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Internship Football Data Analyst Jobs in Georgia

Create SQL queries to retrieve, validate, and analyze business data. * Assist with Microsoft Fabric ... Academic, internship, personal, or professional projects using Power BI. * Basic understanding of ...

Create SQL queries to retrieve, validate, and analyze business data.Assist with Microsoft Fabric ... PREFERRED QUALIFICATIONSAcademic, internship, personal, or professional projects using Power BI.

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 ...

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Data Scientist

Atlanta, GA · On-site

$95 - $110/hr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

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Internship Football Data Analyst information

What does an internship football data analyst do?

An Internship Football Data Analyst assists in collecting, processing, and analyzing football-related data to help coaches, scouts, and management make informed decisions. They work with tools like Excel, SQL, and specialized sports analytics software to create reports and visualize performance trends. Interns may also help track player statistics, review match footage, and contribute to tactical analysis. This role provides hands-on experience in sports analytics and is a valuable stepping stone for a career in football data analysis.

What are the key skills and qualifications needed to thrive as an internship football data analyst?

To thrive as an Internship Football Data Analyst, you need a solid understanding of statistics, football tactics, and data analysis, often supported by coursework or a degree in fields like statistics, sports science, or data analytics. Familiarity with tools such as Excel, Python, R, and football analytics platforms like Wyscout or Opta is typically expected. Strong attention to detail, problem-solving abilities, and effective communication help you interpret data insights and present findings to coaches or management. These skills are vital to providing actionable insights that can enhance team performance and strategic decision-making.

What job categories do people searching Internship Football Data Analyst jobs in Georgia look for?

The top searched job categories for Internship Football Data Analyst jobs in Georgia are:

What cities in Georgia are hiring for Internship Football Data Analyst jobs?

Cities in Georgia with the most Internship Football Data Analyst job openings:

Infographic showing various Internship Football Data Analyst job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.


Job description

BUSINESS INTELLIGENCE ANALYST

ABOUT OLÉ MEXICAN FOODS

Olé Mexican Foods is one of the largest tortilla manufacturers in the United States, serving retail and foodservice customers nationwide for more than 35 years. Headquartered in Norcross, Georgia, Olé continues to grow through innovation, operational excellence, and data-driven decision-making.

Our Enterprise Technology & Analytics department supports manufacturing, distribution, sales, warehouse operations, and executive leadership by delivering modern Business Intelligence solutions using Microsoft's analytics platform.

POSITION SUMMARY

Olé Mexican Foods is seeking a motivated BUSINESS INTELLIGENCE ANALYST to join our Business Intelligence team.

This position is ideal for an early-career professional who enjoys solving business problems with data and wants to build a career in Data Analyst and Analytics. The successful candidate will assist in developing reports, dashboards, and analytical solutions using Microsoft Power BI while gaining hands-on experience with Microsoft Fabric and enterprise data platforms.

This position will work closely with the Business Intelligence team to support reporting, analytics, and continuous improvement initiatives across the organization.

This role provides an excellent opportunity to work with real-world manufacturing, supply chain, logistics, and sales data while learning from experienced Business Intelligence professionals.

Reports To: Business Intelligence Supervisor

Department: Enterprise Technology & Analytics

PRIMARY RESPONSIBILITIES

  • Develop and maintain Power BI dashboards and reports.
  • Support the design, enhancement, and maintenance of business reporting solutions.
  • Create SQL queries to retrieve, validate, and analyze business data.
  • Assist with Microsoft Fabric datasets, semantic models, and reporting solutions.
  • Validate data accuracy and investigate data quality issues.
  • Build meaningful visualizations that help business leaders make informed decisions.
  • Gather reporting requirements from business users and translate them into reporting solutions.
  • Document reports, datasets, and business processes.
  • Troubleshoot existing reports and assist with ongoing enhancements.
  • Participate in Business Intelligence and analytics projects across multiple departments.

REQUIRED QUALIFICATIONS

Education

  • Associate or bachelor's degree in business Analytics, Information Systems, Computer Science, Data Analytics, Engineering, Mathematics, or a related field.
  • Equivalent practical experience will also be considered.

Technical Skills

  • Working knowledge of Microsoft Power BI.
  • Basic to intermediate SQL skills.
  • Strong Microsoft Excel skills.
  • Understanding of data analysis concepts.
  • Familiarity with Power Query is preferred.
  • Exposure to Microsoft Fabric is preferred but not required.

Professional Skills

  • Strong analytical and problem-solving abilities.
  • Excellent attention to detail.
  • Strong written and verbal communication skills.
  • Ability to learn new technologies quickly.
  • Ability to work both independently and as part of a collaborative team.
  • Strong organizational and time-management skills.

PREFERRED QUALIFICATIONS

  • Academic, internship, personal, or professional projects using Power BI.
  • Basic understanding of DAX.
  • Familiarity with relational databases.
  • Exposure to Microsoft Fabric, Azure, or other cloud analytics platforms.
  • Knowledge of Git or version control is a plus.
  • Experience in manufacturing, distribution, logistics, ERP, or supply chain environments is a plus.

WHAT WILL MAKE YOU SUCCESSFUL

  • You enjoy solving business problems using data.
  • You are naturally curious and eager to learn new technologies.
  • You take ownership of your work and pay close attention to detail.
  • You communicate effectively with both technical and business users.
  • You continuously look for opportunities to improve reports, processes, and business insights.
  • You are excited to grow your career in Business Intelligence, Analytics, and Microsoft Fabric.

WHY JOIN OLÉ MEXICAN FOODS

  • Work with enterprise-scale manufacturing, distribution, and sales data.
  • Gain hands-on experience with Microsoft Power BI and Microsoft Fabric.
  • Learn from experienced Business Intelligence professionals.
  • Build solutions that directly support business operations across the United States.
  • Enjoy opportunities for professional growth into Business Intelligence, Analytics, and Data Engineering.

IDEAL CANDIDATE

We are looking for someone with a strong analytical foundation and a willingness to learn. Whether your experience comes from school, internships, certifications, personal projects, or early professional experience, we value curiosity, initiative, problem-solving ability, and the desire to build a long-term career in Business Intelligence.

Candidates are encouraged to include examples of Power BI dashboards, reports, GitHub repositories, Microsoft Learn projects, or other analytics work that demonstrates their technical abilities. Academic and personal projects are welcome and will be considered during the evaluation process.