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Product Operations Intern Jobs in Michigan (NOW HIRING)

Saginaw Spirit

Internships

Saginaw, MI · On-site

$13.50 - $17.75/hr

Saginaw Spirit Game Day Operations Internship * Assists in the coordination and production of promotional entertainment, such as intermission activities, game day giveaways, and other guest services

Depatie Fluid Power Company

Engineering Intern

Portage, MI · On-site

$16 - $20.75/hr

We are not looking for someone who already knows everything about our products--we can teach ... Collaborate with cross-functional teams including Engineering, Manufacturing, Sales, and Operations

Depatie Fluid Power Company

Engineering Intern

Portage, MI

$16 - $20.75/hr

This is an excellent opportunity for a student looking to gain real-world experience in product ... Operations Learn industry best practices while contributing to meaningful engineering projects What ...

Depatie Fluid Power Company

Engineering Intern

Portage, MI

$16 - $20.75/hr

This is an excellent opportunity for a student looking to gain real-world experience in product ... Operations Learn industry best practices while contributing to meaningful engineering projects What ...

Depatie Fluid Power Company

Engineering Intern

Portage, MI · On-site

$16 - $20.75/hr

This is an excellent opportunity for a student looking to gain real-world experience in product ... Sales, and Operations • Learn industry best practices while contributing to meaningful ...

Whiterabbit.ai

Play a key role in architecting the algorithms and models that will power our products * Train on a ... Implemented custom operations/modules in a deep learning framework * Imagination, ambition, and ...

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Product Operations Intern information

What types of projects and cross-functional collaborations can a product operations intern expect during their internship?

As a Product Operations Intern, you can expect to work on diverse projects such as streamlining product launch processes, gathering and analyzing user feedback, and supporting the development of internal documentation. These projects often involve close collaboration with Product Managers, Engineers, Customer Support, and Marketing teams to ensure product goals are met efficiently. You'll gain hands-on experience in coordinating meetings, managing project timelines, and helping improve operational workflows, providing a strong foundation for a future career in product management or operations.

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

To succeed as a Product Operations Intern, you should possess strong analytical abilities, attention to detail, and a foundational understanding of product management concepts, often supported by coursework in business, technology, or related fields. Familiarity with project management tools (like Jira or Asana), data analysis platforms (such as Excel or Google Sheets), and basic knowledge of SQL or product analytics tools is beneficial. Excellent communication, adaptability, and strong organizational skills help you collaborate effectively with cross-functional teams and manage multiple tasks. These capabilities are essential for supporting product initiatives, ensuring operational efficiency, and driving continuous improvement.

What is the difference between Product Operations Intern vs Product Analyst?

AspectProduct Operations InternProduct Analyst
Required CredentialsTypically pursuing or recent graduate in Business, Marketing, or related fieldsBachelor's degree in Business, Data Analysis, or related fields; often with some experience
Work EnvironmentInternship setting, supporting product teams, assisting with operations tasksFull-time role, analyzing product data, and providing insights for decision-making
Employer & Industry UsageStartups, tech companies, e-commerce firmsTech companies, SaaS providers, product-focused organizations

The Product Operations Intern role focuses on supporting product teams with operational tasks and gaining industry experience, often suitable for students or recent graduates. In contrast, a Product Analyst involves analyzing product data to inform strategic decisions, requiring more experience and analytical skills. Both roles are common in tech and product-driven companies, but they differ in responsibilities and career progression.

What are the most commonly searched types of Product Operations jobs in Michigan?

The most popular types of Product Operations jobs in Michigan are:

What are popular job titles related to Product Operations Intern jobs in Michigan?

For Product Operations Intern jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Product Operations Intern jobs in Michigan look for?

The top searched job categories for Product Operations Intern jobs in Michigan are:

What cities in Michigan are hiring for Product Operations Intern jobs?

