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Football Data Analytics Internship Jobs in Florida

MHI

Data Science Internship (Governance)

Lake Mary, FL · On-site

Role Overview We are seeking a motivated and analytical Data Science Associate to support Compliance, Legal, Assurance, and Governance functions by embedding data analytics into compliance, risk, and ...

Fortegra

2027 Summer Internship

Jacksonville, FL · On-site

Interns will be placed in one of several departments based on skills, interests, and business needs ... Data Analytics * Underwriting * Cybersecurity * Business Analysis What Intern will gain: * Hands-on ...

Versant Media

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

Bachelor's degree is required in Business Analytics, Computer Information Systems, Industrial ... Prior internship or work experience is preferred * Strong intellectual curiosity paired with ...

Randstad Digital

Data Analyst

Daytona Beach, FL · On-site

$21 - $24/hr

REQUIRED SKILLS & EXPERIENCE Experience: 0 to 2 years of professional experience in a data-centric, administrative, or analytical role (relevant internships are highly welcomed). Advanced Excel:

Randstad Digital

Data Analyst

Daytona Beach, FL · On-site

$21 - $24/hr

REQUIRED SKILLS & EXPERIENCE Experience: 0 to 2 years of professional experience in a data-centric, administrative, or analytical role (relevant internships are highly welcomed). Advanced Excel:

regency

Analytics Intern

Jacksonville, FL · On-site

Benefits for Internships: Real-world exposure to the use of analytics within a public, commercial Real Estate Investment Trust. Using a modern data platform to build production analytics to inform ...

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Football Data Analytics Internship information

What is a football data analytics internship?

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 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.

What are the most commonly searched types of Football Data Analytics jobs in Florida? The most popular types of Football Data Analytics jobs in Florida are:
What are popular job titles related to Football Data Analytics Internship jobs in Florida? For Football Data Analytics Internship jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Football Data Analytics Internship jobs in Florida look for? The top searched job categories for Football Data Analytics Internship jobs in Florida are:
What cities in Florida are hiring for Football Data Analytics Internship jobs? Cities in Florida with the most Football Data Analytics Internship job openings:
Football Data Analytics Internship jobs near you
Infographic showing various Football Data Analytics Internship job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Student Data Analyst, BAR - Lakeland

Publix Super Markets, Inc.

Lakeland, FL

Full-time

Posted 12 days ago

Publix rating

6.8

Company rating: 6.8 out of 10

Based on 4,670 frontline employees who took The Breakroom Quiz

28th of 122 rated grocery stores

Job description

Are you a college student in the Central Florida area interested in a semiannual data analytics program? Would you like to gain valuable hands-on experience and exposure to machine learning and business intelligence? Do you want to work on challenging projects and learn more about the Publix organization? Do you want to network with professionals to develop skills beyond what you can learn in a classroom? If yes, then this internship at Publix may be the perfect fit for you. The Student Data Analyst program is a semiannual program based in our Lakeland corporate headquarters. Our goal is to provide the Student Data Analyst as much exposure to the day-to-day work of a full-time Data Analyst as possible, so the student works directly with the Publix Supply Chain Data Analytics team to assist with Supply Chain Forecasting, Pharmacy, Inventory Shrinkage, Risk Management, and Activity Based Costing projects.
Responsibilities include:
  • Developing and assisting with the development of new analyses, metrics and reports to provide insightful recommendations to supply chain analytics team members and business area leadership
  • Developing algorithms and analytical models which transform a process into a data model
  • Coordinating with Data Scientists to proactively seek learning and training opportunities to enhance data modeling, statistical analysis and other analytical techniques
  • Working with Data Analysts and Data Scientists to research and apply statistical modeling algorithms that can be utilized to improve forecast accuracy

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