python and SQL required;
  • Familiarity with data analysis libraries (e.g., pandas, NumPy) and data visualization tools (e.g., Power BI, Tableau) preferred
  • Strong analytical and problem-solving skills with attention to detail
  • Ability to work with large datasets and maintain high levels of data accuracy
  • Eagerness to learn new technologies and apply them in a business environment, including AI-related tools
  • Strong communication skills and ability to explain data concepts to non-technical stakeholders
  • Self-motivated with the ability to manage multiple tasks and meet deadlines

COMPENSATION:
The pay for this internship is $24.00 - $25.00 per hour.
Please note, however, that Bumble Bee Foods, LLC, in its sole discretion, may modify the above compensation.
We also offer other benefits including:
  • Sick-flex time
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • HSA & FSA
  • Life insurance
  • AD&D (Accidental Death & Dismemberment) Insurance
  • Disability insurance (Short Term and Long Term Disability)
  • EAP (Employee Assistance Program)
  • And other voluntary company benefits (Critical Illness, Hospital Indemnity)
  • 401K with employer match
  • Membership to WellHub, a Health & Wellness Benefit

ABOUT THE BUMBLE BEE SEAFOOD COMPANY
The Bumble Bee Seafood Company is passionately pursuing its purpose of feeding people's lives through the power of the ocean. We are an iconic 125-year-old year-old fishing company that consistently aims to deliver delicious, healthy, and affordable food to consumers while working hard to find new ways to protect the ocean and those that rely on it. Bumble Bee is firmly anchored in a commitment to connect the world to the ocean by re-defining sourcing, producing, and enjoying products from and inspired by the ocean.
Bumble Bee's full line of seafood and specialty protein products are marketed in the U.S., Canada and over 50 markets globally under leading brands including Bumble Bee®, Brunswick®, Clover Leaf®, Snow's®, and Beach Cliff®. For more information about the company, visit TheBumbleBeeCompany.com. For product information, visit www.BumbleBee.com.
Bumble Bee Foods, LLC is an Equal Opportunity Employer/ Affirmative Action employer. Employment decisions are based on merit, qualifications, and business needs. We do not discriminate based on race (including hair texture and protective hairstyles), color, religion, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, medical condition, veteran status, or any other protected status under federal, state, or local law.
If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request accommodation, contact Bumble Bee Foods, LLC Human Resources Representative.
Requirements
  • Currently pursuing or recently completed a Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Business Analytics, or a related field
  • Exposure to programming languages such as Python and SQL required;
  • Familiarity with data analysis libraries (e.g., pandas, NumPy) and data visualization tools (e.g., Power BI, Tableau) preferred
  • Strong analytical and problem-solving skills with attention to detail
  • Ability to work with large datasets and maintain high levels of data accuracy
  • Eagerness to learn new technologies and apply them in a business environment, including AI-related tools
  • Strong communication skills and ability to explain data concepts to non-technical stakeholders
  • Self-motivated with the ability to manage multiple tasks and meet deadlines

Salary Description
$24.00 - $25.00

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