Cities in Michigan with the most Product Operations Intern job openings:

Product Operations Intern jobs near you
Infographic showing various Product Operations Intern job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Data Engineering Intern

East Penn Manufacturing - Deka Batteries

Ann Arbor, MI • On-site

$16.75 - $21.50/hr

Other

Posted 22 days ago

Job description

Get to know East Penn!
Navitas Systems LLC, a leader in comprehensive energy storage solutions, was formed in 2011 with the merger of MicroSun Innovative Energy Storage Solutions and MicroSun Electronics, and the acquisition of lithium battery company A123 Systems' Government Solutions Group. In 2019, East Penn Manufacturing, one of the world's leading battery manufacturers, acquired majority interest in Navitas Systems. In SEVEN remarkable decades, East Penn has grown from a one-room shop with a product line of five automotive batteries to one of the world's leading battery manufacturers with over 10,500 full-time employees, 515 product designs, operations around the world, and hundreds of awards for industry excellence.
At our Navitas facilities we engage in the research, design, development, and manufacture of advanced lithium cells and energy storage products and systems for both commercial customers and U.S. Government/military customers. We invest in our people, they are and always will be the heart of this company. Are you ready to join a family-owned enterprise committed to honoring the contributions of everyone? Then Navitas is the right place for you.
Overview
Navitas Systems is currently seeking a curious and technically strong Data Engineering Intern to join our BIS (Business Intelligence & Systems) team. The intern will help build and maintain the data pipelines, integrations, and warehouse infrastructure that power analytics, reporting, and decision-making across Navitas.
This is a hands-on opportunity to work directly with enterprise systems and contribute to the foundation of a modern data platform being built from the ground up. The intern will gain real-world experience in SQL development, ETL/ELT design, data modeling, and integration patterns in a fast-paced manufacturing environment.
Working hours will be scheduled around the intern's class schedule, but must be the same days and hours each week. The intern is expected to confirm their weekly schedule with their manager within two weeks of their start date.***Candidate must be lawful permanent resident or US Citizen and be able to work on site in Ann Arbor, MI
Responsibilities
  • Assist in designing, building, and maintaining ETL/ELT pipelines that move data from source systems (ERP, MES, CRM, SharePoint, Excel) into the central data warehouse.
  • Write, optimize, and troubleshoot SQL queries, stored procedures, and views against SQL Server databases.
  • Support the design and implementation of star schema models, data marts, and semantic layers that feed Power BI and downstream consumers.
  • Help connect and integrate enterprise systems (Expandable ERP, Ignition MES, Salesforce, Dayforce, Jira) into the central data platform.
  • Build and run validation checks to ensure accuracy, completeness, and consistency of data flowing through pipelines.
  • Contribute to scheduled jobs, refresh cadences, and automation efforts that reduce manual data movement and reporting overhead.
  • Assist in monitoring pipeline health, identifying failures, and resolving data issues in partnership with IT and BIS team members.
  • Document data sources, transformations, schemas, and lineage; contribute to data governance and metric standardization efforts.
  • Use Jira to manage work items and SharePoint to publish documentation; collaborate with BI developers, analysts, and business stakeholders.

Qualifications
Required
  • Currently pursuing a Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related field.
  • Must be a US Citizen or have a valid green card
  • Must be able to work on site at our Ann Arbor location
  • Strong working knowledge of SQL (joins, aggregations, subqueries, window functions) against relational databases.
  • Familiarity with SQL Server or comparable RDBMS (PostgreSQL, MySQL, Oracle).
  • Understanding of ETL/ELT concepts, data warehousing fundamentals, and relational data modeling.
  • Proficiency in at least one scripting language (Python preferred; PowerShell or similar acceptable).
  • Familiarity with Microsoft SharePoint for collaboration and documentation.
  • Familiarity with Jira (or similar work management tools) for tracking tasks and stories.
Preferred
  • Exposure to Power BI (semantic models, Power Query, DAX basics).
  • Familiarity with star schema / dimensional modeling (Kimball methodology).
  • Experience with Git and version control workflows.
  • Exposure to cloud data platforms (Azure, Fabric, OneLake, Databricks, Snowflake) or on-premises data lake/lakehouse concepts.
  • Familiarity with APIs, REST, JSON, and integration patterns between SaaS systems.
  • Exposure to MES, ERP, or manufacturing data environments.
  • Understanding of data governance, lineage, and metadata management concepts.
  • Coursework or projects involving data pipelines, distributed systems, or large-scale data processing.

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