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Analytics Engineer Intern Jobs in Naperville, IL

Hendrickson USA, LLC

AI Intern

Woodridge, IL · On-site

This role provides hands-on experience with applied AI development, backend Application Programming ... Strong analytical, communication, and problem-solving skills, with the ability to collaborate ...

IMC

Hardware Engineer Intern - Summer 2027

Chicago, IL · On-site

$200K/yr

Strong analytical skills and interest in solving complex problems programmatically * Desire to ... engineers, traders, and business operations professionals are united by our uniquely collaborative ...

IMC

Hardware Engineer Intern - Summer 2027

Chicago, IL · On-site

$200K/yr

Our 10-week internship is your chance to experience life as a Hardware Engineer at IMC. You'll have ... Strong analytical skills and interest in solving complex problems programmatically * Desire to ...

IMC

Hardware Engineer Intern - Summer 2027

Chicago, IL · On-site

$200K/yr

Strong analytical skills and interest in solving complex problems programmatically * Desire to ... engineers, traders, and business operations professionals are united by our uniquely collaborative ...

IMC

Software Engineer Intern - Summer 2027

Chicago, IL · On-site

$200K/yr

Strong analytical skills and interest in solving complex problems programmatically * Desire to ... engineers, traders, and business operations professionals are united by our uniquely collaborative ...

IMC

Software Engineer Intern - Summer 2027

Chicago, IL · On-site

$200K/yr

Strong analytical skills and interest in solving complex problems programmatically * Desire to ... engineers, traders, and business operations professionals are united by our uniquely collaborative ...

IMC

Software Engineer Intern - Summer 2027

Chicago, IL

$200K/yr

Our 10-week internship is your chance to experience life as a Software Engineer at IMC. You'll have ... Strong analytical skills and interest in solving complex problems programmatically * Desire to ...

Vista Robotics

Software QA Intern

Chicago, IL · On-site

$19.75 - $26/hr

We are looking for a Software QA Intern to join Vista Robotics, a leading company in the field of ... analyze results * Identify and report software defects * Collaborate with software developers to ...

Vista Robotics

Software QA Intern

Joliet, IL · On-site

$18.75 - $24.50/hr

We are looking for a Software QA Intern to join Vista Robotics, a leading company in the field of ... analyze results * Identify and report software defects * Collaborate with software developers to ...

Vista Robotics

Software QA Intern

Aurora, IL · On-site

$18.25 - $24/hr

We are looking for a Software QA Intern to join Vista Robotics, a leading company in the field of ... analyze results * Identify and report software defects * Collaborate with software developers to ...

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All JobsAnalytics Engineer Intern JobsAnalytics Engineer Intern Jobs in Naperville, IL

Analytics Engineer Intern information

See Naperville, IL salary details

$11

$19

$29

How much do analytics engineer intern jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for analytics engineer intern in Naperville, IL is $19.29, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $20.87 per hour, depending on experience, location, and employer.

What does an analytics engineer intern do?

An Analytics Engineer Intern supports the data team by building and maintaining analytics infrastructure, such as data pipelines and dashboards. They work with both raw data and business teams to ensure data is accessible, clean, and ready for analysis. Typical responsibilities include writing SQL queries, developing data models, and collaborating with data analysts and engineers to deliver insights. The role provides hands-on experience with data tools and real-world business problems, serving as a bridge between engineering and analytics. This helps organizations make data-driven decisions more efficiently.

What are the key skills and qualifications needed to thrive as an analytics engineer intern?

To thrive as an Analytics Engineer Intern, you need a solid understanding of data analysis, SQL, and foundational programming concepts, often supported by coursework in computer science, statistics, or a related field. Familiarity with data warehousing tools such as dbt, cloud platforms like Snowflake or BigQuery, and visualization tools like Tableau or Looker is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate insights clearly will help you stand out in this role. These skills and qualities are vital for transforming raw data into actionable insights and ensuring data-driven decision-making within organizations.

What is the difference between Analytics Engineer Intern vs Data Analyst Intern?

