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Entry Level Data Analyst Intern Jobs in Chicago, IL

Dhalite Inc.

Entry level Data Analyst

Chicago, IL · On-site

Job Summary We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills ...

tms

Procurement Analyst Intern

Chicago, IL · On-site

$20/hr

The team this intern will report to is a group of "team first" problem solvers responsible for ... Supplier & Master Data Management * Maintain supplier master data: contacts, locations ...

tms

Procurement Analyst Intern

Chicago, IL · On-site

$20/hr

The team this intern will report to is a group of "team first" problem solvers responsible for ... Supplier & Master Data Management * Maintain supplier master data: contacts, locations ...

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Entry Level Data Analyst Intern information

See Chicago, IL salary details

$12

$23

$43

How much do entry level data analyst intern jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for entry level data analyst intern 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 does an entry level data analyst intern do?

An Entry Level Data Analyst Intern assists with collecting, cleaning, and analyzing data to help organizations make informed decisions. They typically work under the supervision of experienced data analysts, using tools like Excel, SQL, or Python to organize and visualize data. Interns may also help prepare reports and presentations, gaining hands-on experience with real-world datasets and learning essential analytical skills.

What are the key skills and qualifications needed to thrive as an entry level data analyst intern?

To thrive as an Entry Level Data Analyst Intern, you need foundational skills in statistics, data interpretation, and proficiency in Microsoft Excel, often supported by coursework or a degree in mathematics, statistics, or a related field. Familiarity with data visualization tools like Tableau, programming languages such as Python or R, and basic knowledge of SQL databases are commonly expected. Strong analytical thinking, attention to detail, and effective communication help you deliver clear insights and collaborate with team members. These skills ensure you can accurately gather, analyze, and present data to support decision-making within an organization.

What types of projects and tasks can I expect to work on as an entry level data analyst intern?

As an Entry Level Data Analyst Intern, you'll typically support the analytics team by cleaning and organizing raw data, assisting in generating reports, and creating basic visualizations using tools like Excel, Tableau, or Power BI. You may also help with data validation, conduct exploratory data analysis, and participate in team meetings to discuss findings. This hands-on experience will give you exposure to real-world datasets and allow you to collaborate closely with experienced analysts and business stakeholders, helping you build foundational skills for a data-driven career.

What is the difference between Entry Level Data Analyst Intern vs Data Analyst?

AspectEntry Level Data Analyst InternData Analyst
Required CredentialsTypically pursuing or recent graduate with a degree in data science, statistics, or related fieldBachelor's degree in data-related field; some roles prefer or require additional certifications or experience
Work EnvironmentInternship setting, often part-time or temporary, in corporate or tech companiesFull-time professional role in various industries, including finance, healthcare, and tech
Employer & Industry UsageUsed by companies for entry-level training and talent pipelineEstablished role for analyzing data, generating reports, and supporting decision-making

The main difference is that an Entry Level Data Analyst Intern is a temporary, learning-focused position often held by students or recent graduates, while a Data Analyst is a full-time professional role requiring more experience and responsibility. Internships serve as a stepping stone into the data analysis career path, whereas Data Analysts are expected to independently handle data projects and contribute to organizational goals.

Entry Level Data Analyst Intern jobs near you

Entry level Data Analyst

Dhalite Inc.

Chicago, IL • On-site

Other

Posted 28 days ago

Job description

Note: Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Job Summary


We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills and experience working with large datasets, data visualization tools, and statistical techniques to identify trends, build predictive models, and generate actionable insights. This role requires collaboration with cross-functional teams to transform complex data into meaningful business strategies.

Key Responsibilities

  • Build and optimize data pipelines and ETL workflows for efficient data processing and integration.
    Analyze large datasets using Python, SQL, and statistical methods to identify patterns and trends.
    Create interactive dashboards and visual reports using Power BI, Tableau, or similar tools.
    Implement predictive forecasting and analytical models to support strategic decision-making.
    Automate data workflows and reporting processes to improve operational efficiency.
    Ensure data quality, accuracy, and integrity through validation and monitoring frameworks.
    Perform root cause analysis on performance and operational issues using data insights.
    Work with cross-functional teams to gather requirements and translate data into actionable insights.
    Maintain documentation of data processes, models, and reporting systems.
    Develop and maintain data models and analytical solutions to improve business insights and predictive accuracy.

Required Qualification

  • Bachelor s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field.
    Strong knowledge of data analysis, statistical techniques, and data visualizations
    Experience working with databases and large datasets.
    Ability to interpret complex data and present insights clearly to stakeholders.
    Strong problem-solving and analytical thinking skills.

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