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Analytics Engineer Intern Jobs in Cleveland, OH (NOW HIRING)

... Engineering, in the United States. * Intern must have reliable transportation to and from the ... Utilize critical thinking skills to analyze complex situations and develop strategic solutions.

New

... Engineering, in the United States. * Intern must have reliable transportation to and from the ... Utilize critical thinking skills to analyze complex situations and develop strategic solutions.

New

... Engineering, in the United States. * Intern must have reliable transportation to and from the ... Utilize critical thinking skills to analyze complex situations and develop strategic solutions.

New

Engineering Intern

Willoughby, OH · On-site

$15.50 - $20.25/hr

Description The Engineering Intern will play a key role in supporting the New Product Development ... Collect, analyze, and present engineering test data using Excel and graphical reporting tools to ...

Engineering Intern

Willoughby, OH

$15.50 - $20.25/hr

The Engineering Intern will play a key role in supporting the New Product Development team by ... Collect, analyze, and present engineering test data using Excel and graphical reporting tools to ...

Job Summary The Analytics Intern will support the enhancement and ongoing support of the Coil ... Work with tkMNA corporate IT Cloud and DevOps teams on API development, integration, and ...

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Analytics Engineer Intern information

See Cleveland, OH salary details

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How much do analytics engineer intern jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for analytics engineer intern in Cleveland, OH is $18.73, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $20.29 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.

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.

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.

What are the most commonly searched types of Analytics Engineer jobs in Cleveland, OH?

The most popular types of Analytics Engineer jobs in Cleveland, OH are:

What are popular job titles related to Analytics Engineer Intern jobs in Cleveland, OH?

For Analytics Engineer Intern jobs in Cleveland, OH, the most frequently searched job titles are:

What job categories do people searching Analytics Engineer Intern jobs in Cleveland, OH look for?

The top searched job categories for Analytics Engineer Intern jobs in Cleveland, OH are:

What cities near Cleveland, OH are hiring for Analytics Engineer Intern jobs?

Cities near Cleveland, OH with the most Analytics Engineer Intern job openings:

Infographic showing various Analytics Engineer Intern job openings in Cleveland, OH as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $38,962 per year, or $18.7 per hour.

AI Software Engineering Intern

Union Home Mortgage Corp.

Strongsville, OH • On-site

Other

Posted 13 days ago


Job description

Union Home Mortgage's L.E.A.D Internship Program's goal is to provide a fun, interesting, and real-world environment for our interns to Learn about the industry, be Educated by Sr. Leadership and their peers, Achieve their personal goals and Develop their skills and knowledge base. We pride ourselves in providing innovative programs to our interns for them to learn and grow as they progress through their careers. Some of the programs we offer include: shadowing, mentoring, professional development, group projects and we even take our interns on corporate outings! Our internship program gives students a chance to meet new people, gain more experience, and learn from the best in the business! Our interns are treated like full-time Partners who work 40 hours a week during the 3-month summer program, are compensated, and based out of headquarters in Strongsville, Ohio.
The AI Software Engineer Intern works as part of a software development team to design, develop, test, and maintain software solutions that meet business and product needs.
This role represents the evolution of the traditional Software Developer Intern. The team follows established software development practices including Agile delivery, requirements and user stories, source control, peer review, testing, deployment processes, and architectural standards. However, AI-assisted development is expected to be a fundamental part of how modern software engineering is performed.
Interns will learn how to use AI development tools throughout the software development lifecycle to generate and modify implementations, create tests, troubleshoot problems, understand unfamiliar code, develop documentation, and improve existing solutions. At the same time, interns will develop the software engineering fundamentals necessary to critically evaluate what AI produces and ensure resulting software meets established standards.
The internship provides hands-on experience with both professional software engineering practices and the emerging AI-native tools that are changing how modern software is developed.
Duties & Responsibilities
Duties and responsibilities include the following. Other duties may be assigned.
  • Design, develop, test, and maintain software solutions with guidance from experienced software engineers.
  • Use AI-assisted development tools throughout the software development lifecycle.
  • Translate product requirements, user stories, designs, and technical requirements into functional software.
  • Use AI tools to assist with generating implementations, tests, documentation, troubleshooting approaches, and refactoring.
  • Learn to critically review and validate AI-generated software rather than accepting generated solutions without evaluation.
  • Develop and maintain applications, APIs, integrations, services, and data solutions using established technology standards.
  • Create and maintain unit and integration tests.
  • Enhance, maintain, and troubleshoot existing applications.
  • Participate in source control, pull requests, peer reviews, and established CI/CD processes.
  • Work with Product Owners, UI/UX Designers, senior engineers, QA resources, and other team members throughout the development lifecycle.
  • Participate in Agile activities including planning, estimation, daily stand-ups, demonstrations, and retrospectives.
  • Troubleshoot defects and learn how to identify appropriate solutions.
  • Follow established architectural, security, performance, accessibility, and maintainability standards.
  • Explore emerging AI development capabilities and learn how they can be effectively incorporated into professional software engineering practices.

To perform this role successfully, an individual should demonstrate a strong interest in software engineering, foundational programming knowledge, problem-solving ability, and a desire to learn how AI is changing modern software development.
Skills Required
  • Passion for software development, technology, computer science, and AI.
  • Foundational understanding of programming and software development concepts.
  • Interest in AI-assisted software engineering and emerging development tools.
  • Ability and willingness to understand, evaluate, debug, and improve AI-generated code.
  • Strong analytical and problem-solving skills.
  • Familiarity with object-oriented programming concepts.
  • Interest in APIs, databases, web applications, cloud technologies, and modern application architecture.
  • Ability to learn and follow established coding, architecture, security, and engineering standards.
  • Self-motivated with strong written and verbal communication skills.
  • Willingness to work both independently and collaboratively.
  • Strong desire to learn and adapt as software engineering practices continue to evolve.

Education & Experience
  • Pursuing a 4-year college degree in Computer Science, Computer Engineering, Software Engineering, Information Technology, or a related field.
  • Completion of programming coursework or equivalent hands-on development experience.
  • Experience with an object-oriented programming language through coursework or personal projects.
  • Exposure to AI-assisted development tools is preferred but not required.
  • Personal software projects, coursework, hackathons, or other examples of hands-on development are a plus.

Applications are accepted on a rolling basis and positions are open until filled (this may be prior to the job posting expiration date).
At UHM, we understand diversity comes in many different forms. It's our commitment to improve inclusion in the workplace through programs and policies that establish a positive and inclusive environment where every Partner, regardless of their background, can grow and excel. We value diversity, educate on equity, and create inclusive partner opportunities to ensure that you know #UBelongAtUHM!
This employer participates in E-Verify. If hired, the employer will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Union Home Mortgage Corp. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.