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Data Analyst Intern Jobs in Champaign, IL (NOW HIRING)

Wolf Soccer Club

Remote Data Analyst

Champaign, IL · On-site

Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team performance, and support long-term strategic growth. Role Description The Remote Data Analyst at Wolf ...

Applied Pavement Technology

Intern

Champaign, IL · On-site

$21 - $23/hr

Job Title Intern Job Type Internship Education Some College Coursework Completed Location Champaign ... Engineering Interns support Civil engineers in facilitating field data collection activities ...

CIT Trucks

Truck Sales Intern

Champaign, IL · On-site

$16 - $17.75/hr

Responsibilities of a Truck Sales Intern entail: * Conducting regular sales calls ranging from ... Assisting customers in selecting/ordering trucks by asking key questions and analyzing responses to ...

Brunswick

Software Engineering Intern

Champaign, IL · On-site

$18 - $27/hr

Current enrollment in a BS in Computer Science, Data Science, Statistics, Computer Engineering, and ... As a co-op or intern, you will receive feedback and performance reviews throughout your assignment.

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All JobsData Analyst Intern JobsData Analyst Intern Jobs in Champaign, IL

Data Analyst Intern information

See Champaign, IL salary details

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How much do data analyst intern jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for data analyst intern in Champaign, IL is $22.54, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $24.57 per hour, depending on experience, location, and employer.

What does a data analyst intern do?

A Data Analyst Intern supports data analysis projects by collecting, cleaning, and organizing data. They use tools like Excel, SQL, or Python to analyze datasets and help generate reports or visualizations for business insights. Interns often work under supervision, assisting with ongoing projects and learning industry best practices, which helps them gain valuable experience in data analytics and business intelligence.

What types of projects and tasks can a data analyst intern expect to work on during their internship?

As a Data Analyst Intern, you can expect to work on a variety of projects such as cleaning and organizing datasets, creating data visualizations, and supporting the analysis of business trends. You'll often be asked to assist in preparing reports, updating dashboards, and collaborating with team members from departments like marketing, finance, or product management. This hands-on experience provides exposure to real-world data challenges and the opportunity to develop technical skills using tools like Excel, SQL, or Python, while also learning how data-driven decisions are made within the organization.

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

To thrive as a Data Analyst Intern, you need a solid understanding of statistics, data analysis, and proficiency in Excel or similar spreadsheet tools, often supported by coursework in data science or related fields. Familiarity with data visualization software like Tableau, and programming languages such as SQL or Python, is commonly expected. Strong attention to detail, problem-solving skills, and the ability to communicate findings clearly are standout soft skills for this role. These skills enable interns to extract actionable insights from data, support decision-making, and contribute meaningfully to business objectives.

What is the difference between Data Analyst Intern vs Data Scientist Intern?

AspectData Analyst InternData Scientist Intern
Required CredentialsTypically pursuing or recent graduate in data-related fields; basic knowledge of SQL, Excel, and data visualizationOften pursuing or recent graduate in data science or related fields; knowledge of programming (Python, R), machine learning, and statistical modeling
Work EnvironmentEntry-level, supporting data analysis tasks, reporting, and visualizationMore advanced projects involving predictive modeling, algorithms, and complex data analysis
Employer & Industry UsageCommon in tech, finance, marketing, and consulting firmsFound in tech, research, and analytics-driven industries

The main difference between a Data Analyst Intern and a Data Scientist Intern lies in the complexity of tasks and required skills. Data Analyst Interns focus on data cleaning, visualization, and reporting, while Data Scientist Interns handle advanced modeling and machine learning. Both roles are valuable entry points into data careers, with the Data Scientist Intern position typically requiring more technical expertise.

Is a data analyst internship worth it?

A data analyst internship provides practical experience with data analysis tools like Excel, SQL, and visualization software, which can enhance employability and skill development. It offers exposure to real-world projects and networking opportunities, making it valuable for those pursuing a career in data analysis.

What are the most commonly searched types of Data Analyst jobs in Champaign, IL?

The most popular types of Data Analyst jobs in Champaign, IL are:

What are popular job titles related to Data Analyst Intern jobs in Champaign, IL?

For Data Analyst Intern jobs in Champaign, IL, the most frequently searched job titles are:

What job categories do people searching Data Analyst Intern jobs in Champaign, IL look for?

The top searched job categories for Data Analyst Intern jobs in Champaign, IL are:

What cities near Champaign, IL are hiring for Data Analyst Intern jobs?

Cities near Champaign, IL with the most Data Analyst Intern job openings:

Data Analyst Intern jobs near you
Infographic showing various Data Analyst Intern job openings in Champaign, IL as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $46,878 per year, or $22.5 per hour.

Remote Data Analyst

Wolf Soccer Club

Champaign, IL • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Company Description Wolf Soccer Club is a growing sports organization dedicated to fostering competitive performance and player development. Based in Naperville, IL, the club focuses on providing structured training, data-informed coaching, and a positive environment for athletes of varying skill levels. The organization values teamwork, discipline, and continuous improvement, both on and off the field. Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team performance, and support long-term strategic growth.
Role Description The Remote Data Analyst at Wolf Soccer Club is a full-time position responsible for collecting, cleaning, and analyzing soccer-related and organizational data to support coaching, operations, and strategic planning. On a day-to-day basis, this role will design and maintain data models, create reports and dashboards, and translate complex analyses into clear insights for staff and leadership. The Data Analyst will collaborate with coaches, administrators, and other stakeholders to identify key performance indicators, track trends, and recommend data-driven improvements. Although the role is focused on data tasks that can be performed remotely, this is an on-site role located in Naperville, IL, requiring regular presence at the club’s facilities for meetings, data collection, and collaboration.
Qualifications
  • Strong Analytical Skills and Data Analytics capabilities, with experience interpreting quantitative data to inform decisions.
  • Proficiency in Statistics, including descriptive and inferential methods relevant to performance and operational analysis.
  • Experience with Data Modeling to structure, organize, and maintain data for reporting and forecasting.
  • Effective Communication skills to present findings clearly to non-technical stakeholders and collaborate across teams.
  • Experience with data analysis tools (e.g., Excel, SQL, Python, R, or BI platforms such as Power BI or Tableau).
  • Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field, or equivalent practical experience.
  • Ability to work independently, manage multiple projects, and meet deadlines in a dynamic sports environment.
  • Interest or experience in sports analytics, particularly soccer, is highly beneficial.

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