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Statistical Analyst Intern Jobs in Chicago, IL (NOW HIRING)

DRW

Quantitative Trading Analyst Intern

Chicago, IL · On-site

$250K/yr

As a Quantitative Trading Analyst Intern , you will gain exposure to the dynamic worlds of trading ... Are pursuing a bachelor's, master's or PhD in mathematics, economics, physics, statistics, computer ...

Reli Group Inc

Power BI Intern

Aurora, IL

$15/hr

Knowledge of statistical analysis or data modeling preferred * *MUST reside in a HUBZone. Please check your eligibility on HUBZone Map (sba.gov). EEO Employer: RELI Group is an Equal Employment ...

Reli Group Inc

Power BI Intern

Chicago, IL · On-site

$15/hr

Knowledge of statistical analysis or data modeling preferred * *MUST reside in a HUBZone. Please check your eligibility on HUBZone Map (sba.gov). EEO Employer: RELI Group is an Equal Employment ...

Reli Group Inc

Power BI Intern

Hammond, IN · On-site

$15/hr

Knowledge of statistical analysis or data modeling preferred * *MUST reside in a HUBZone. Please check your eligibility on HUBZone Map (sba.gov). EEO Employer: RELI Group is an Equal Employment ...

Reli Group Inc

Power BI Intern

Gary, IN · On-site

$15/hr

Knowledge of statistical analysis or data modeling preferred * *MUST reside in a HUBZone. Please check your eligibility on HUBZone Map (sba.gov). EEO Employer: RELI Group is an Equal Employment ...

Reli Group Inc

Power BI Intern

Aurora, IL · On-site

$15/hr

Knowledge of statistical analysis or data modeling preferred * *MUST reside in a HUBZone. Please check your eligibility on HUBZone Map (sba.gov). EEO Employer: RELI Group is an Equal Employment ...

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All JobsStatistical Analyst Intern JobsStatistical Analyst Intern Jobs in Chicago, IL

Statistical Analyst Intern information

Which internship is best for statistical analyst interns?

The best internship for statistical analyst interns typically offers hands-on experience with data analysis, statistical software, and programming languages like R or Python. Look for programs that provide mentorship, real-world projects, and opportunities to develop skills in data modeling and visualization.

What are the key skills and qualifications needed to thrive as a statistical analyst intern?

To thrive as a Statistical Analyst Intern, you need a solid understanding of statistics, data analysis, and a background in mathematics or a related field, often demonstrated through relevant coursework or a degree in progress. Familiarity with statistical software such as R, SAS, SPSS, or Python, and proficiency in Excel are typically required. Attention to detail, problem-solving abilities, and strong communication skills help you interpret data accurately and share insights effectively. These skills are vital for producing reliable analyses that inform business decisions and support organizational goals.

What types of projects and data sets do statistical analyst interns typically work with during their internship?

Statistical Analyst Interns often engage with diverse projects ranging from market research analysis to operational data studies, depending on the industry. They commonly work with large data sets such as sales figures, customer behavior logs, or experimental results, applying statistical methods to uncover trends and insights. Interns usually collaborate closely with full-time analysts, data scientists, and cross-functional teams to support ongoing initiatives and may have opportunities to present findings to stakeholders. This hands-on experience helps interns develop technical skills and gain exposure to real-world applications of statistical analysis.

What does a statistical analyst intern do?

A Statistical Analyst Intern assists with collecting, analyzing, and interpreting data to help organizations make informed decisions. Their tasks typically include preparing datasets, running statistical tests, and creating reports or visualizations to communicate findings. Interns often use statistical software like R, SAS, or Python, and work under the supervision of experienced analysts or data scientists. This role helps interns gain practical experience in data analysis, problem-solving, and applying statistical methods to real-world problems.

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

AspectStatistical Analyst InternData Analyst Intern
Required CredentialsTypically pursuing or holding a degree in statistics, mathematics, or related fieldsUsually pursuing or holding a degree in data science, analytics, or related fields
Work EnvironmentInternships in finance, healthcare, or research organizations focusing on statistical analysisInternships in tech, marketing, or business sectors analyzing data sets
Employer & Industry UsageUsed by companies needing statistical modeling and hypothesis testingUsed by companies focusing on data visualization, reporting, and insights

The main difference between a Statistical Analyst Intern and a Data Analyst Intern lies in their focus areas. Statistical Analyst Interns primarily work on statistical modeling and hypothesis testing, often in research-heavy industries. Data Analyst Interns tend to focus on data collection, cleaning, and visualization to support business decisions. Both roles require similar educational backgrounds but differ in their specific tasks and industry applications.

What are the most commonly searched types of Statistical Analyst jobs in Chicago, IL? The most popular types of Statistical Analyst jobs in Chicago, IL are:
Statistical Analyst Intern jobs near you
Infographic showing various Statistical Analyst Intern job openings in Chicago, IL as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 8% Part Time, and 6% Contract. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution.

Backend / Frontend Developer Intern

Prospect Equities

Chicago, IL • On-site

$19.75 - $26/hr

Other

Re-posted 15 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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