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Analytics Engineer Intern Jobs in Michigan (NOW HIRING)

Overview We are seeking a detail-oriented and analytical Power BI & Analytics Intern to join our ... Engineering, Mathematics, Statistics, or a related field. * Must either be a US Citizen or have a ...

Engineering Intern

Troy, MI · On-site

$16 - $20.50/hr

... effect analysis, control plans, data collection and analysis, developing standardized work ... Work with respective engineer to advance his/her skill sets in preparation for schooling ...

Engineering Intern

Marysville, MI

$15.25 - $19.75/hr

Perform and document detailed analysis of warranty issues and other product failures. * Support the ... Your profile as an Engineering Intern: * Pursuing Bachelors Degree in Engineering or related field.

Showing results 21-40

Analytics Engineer Intern information

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 Michigan?

The most popular types of Analytics Engineer jobs in Michigan are:

What cities in Michigan are hiring for Analytics Engineer Intern jobs?

Cities in Michigan with the most Analytics Engineer Intern job openings:

Full-time, Internship

Re-posted 12 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
We are seeking a detail-oriented and analytical Power BI & Analytics Intern to join our BIS (Business Intelligence & Systems) team. The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports that provide key business insights to internal stakeholders across manufacturing, supply chain, finance, quality, and operations.
This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, ETL development, and real-world data problem solving in a fast-paced manufacturing environment. The intern will work directly with the BIS team and collaborate with leaders across the company to deliver solutions that drive measurable business impact.
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 and developing interactive Power BI dashboards, reports, and visualizations that surface key business metrics to internal stakeholders.
  • Clean, transform, and analyze large datasets from various sources including SQL Server, Excel, SharePoint lists, and other enterprise systems.
  • Collaborate with business units, IT, and BIS team members to gather requirements, clarify data needs, and deliver visualizations that drive decision-making.
  • Support the development of data models (star schema), DAX measures, and standardized business metrics aligned to the company scorecard and metric glossary.
  • Contribute to data pipelines, ETL processes, and automation efforts under guidance from senior BIS team members.
  • Perform data validation, reconciliation, and troubleshooting on existing reports to ensure accuracy and reliability.
  • Document datasets, transformations, business logic, and processes; contribute to best practices in dashboard design, data governance, and lineage tracking.
  • Use Jira to manage work items, track progress, and collaborate with the team; publish documentation and updates to SharePoint.

Qualifications
Required
  • Currently pursuing a Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, Engineering, Mathematics, Statistics, or a related field.
  • Must either be a US Citizen or have a valid green card
  • Working knowledge of Power BI (Desktop and Service), including report creation, data modeling, and basic DAX.
  • Basic knowledge of SQL Server and ability to write SELECT queries, joins, filters, and aggregations.
  • Familiarity with Microsoft SharePoint for document management and collaboration.
  • Familiarity with Jira (or similar work management tools) for tracking tasks and stories.
  • Strong proficiency in Microsoft Excel (formulas, pivot tables, Power Query).
  • Strong analytical and problem-solving skills with high attention to detail.
  • Effective written and verbal communication skills; able to translate business questions into data requirements.
  • Self-starter who can manage multiple priorities and work independently with guidance.
Preferred
  • Exposure to Power Query (M) and intermediate DAX measures.
  • Familiarity with ETL concepts, data warehousing, and star schema modeling.
  • Experience with Power Automate, Power Apps, or the broader Microsoft Power Platform.
  • Exposure to MES, ERP, or manufacturing data environments.
  • Coursework or projects involving data visualization, statistics, or business analysis.
  • Understanding of data governance, lineage, and metric standardization concepts.