AspectAnalytics Engineer InternData Analyst Intern
Required skillsSQL, data modeling, basic scripting, cloud platformsExcel, SQL, data visualization, statistical analysis
Work environmentCollaborates with data engineering and analytics teams, often in tech or data-driven companiesWorks with business teams to interpret data, often in various industries
Typical tasksBuilding data pipelines, optimizing data workflows, supporting analytics infrastructureAnalyzing datasets, creating reports, visualizations, and insights

In summary, Analytics Engineer Interns focus on developing and maintaining data infrastructure and pipelines, often requiring technical skills like SQL and scripting. Data Analyst Interns primarily interpret data through analysis and visualization to support business decisions. Both roles are essential in data-driven organizations but differ in technical depth and focus.

How does an analytics engineer intern typically collaborate with data scientists and business analysts during a project?

As an Analytics Engineer Intern, you’ll often serve as the crucial link between raw data and actionable insights. You’ll work closely with data scientists to ensure datasets are properly structured, clean, and optimized for modeling, while also partnering with business analysts to translate their requirements into clear data models and visualizations. Successful collaboration involves regular meetings, iterative feedback, and clear documentation so that everyone can leverage the data effectively. This cross-functional teamwork not only enhances your technical skills but also helps you develop a deeper understanding of how analytics drives business decisions.
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Analytics Engineer Intern jobs near you

AI Intern

Hendrickson USA, LLC

Woodridge, IL • On-site

Full-time

Re-posted 5 days ago

Hendrickson rating

7.2

Company rating: 7.2 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

320th of 487 rated machine equipment manufacturers

Job description

Position Purpose:
The Artificial Intelligence (AI) IT Intern assists with the design, development, and deployment of enterprise-grade artificial intelligence solutions, with a focus on Generative AI, Retrieval-Augmented Generation (RAG), and agentic AI workflows. This role provides hands-on experience with applied AI development, backend Application Programming Interface (API) development, cloud deployment, and enterprise data integration.
Essential Functions:
  • Assist in the design, development, testing, and deployment of AI-powered applications for enterprise use cases, including Generative AI solutions.
  • Assist in implementing LLM-based and agentic AI workflows using LangChain, LangGraph, and/or related design patterns.
  • Assist in developing, optimizing, and maintaining Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, parsing, extraction, indexing, and retrieval.
  • Co-build and co-maintain backend APIs and services using.
  • Learn to integrate AI applications with enterprise data platforms and systems, including Cosmos Database, structured query language (SQL) server, and internal applications.
  • Contribute to prompt engineering, evaluation, and response-quality improvement initiatives.
  • Help support cloud deployment, monitoring, and performance optimization of AI applications in Azure environments.
  • Participate in continuous integration (CI)/continuous delivery (CD) pipelines, version control, and release processes using Azure DevOps.
  • Collaborate with cross-functional teams to troubleshoot issues, improve performance, and enhance system scalability.
  • Document architectures, workflows, technical decisions, and implementation details to support maintainability and knowledge sharing.
  • Follow established security, compliance, and development standards and apply emerging AI and software engineering best practices.
  • Other duties as assigned.

Education and Training
  • Must be a current enrolled student or recent graduate in a computer science, AI, IT, or related technical program.
  • Must have a minimum grade point average (GPA) of 3.0 on a 4.0 scale.
  • Coursework or hands-on experience in software development or programming is essential.

Minimum Qualifications
  • Strong interest in applied AI and software development within an enterprise environment is necessary.
  • Strong foundation in Python programming, gained through coursework, projects, internships, and/or self-study is essential.
  • Basic understanding of backend development and APIs, including how services communicate, and exchange data is required.
  • Foundational knowledge of Generative AI concepts, including large language models (LLMs) and prompt engineering is crucial.
  • Exposure to databases, including relational databases and/or NoSQL databases is necessary.
  • Interest in cloud-native development and AI system deployment, preferably within Microsoft Azure or a comparable platform is required.
  • Basic exposure to development workflows, such as version control and CI/CD concepts is essential.
  • Strong analytical, communication, and problem-solving skills, with the ability to collaborate effectively in a team environment is required.
  • Demonstrated willingness to learn and adapt to new technologies and best practices are necessary.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristics protected by law.

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