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Internship Sports Analyst Jobs in Vernon Hills, IL

AEG

SponsorUniversity Regional Scout

Elk Grove Village, IL · On-site

$1.28K - $1.67K/wk

... sports teams, global brands, agencies, media companies, colleges, and vendors . Internship Overview ... Learn how to identify, analyze, and report sponsorship assets at venues. * All event tickets and ...

The Bradford Exchange

Marketing Intern

Niles, IL · On-site

$20/hr

... sports to bring unique and curated products to our customers across the globe. We are seeking ... Throughout your internship you will assist marketing managers in conducting quantitative analysis ...

Chicago Blackhawks

Intern, Human Resources

Chicago, IL · On-site

$20/hr

Analyze and improve HR processes using data and observations (i.e., onboarding workflow, tracking ... major league sports franchise. *The internship will culminate in a 10-minute presentation to ...

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Internship Sports Analyst information

What is an Internship Sports Analyst job?

An Internship Sports Analyst job involves analyzing sports data, researching trends, and providing insights to support teams, media, or analysts. Interns may assist in gathering statistics, creating reports, and using analytical tools to evaluate player and team performance. This role often requires proficiency in data analysis, familiarity with sports strategies, and strong communication skills. It provides valuable hands-on experience for those looking to enter the sports analytics field.

What are the key skills and qualifications needed to thrive in the Internship Sports Analyst position, and why are they important?

To thrive as an Internship Sports Analyst, you should have a solid understanding of sports statistics, data analysis, and possess or be pursuing a degree in sports management, statistics, or a related field. Familiarity with data analysis tools such as Microsoft Excel, Tableau, or sports analytics software is often expected, while relevant coursework or certifications are a plus. Strong communication skills, attention to detail, and the ability to work collaboratively set candidates apart. These skills are vital for interpreting complex data, presenting insights, and supporting teams in a fast-paced and evolving sports environment.

What types of projects or responsibilities can I expect as an Internship Sports Analyst?

As an Internship Sports Analyst, you can expect to work on projects such as collecting and organizing game statistics, assisting with player performance analysis, and preparing reports for coaches or senior analysts. Your day-to-day tasks may also include researching opponents, visualizing data trends, and supporting the team with pre- and post-game analysis. Interns often collaborate with other analysts, coaching staff, and sometimes athletes, gaining exposure to how data-driven insights inform decision-making in sports organizations. This hands-on experience provides a valuable introduction to the sports analytics field and may open doors to advanced roles in sports analysis or related disciplines.
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Quantitative Developer - New Graduate

Dime Line Trading

Chicago, IL

Full-time

Posted 9 days ago

Job description

What you'll do:
  • Contribute to the research, design, and implementation of predictive statistical and machine learning models.
  • Prototype and backtest models, monitor performance, and assist with optimizations.
  • Contribute to key feature development for model efficiency
  • Develop and maintain Python codebases in a Linux environment.
  • Help to design and implement new pricing models and frameworks
  • Support data pipeline and SQL database interactions for real-time models.
  • Assist in improving trading systems and operational tools.
  • Gain exposure to multiple sports, quantitative disciplines, and production engineering.
  • Other duties as assigned.
Skills you'll need:
  • Proficiency in Python (experience in R or other languages a plus).
  • Strong interest in statistical modeling, machine learning, or predictive analytics.
  • Familiarity with Linux and SQL databases.
  • Ability to work in a fast-paced environment and manage multiple tasks.
  • Interest in sports and sports analytics / sabermetrics.
  • Strong problem-solving and communication skills.
  • Predictable and reliable availability
It's great to see:
  • Coursework in statistics, optimization, computer science, or related fields.
  • Prior internship or project experience in trading, quantitative research, or software engineering.
  • Exposure to object-oriented development, real-time systems, or algorithmic trading models.
  • Experience with sports gambling, fantasy sports, or predictive analytics applied to sports.