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Data Analysis Intern Jobs in Mount Prospect, IL (NOW HIRING)

Cccis

R&D & Data Science Internship Fall 2026

Chicago, IL

$20 - $43/hr

  • Medical

  • Retirement

  • PTO

... analytical and problem-solving skills, capable of independent research and recommendations. Experience in software development with proficiency in programming languages such as Python, Java, or ...

GEA Group

Hygiene Plant Intern

Romeoville, IL · On-site

$15 - $20/hr

The intern will work closely with various departments to ensure operational efficiency and ... Data Analysis: Collect (time studies), analyze, and interpret data to identify trends and make ...

GEA Group

Hygiene Plant Intern

Romeoville, IL · On-site

$20/hr

The intern will work closely with various departments to ensure operational efficiency and ... Data Analysis: Collect (time studies), analyze, and interpret data to identify trends and make ...

GEA

Hygiene Plant Intern

Romeoville, IL · On-site

$15 - $20/hr

The intern will work closely with various departments to ensure operational efficiency and ... Data Analysis: Collect (time studies), analyze, and interpret data to identify trends and make ...

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All JobsData Analysis Intern JobsData Analysis Intern Jobs in Mount Prospect, IL

Data Analysis Intern information

See Mount Prospect, IL salary details

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How much do data analysis intern jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for data analysis intern in Mount Prospect, IL is $22.36, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $24.38 per hour, depending on experience, location, and employer.

What does a data analysis intern do?

A data analysis intern supports a data analyst while obtaining valuable practical experience to pursue a position in the field. Your responsibilities in this position include delivering data, formatting information, querying databases for sales, marketing, accounting, and other departments, developing and updating reports, and assisting with projects when needed. Your duties also include evaluating analysis systems, collaborating with other teams, responding to requests for analysis, and investigating data discrepancies. You collect information and review the model to offer recommendations.

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

To thrive as a Data Analysis Intern, you should have a solid understanding of statistics, data management, and analytical thinking, often supported by coursework in mathematics, statistics, or a related field. Familiarity with tools like Excel, SQL, Python, or R, as well as data visualization platforms such as Tableau or Power BI, is typically expected. Attention to detail, problem-solving abilities, and effective communication help interns interpret data accurately and present insights clearly. These skills are vital for transforming raw data into actionable insights that support business decision-making.

What are some common challenges faced by data analysis interns during their internship, and how can they overcome them?

Data Analysis Interns often encounter challenges such as working with large, unstructured datasets and learning to use new analysis tools or programming languages. Navigating ambiguous project requirements and balancing multiple deadlines can also be difficult. To overcome these obstacles, interns are encouraged to proactively communicate with their mentors, seek feedback regularly, and make use of available resources such as online tutorials or internal documentation. Collaborating with teammates and asking questions fosters learning and helps interns efficiently resolve roadblocks.

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

AspectData Analysis InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time role, more independent responsibilities
Employer & Industry UsageInternships in various industries, educational focusEstablished roles in finance, tech, healthcare, etc.
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill requirements

The main difference between a Data Analysis Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are usually students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling more complex tasks independently. Internships serve as stepping stones toward becoming a full Data Analyst.

Is a data analysis intern internship worth it?

A data analysis intern internship provides practical experience with tools like Excel, SQL, and Python, and helps develop skills in data visualization and reporting. It can enhance a resume, improve job prospects, and offer networking opportunities, making it a valuable step for those pursuing a career in data analysis.
More about Data Analysis Intern jobs

What are the most commonly searched types of Data Analysis jobs in Mount Prospect, IL?

The most popular types of Data Analysis jobs in Mount Prospect, IL are:

What job categories do people searching Data Analysis Intern jobs in Mount Prospect, IL look for?

The top searched job categories for Data Analysis Intern jobs in Mount Prospect, IL are:

What cities near Mount Prospect, IL are hiring for Data Analysis Intern jobs?

Cities near Mount Prospect, IL with the most Data Analysis Intern job openings:

Data Analysis Intern jobs near you
Infographic showing various Data Analysis Intern job openings in Mount Prospect, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $46,504 per year, or $22.4 per hour.

