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Internship Data Analytics Graduate Jobs in Chicago, IL

... in marketing, analytics, or digital media (highly successful internships count). * Bachelor ... A proven ability to look at rows of data and translate them into a clear, compelling narrative ...

... in marketing, analytics, or digital media (highly successful internships count). * Bachelor ... A proven ability to look at rows of data and translate them into a clear, compelling narrative ...

Showing results 21-40

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 8, 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 33% Internship, and 67% Full Time. Highlights an 100% In-person job distribution, with an average salary of $48,220 per year, or $23.2 per hour.

Client Partner/ Account Director - Analytics Consulting

Tiger Analytics Inc.

Chicago, IL • On-site, Remote

Full-time

Re-posted 10 days ago


Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. If you are passionate to work on unstructured business problems that can be solved using data and excited about building, leading, and enabling a team of analytics professionals toward that objective, we would like to talk to you.

Responsibilities:

  • Lead delivery, account management, client relationships, and drive account growth.
  • Leverage advanced data science and data engineering solutions to address complex business challenges for CPG and Retail clients.
  • Partner with business and data stakeholders to understand key priorities, define problem statements, and develop strategic analytics roadmaps, including identification and prioritization of high-impact use cases.
  • Collaborate with cross-functional teams of data scientists, data engineers, and analysts to define requirements and deliver high-quality, scalable solutions.
  • Drive measurable business impact by delivering solutions aligned to strategic, operational, and tactical objectives, and present outcomes to executive leadership.

Requirements

  • 15+ years of experience in the field of delivering advanced analytics-based consulting services to clients and experience in designing/implementing large data analytics or data engineering programs.
  • Experience managing large accounts and being actively involved in account growth would be an added advantage. P&L ownership in the past would also be an added advantage.
  • Ability to engage with VP / Director-level stakeholders from the client's team, including data leads, and with internal remote teams to define business problems and collaborate on solution approaches.
  • Knowledge of domains like Retail & CPG will be highly preferred.
  • Experience as a hands-on contributor or in leading a team on price & promotion optimisation programs is a plus.
  • Excellent communication (written and verbal) and presentation skills.
  • Ability to work with global teams, communicating client business problem context to the remote teams and leveraging them effectively in execution, while owning client presentation, project management and expectation setting.
  • Working from client offices in Chicago, IL 3 days a week. Open to travel for onboarding to India.
  • Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes.
  • Experience with analytic tools such as R, Python, AWS, Databricks, and exposure to cloud platforms and big data systems is an advantage.
  • Graduate in Business Analytics or MBA or equivalent work experience.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.