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Sports Data Analytics Intern Jobs in Florida (NOW HIRING)

We are seeking an Intern - Analytics to join our corporate office located in Jacksonville, Florida ... Familiarity with data visualization tools such as Power BI * Proficient in SQL Server with ...

Analytics Intern

Jacksonville, FL · On-site

$14 - $18.50/hr

We are seeking an Intern - Analytics to join our corporate office located in Jacksonville, Florida ... Familiarity with data visualization tools such as Power BI * Proficient in SQL Server with ...

The Data Intelligence Intern will support the Division of Analytics, Intelligence, and Reporting by assisting with data analysis, business intelligence, automation, and reporting initiatives. This ...

The Data Intelligence Intern will support the Division of Analytics, Intelligence, and Reporting by assisting with data analysis, business intelligence, automation, and reporting initiatives. This ...

The Data Intelligence Intern will support the Division of Analytics, Intelligence, and Reporting by assisting with data analysis, business intelligence, automation, and reporting initiatives. This ...

The Data Intelligence Intern will support the Division of Analytics, Intelligence, and Reporting by assisting with data analysis, business intelligence, automation, and reporting initiatives. This ...

Robotics Data Pipeline Intern - Multimodal Data About Us At Persona, we're building the next ... Owning post-processing algorithms for force analysis and hidden state inference, including contact ...

Robotics Data Pipeline Intern - Multimodal Data About Us At Persona, we're building the next ... Owning post-processing algorithms for force analysis and hidden state inference, including contact ...

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Sports Data Analytics Intern information

What is a sports data analytics intern?

Sports Data Analytics Interns are entry-level professionals who assist sports organizations with collecting, analyzing, and interpreting data to support decision-making in areas such as player performance, game strategy, and team operations. They typically work with large datasets, utilize statistical tools, and create reports or visualizations to present their findings. This role often involves working closely with coaches, analysts, and other staff to translate data insights into actionable recommendations. Interns gain valuable hands-on experience in both sports management and data analytics, which can lead to more advanced roles in sports analytics or related fields.

What types of projects and responsibilities can I expect as a sports data analytics intern?

As a Sports Data Analytics Intern, you'll typically work on projects such as analyzing player performance data, creating visual dashboards, and assisting in the development of predictive models for game outcomes or player statistics. Daily tasks often involve data cleaning, running statistical analyses, and collaborating with coaches or data scientists to interpret findings. Interns may also have opportunities to present their insights to team members or management, gaining valuable experience in both technical and communication skills. This role offers a dynamic environment where you can contribute to real-world decisions in sports organizations while learning from experienced professionals.

What are the key skills and qualifications needed to thrive as a sports data analytics intern, and why are they important?

To thrive as a Sports Data Analytics Intern, you need a solid understanding of statistics, data analysis, and sports fundamentals, often supported by coursework or a degree in statistics, mathematics, or a related field. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data and convey insights to technical and non-technical stakeholders. These skills enable interns to provide actionable insights that can improve team performance and inform strategic decisions.

What is the difference between Sports Data Analytics Intern vs Sports Data Analyst?

AspectSports Data Analytics InternSports Data Analyst
Required CredentialsCurrently pursuing or recently completed a degree in sports management, statistics, or related fieldBachelor's or master's degree in data science, statistics, or sports management
Work EnvironmentInternship programs, entry-level positions, often in sports teams or analytics companiesFull-time roles in sports organizations, analytics firms, or media companies
Employer & Industry UsageUsed by sports teams, universities, and sports analytics startups for training and entry-level tasksEmployed by professional sports teams, leagues, and media outlets for ongoing data analysis

The main difference between a Sports Data Analytics Intern and a Sports Data Analyst lies in experience and responsibilities. Interns are typically students or recent graduates gaining foundational skills, while analysts are experienced professionals performing in-depth data analysis and decision-making. Internships serve as a stepping stone toward a full analyst role in the sports industry.

What are popular job titles related to Sports Data Analytics Intern jobs in Florida?

For Sports Data Analytics Intern jobs in Florida, the most frequently searched job titles are:

What cities in Florida are hiring for Sports Data Analytics Intern jobs?

Cities in Florida with the most Sports Data Analytics Intern job openings:

Infographic showing various Sports Data Analytics Intern job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Full-time, Internship

Posted 17 days ago


Job description

About this Opportunity:

At Regency Centers, our people are our greatest asset, and we believe that our highly skilled and talented team makes us better. We are seeking an Intern – Analytics to join our corporate office located in Jacksonville, Florida during the spring of 2027. This internship will provide exposure to several key areas of commercial real estate through hands-on experience and training in the following functions: Analytics, Business Planning (FP&A), Accounting & Reporting, and Capital Markets. Assignments given will include a mix of performing daily tasks while shadowing one or more experienced accounting, finance and/or real estate professionals and working to identify process improvements or product enhancements through the application of analytic tools (e.g. automation, dashboards). This internship will involve working approximately 20 hours per week (in person in our Jacksonville office) for the duration of a university semester. This internship is designed to provide you with valuable industry exposure, mentorship, and the opportunity to develop your skills in a dynamic environment. In addition to gaining practical experience, high-performing interns may be considered for a full-time position upon successful completion of the internship, subject to business needs.

 

 

Key Responsibilities/Projects May Include:

  • Identify opportunities for process efficiencies or enhancements, including utilization of Power Automate or similar tools
  • Enhance reporting and analysis of Company KPIs through development of analytical models, including recommendations for visualizations or analytical tools including interactive dashboards.
  • Provide recommendations for machine learning techniques and building predictive models for decision-making and financial/operational reporting
  • Conclude the internship by delivering a final presentation that highlights your top business case recommendation and its potential impact for Regency Centers.

Qualifications:

Required:

 

  • Must be a student in good standing enrolled in Masters’ degree classes
  • GPA of at least 3.0 at the time of application
  • Intermediate level proficiency or higher with current Microsoft Office software (including Word, Outlook, Excel, and PowerPoint), email, and internet research functionality
  • Familiarity with data visualization tools such as Power BI
  • Proficient in SQL Server with experience writing and troubleshooting basic queries
  • Ability to learn new programs and software quickly
  • Ability to work 20 hours a week, with at least three days of the week in our Jacksonville office (Monday and Tuesday required in office)

 

Preferred:

 

  • Passion for data science and delivering data-driven outcomes.
  • Strong analytical and problem-solving skills
  • Understanding of Machine Learning concepts and tools
  • Experience with Python or R for data analysis
  • Familiarity with Cloud (Azure, AWS, Google etc.) platforms
  • Be enrolled in an industry-related degree program such as Business Analytics, Real Estate or Business Administration
  • Completion of real estate and/or business/finance courses

Personal Characteristics:

  • Capable of precise written and verbal communication
  • Strong attention to detail
  • Effective time management, priority setting, and organizational skills
  • Trustworthy and able to handle confidential and proprietary information appropriately
  • Interpersonal savvy including the ability to work within a team environment and take direction from different sources

 

 

A Little Bit About Us:

We own and operate premier shopping centers in suburban neighborhoods in the top cities and markets across the country. We live by a strong set of values, which have guided us for more than 60 years.

Our centers thrive with highly productive grocers, restaurants, service providers, and terrific retailers that connect to their communities and customers. We are also active developers of new shopping centers that feature great merchandising, placemaking, and customer engagement as part of our Fresh Look™ program.

We are a vertically integrated real estate company and a qualified real estate investment trust (REIT) that is self-administered, self-managed, and an S&P 500 Index member. Learn more about us at RegencyCenters.com. 

 

 

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 key stakeholders and influence business decisions.