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Football Data Analytics Internship Jobs (NOW HIRING)

AI, data, and analytics work you will support * Work with AI tools and workflows to support data ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

AI, data, and analytics work you will support * Work with AI tools and workflows to support data ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

AI, data, and analytics work you will support * Work with AI tools and workflows to support data ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

This 12-week Internship Program (May 18-Aug 7, 2026) is a gateway to full-time career paths for ... Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics ...

Data Analytics BLP Internship Experience: What You'll Accomplish This internship is for students who are looking to get a critical jump start on a career in Data Analytics, working side by side with ...

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 ...

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 ...

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Football Data Analytics Internship information

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

As of Jul 1, 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.
More about Football Data Analytics Internship jobs
What cities are hiring for Football Data Analytics Internship jobs? Cities with the most Football Data Analytics Internship job openings:
What are the most commonly searched types of Football Data Analytics jobs? The most popular types of Football Data Analytics jobs are:
What states have the most Football Data Analytics Internship jobs? States with the most job openings for Football Data Analytics Internship jobs include:
Data Analyst Internship

Data Analyst Internship

ConnectPrep

Boston, MA • Remote

Internship

Posted 19 days ago


Job description

About ConnectPrep: Our goal is to redefine “tutoring” – to use data, insight, and our extensive teaching experience find solutions for our students. ConnectPrep is about connecting – connecting students, parents, educators, and the community. We have bold ideas and an eye towards the future.

The Opportunity: We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You’ll engage with our team of educators to validate and iterate the models that drive our analytics. Our Data Analysts develop an understanding of our algorithms, the technologies and platforms that support our products, and our proprietary educational content. This knowledge will then be synthesized into actionable tests to build modules that will assist in identifying the academic needs of each individual student. You will engage with team members that think outside of the box, with the goal of improving education through the creation of a data infrastructure and insightful analytics.

Requirements

What we are looking for:

  • Core skills
  • You enjoy creative problem solving and working with messy, real-world data.
  • You have strong math/quantitative skills and excellent attention to detail.
  • You are curious about how data can improve learning and student outcomes.
  • Academic & technical background
    • You are studying (or have studied) Applied Mathematics, Statistics, Computer Science, Data Science, or a related field.
    • You have some coding experience and a strong interest in technology and AI.
    • You have experience with at least one of the following:
    • SQL, Python data tools (Pandas, NumPy, or similar)
    • Building simple data pipelines or analysis scripts in Python
  • Excel & analysis skills
  • You are comfortable doing serious work in Excel, including several of the following:
  • Advanced formulas and functions
  • Tables and formatting
  • Conditional formatting
  • Advanced charting and visualizations
  • Pivot tables and pivot reporting
  • Using Excel productively for analysis, not just basic spreadsheets
  • Data tables, simulations, and Solver
  • (Bonus) VBA and macros
  • AI, data, and analytics work you will support
  • Work with AI tools and workflows to support data-driven decision-making
  • Perform data mining and cleaning from multiple sources (web, internal trackers, marketing platforms)
  • Support projects involving AI and chatbot development for ConnectPrep’s programs and website
  • Conduct SEO and keyword research to identify growth opportunities and track performance
  • Analyze website analytics (traffic, engagement, conversions) and prepare simple dashboards or summary reports
  • Assist with data analysis for marketing campaigns, content performance, and business operations
  • Help test, document, and iterate on new data and AI workflows as they are developed
  • Nice to have
  • Prior internship or project experience in data analysis, business intelligence, or marketing analytics
  • Familiarity with web analytics and marketing tools (for example, Google Analytics, GA4, Search Console, Looker Studio, or similar platforms)
  • Experience visualizing data in tools such as Tableau, Power BI, or Data Studio
  • Experience working with SEO tools or keyword platforms
  • Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards)

Benefits

Why join ConnectPrep?

  • Get in on the ground floor of an exciting new company, with the potential to help shape our direction
  • Be involved with a team that has bold ideas, with the goal of reinventing education across the globe
  • Gain valuable experience, meet technology innovators, and learn about the business side of our company


Sound Interesting?

Please submit your resume and letter of interest at careers@connectprep.com.

All applicants must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer. ConnectPrep is an equal opportunity employer EEO/M/F/D/V.