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Statistical Analysis Intern Jobs in Naperville, IL

Optiver

Quantitative Research Intern PhD

Chicago, IL · On-site

$80K - $90K/yr

Using statistical models and machine learning to develop trading algorithms. * Leveraging big data technologies to analyze high-frequency trading strategies, market microstructure, and financial ...

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All JobsStatistical Analysis Intern JobsStatistical Analysis Intern Jobs in Naperville, IL

Statistical Analysis Intern information

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$10

$36

$66

How much do statistical analysis intern jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for statistical analysis intern in Naperville, IL is $36.09, according to ZipRecruiter salary data. Most workers in this role earn between $18.45 and $54.64 per hour, depending on experience, location, and employer.

What does a statistical analysis intern do?

A Statistical Analysis Intern assists with collecting, organizing, and analyzing data to support business or research objectives. They use statistical techniques to identify trends, patterns, and insights within datasets, often using software such as Excel, R, or Python. Interns may also help prepare reports, visualizations, and presentations based on their findings. This role provides practical experience in applying statistical methods and interpreting results under the guidance of experienced analysts or statisticians.

What are the key skills and qualifications needed to thrive as a statistical analysis intern?

To thrive as a Statistical Analysis Intern, you need a solid understanding of statistics, data analysis, and proficiency in mathematics, typically supported by coursework or a degree in a quantitative field. Familiarity with statistical software such as R, Python, or SAS, as well as experience with data visualization tools, is highly valuable. Strong attention to detail, critical thinking, and clear communication help interns interpret data effectively and share insights with teams. These skills and qualities are crucial for providing accurate analyses that drive informed business or research decisions.

What are some common challenges faced by statistical analysis interns during their internship?

Statistical Analysis Interns often encounter challenges such as learning to work with large, complex datasets and adapting to new statistical software or programming languages. They may also need to interpret ambiguous data or results and communicate their findings clearly to non-technical team members. Collaboration with experienced analysts and seeking feedback can help interns overcome these challenges and build practical skills for future roles.

Which internship is best for statistical analysis interns?

The best internship for statistical analysis interns typically involves roles at research organizations, data analytics firms, or corporate data departments that offer hands-on experience with statistical software like R or Python. Look for internships that provide exposure to real-world data projects, mentorship, and opportunities to develop skills in data cleaning, modeling, and visualization.

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Statistical Analysis Intern jobs near you
Infographic showing various Statistical Analysis Intern job openings in Naperville, IL as of July 2026, with employment types broken down into 82% Full Time, 14% Part Time, 2% Contract, and 2% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $75,065 per year, or $36.1 per hour.

Fall 2026 Intern, Analytics

Excel Sports Management

Chicago, IL • Hybrid

$17.05/hr

Full-time, Internship

Posted 25 days ago

Job description

Our Intern program is a paid opportunity that allows participants to contribute to the organization's success while at the same time applying learnings from the classroom. This semester we will continue with a hybrid program and will offer each participant the opportunity to gain in-office experience for approximately 3-days a week. Interns are responsible for their individual transportation and housing needs.

Intern Expectations:

All Interns are expected to work 24-29.9 hours a week during the session. While each intern will be working with a specific division, they will have the opportunity to learn about other areas within Excel, through lunch and learns held throughout the semester.

Important Dates:

Our Fall Program runs from Monday, September 14th, 2026 through Thursday, December 10th, 2026.

Office Hours: 

  • 9:00 am6:00 PM CT, Monday-Friday OR as agreed upon with advisor. Days in office must be coordinated with Advisor's schedules.

Our Interns must:

  • Be available to work under 30 hours per week.
  • Be available to report to the Chicago office approximately 3-days a week.
  • Have a senior standing in college (must have completed your junior year of undergrad)

OR

  • Be enrolled in a graduate school

OR

  • Have a bachelor's or postgraduate degree.

Interview Process: 

  • Applications will close on August 14th, 2026
  • If selected, the expectation is that offers will be extended mid to late August.
  • The program will begin on September 14th, 2026.

Divisions Role Objectives and Expectations:

As an Excel Analytics associate, you will contribute to the evaluation and analysis of sports sponsorship opportunities and assist in determining the value and impact of sponsorships within the sports industry. This internship provides a unique opportunity to gain practical experience in sports analytics, specifically focusing on the valuation of sponsorships and partnerships. You will work closely with a team of professionals passionate about optimizing sponsorship strategies and maximizing return on investment for organizations and its partners.

Some responsibilities include:

  • Database Creation and Management
  • Data Collection and Analysis
  • Market Research
  • Partnership Support and Evaluation
  • AI Automation and Agentic Workflow Management
  • Cross-Functional Collaboration

Qualifications:

  • Currently pursuing a bachelor's or master's degree in statistical/quantitative analysis, business analytics, information systems, business, finance, economics, sports management, or a related field. Recent graduates may also be considered.
  • Strong analytical skills with a passion for utilizing data to drive business decisions and financial evaluations.
  • Proficiency with Excel
  • Familiarity with database structures and querying syntax e.g.SQL, with working knowledge of Python, R, and GenAI a plus
  • Excellent verbal and written communication skills, with the ability to present complex information in a clear and concise manner.
  • Strong attention to detail and ability to manage multiple tasks in a fast-paced environment.
  • Experience or interest in database management and data organization.
  • Passion for sports and a basic understanding of the sports industry and sponsorship landscape is preferred.
  • Prior experience or coursework in sports analytics, sponsorship valuation, or related fields is a plus.

The pay for this position is: $17.05 per hour. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the California and New York City Salary Transparency Law.

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