Backend / Frontend Developer Intern

Prospect Equities

Chicago, IL • On-site

$19.75 - $26/hr

Internship

Re-posted 23 days ago

Job description

1. Frontend Developer Intern:
We are seeking a motivated and detail-oriented Frontend Developer Intern to join our technology team in building responsive, user-friendly public websites and web applications. In this role, you will focus on crafting intuitive and performant user interfaces using JavaScript / TypeScript and React, while collaborating closely with backend engineers to integrate APIs and deliver seamless user experiences. This internship offers hands-on exposure to modern frontend development practices and an opportunity to contribute to real-world, production-level applications. Key responsibilities include:
  • Build, enhance, and optimize frontend components using JavaScript / TypeScript and React to deliver smooth and responsive user experiences.
  • Collaborate with backend engineers to integrate RESTful APIs, ensuring reliable data flow between frontend and backend systems.
  • Participate in the design and refinement of user interfaces with an emphasis on performance, accessibility, and usability.
  • Identify, debug, and resolve frontend issues to continuously improve application quality and user experience.
  • Write and maintain frontend unit tests to ensure code reliability and stability across modern browsers.
  • Assist with the deployment and maintenance of frontend applications on AWS, supporting smooth releases and updates.

2. Backend Developer Intern:
We are seeking a motivated and detail-oriented Backend Developer Intern to join our technology team in building and maintaining robust, scalable software systems. In this role, you will collaborate closely with data and frontend engineers and contribute to the development of backend services that power real-world applications. Our technology stack includes Java and Spring Boot for backend services, PostgreSQL, MongoDB, and Elasticsearch for data storage and search, React with JavaScript for frontend applications, and AWS for cloud deployment. This internship is ideal for candidates who are passionate about software engineering and eager to gain hands-on experience working on production systems. Key Responsibilities include:
  • Assist in the development, enhancement, and maintenance of backend services using Java and Spring Boot.
  • Design, implement, and optimize database queries using PostgreSQL, MongoDB, and Elasticsearch.
  • Write and maintain unit tests using JUnit to ensure code quality, reliability, and maintainability.
  • Collaborate with the engineering team to deploy, monitor, and maintain backend systems on AWS.
  • Debug, troubleshoot, and optimize backend code to improve system performance and stability.
  • Participate in code reviews and contribute to discussions around system design and architecture.

3. Mobile Developer Intern:
We are seeking a motivated and detail-oriented Mobile Developer Intern to join our technology team and help build high-quality, cross-platform mobile applications using React Native and Expo. In this role, you will focus on developing intuitive, performant, and user-friendly mobile experiences for both iOS and Android platforms. You will collaborate closely with frontend and backend engineers to integrate RESTful APIs, implement new features, and ensure a seamless mobile user experience. Key responsibilities include:
  • Design, build, and maintain mobile application features using TypeScript and React Native.
  • Collaborate with backend engineers to integrate RESTful APIs, ensuring reliable and efficient data flow between mobile apps and backend systems.
  • Implement responsive and adaptive mobile UI components that provide a consistent experience across iOS and Android devices.
  • Identify, debug, and resolve mobile-specific issues related to performance, usability, and device compatibility.
  • Contribute to mobile unit testing and debugging to ensure code quality and application stability.
  • Assist in building and maintaining mobile deployment workflows, including app builds and environment configurations.
4. Data Analyst Intern:
We are seeking a motivated and analytical Data Analyst Intern who is passionate about data-driven problem solving and eager to transform data insights into meaningful business impact. In this role, you will work closely with our technology and business teams to analyze datasets, build analytical pipelines, and apply statistical and machine learning techniques to support real-world decision-making. Key responsibilities include:
  • Perform data cleaning, transformation, and validation using Python and SQL to ensure data accuracy and reliability.
  • Assist in building and maintaining data pipelines to support analytics, reporting, and modeling workflows.
  • Conduct exploratory data analysis (EDA) to identify trends, patterns, and actionable insights.
  • Support the develop, evaluate, and improve statistical and machine learning models to use in business decision-making.
  • Contribute to feature engineering and model performance tuning.
  • Create clear and concise reports, dashboards, and visualizations to communicate findings to technical and non-technical stakeholders.

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