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Internship Data Analytics Graduate Jobs in Chicago, IL

S. college / university graduate possessing 1-2 years of progressive and relevant work experience ... The salary range (or starting rate for interns and associates) for this role represents numerous ...

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S. college / university graduate possessing 1-2 years of progressive and relevant work experience ... The salary range (or starting rate for interns and associates) for this role represents numerous ...

New

Data Analyst Location: Chicago, IL Duration: Contract - 4 months Pay Range: $30/hr (W2) About ... Bachelor's degree preferred; fresh graduates with relevant internships considered. Role Details ...

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Internship Data Analytics Graduate information

See Chicago, IL salary details

$12

$23

$43

How much do internship data analytics graduate jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for internship data analytics graduate in Chicago, IL is $23.18, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $25.24 per hour, depending on experience, location, and employer.

What is an internship data analytics graduate?

An Internship Data Analytics Graduate is a recent graduate or current student who participates in a temporary position focused on analyzing and interpreting data to help organizations make informed decisions. This role typically involves working with data collection, cleaning, and visualization tools, as well as statistical analysis and reporting. Interns in data analytics often gain hands-on experience with software like Excel, SQL, Python, or R, and develop skills that prepare them for full-time roles in data analysis or related fields.

What types of projects and responsibilities can I expect during an internship data analytics graduate?

As a Data Analytics Graduate Intern, you’ll typically work on projects involving data collection, cleaning, and analysis to support business decisions. You may assist in building dashboards, generating reports, and collaborating with senior analysts and cross-functional teams to identify trends and present actionable insights. Expect to use tools like Excel, SQL, and Python or R, and to participate in team meetings where your findings may directly impact ongoing projects. This hands-on experience not only develops your technical skills but also gives you exposure to real-world business challenges and collaborative problem-solving.

What are the key skills and qualifications needed to thrive as an internship data analytics graduate, and why are they important?

To thrive as an Internship Data Analytics Graduate, you need a solid understanding of statistics, data analysis, and problem-solving, typically supported by coursework in mathematics, computer science, or related fields. Familiarity with data analytics tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau is commonly expected. Effective communication, attention to detail, and a willingness to learn help interns stand out in collaborative and fast-paced environments. These skills and qualities enable interns to extract meaningful insights from data, contribute to team projects, and support informed decision-making.

What is the difference between Internship Data Analytics Graduate vs Data Analyst?

AspectInternship Data Analytics GraduateData Analyst
Required CredentialsTypically pursuing or recently completed a degree in data analytics, statistics, or related fieldsBachelor's degree in data science, statistics, or related field; some roles prefer or require certifications
Work EnvironmentInternship setting, often part-time or temporary, focused on learning and support tasksFull-time professional role with independent project responsibilities
Employer & Industry UsageUsed by companies for entry-level training, often in tech, finance, or consulting sectorsEstablished role across industries like finance, healthcare, marketing, and technology

The main difference between an Internship Data Analytics Graduate and a Data Analyst is experience and responsibility level. Internships are designed for students or recent graduates gaining practical skills, while Data Analysts are full-time professionals handling complex data projects independently.

What are the most commonly searched types of Data Analytics Graduate jobs in Chicago, IL?

The most popular types of Data Analytics Graduate jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Internship Data Analytics Graduate jobs?

Cities near Chicago, IL with the most Internship Data Analytics Graduate job openings:

Infographic showing various Internship Data Analytics Graduate job openings in Chicago, IL as of August 2026, with employment types broken down into 10% Internship, 65% Full Time, 20% Part Time, and 5% Temporary. Highlights an 85% In-person, and 15% Hybrid job distribution, with an average salary of $48,220 per year, or $23.2 per hour.

Data Analytics Associate

RSM

Chicago, IL • On-site

$66K/yr

Full-time

Posted yesterday

New


Job description

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM.

The Data Analytics Associate develops and analyzes data requirements, integrates large data sets, and creates business intelligence frameworks to identify critical insights. They design real-time reporting and visual representations of KPIs, maintain technical specifications, and provide forecasting analysis to leaders, while continuously discovering new improvement opportunities.

Responsibilities:

  • Developing data and storage requirements, reporting, analytics, and delivery methods in data standards and metadata.
  • Develop, analyze, and evaluate data to create and maintain business intelligence frameworks.
  • Integrate and mine large data sets, connecting data from disparate sources to identify critical insights and pragmatic data solutions.
  • Maintain/update/create technical specifications (ex. data mapping, data flows, and dashboard content).
  • Develop real-time reporting for analyzing KPIs.
  • Design and create analysis and reports that include summaries, graphs, diagrams, and other visual representations in BI or excel.
  • Develop and maintain forecasting databases/tools and provide analysis to leaders on outcomes.
  • Discover and define new processes for improvement and opportunities.

Required Qualifications:

  • Bachelor’s degree or equivalent experience. Accounting or Finance major preferred.
  • Advanced Microsoft Office skills with exposure to Visual Basic
  • Ability to communicate effectively both verbally and written.
  • Ability to work autonomously and part of a team.
  • Effective organization and time management skills.
  • Solid understanding of developing data requirements.
  • Knowledge of Excel, Power BI, SQL, and understanding of concepts of database structures and data querying.

Preferred Qualifications:

  • Previous experience with SQL preferred.
  • Previous experience with a Business Intelligence (BI) tool preferred.
  • Previous experience analyzing data and predicting future outcomes preferred

At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits.

All applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender; sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the US uniformed service; US Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law.

Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800-274-3978 or send us an email at careers@rsmus.com.

RSM does not intend to hire entry level candidates who will require sponsorship now OR in the future (i.e. F-1 visa holders). If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate.

RSM will consider for employment qualified applicants with arrest or conviction records. For those living in California or applying to a position in California, please click here for additional information.

At RSM, an employee’s pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.

Compensation Range: $66,100 - $110,000

Individuals selected for this role will be eligible for a discretionary bonus based on firm and individual performance.