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Data Analytics Intern Relocation Jobs in Canton, MI

Check us out: www.amtbna.com We are looking for a Data Analytics Co-Op AMTB is seeking a motivated and detail-oriented Data Analytics Intern to join our team and contribute to the business ...

Check us out: www.amtbna.com We are looking for a Data Analytics Co-Op AMTB is seeking a motivated and detail-oriented Data Analytics Intern to join our team and contribute to the business ...

FORVIA is looking for a year-round Data Science Intern for its headquarters in Auburn Hills ... Data analysis and excel skills are a plus * Majors in computer science, data analysis, or related ...

FORVIA is looking for a year-round Data Science Intern for its headquarters in Auburn Hills ... analysis and excel skills are a plus Majors in computer science, data analysis, or related firld ...

System Engineering Intern

Rochester Hills, MI · On-site

$15.50 - $20/hr

This position offers hands-on experience with vehicleelectronics, test equipment, data analysis ... The intern will gain experience in: * Automotive systems engineering processes * Vehicle and bench ...

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

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Data Analytics Intern Relocation information

See Canton, MI salary details

$11

$20

$38

How much do data analytics intern relocation jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for data analytics intern relocation in Canton, MI is $20.86, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $22.74 per hour, depending on experience, location, and employer.

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

AspectData Analytics Intern RelocationData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, sometimes certifications
Work EnvironmentInternship setting, often temporary, collaborative teamsFull-time, permanent role, more independent responsibilities
Employer & Industry UsageUsed by companies offering internship programs, often in tech, finance, healthcareCommon across industries for ongoing data analysis needs
Search & Comparison IntentPeople exploring internship opportunities, relocation detailsIndividuals seeking full-time data analysis roles

In summary, Data Analytics Intern Relocation focuses on temporary internship roles involving relocation, often for students or recent graduates. Data Analyst positions are full-time roles requiring more experience and offering ongoing employment. The main differences lie in experience level, job permanence, and purpose of the role.

What are some common challenges faced by Data Analytics Interns who relocate for their internship, and how can these be managed?

Relocating for a Data Analytics Internship often presents challenges such as adjusting to a new city, building a professional network from scratch, and adapting to the company's culture and data tools. Interns may find the initial weeks overwhelming as they balance settling in and meeting project expectations. Proactively reaching out to teammates, attending company events, and seeking mentorship can help ease the transition. Many organizations also offer onboarding sessions and resources to support relocated interns, so taking advantage of these can make the move smoother and more rewarding.

What are Data Analytics Intern Relocation programs?

Data Analytics Intern Relocation programs are initiatives by employers to support interns who need to move to a new city or country for a data analytics internship. These programs may provide financial assistance, housing support, or guidance on moving logistics. The goal is to make it easier for interns to transition smoothly and focus on their internship experience. Depending on the employer, relocation packages can vary greatly, so it’s important to ask about available support during the application process.

What are the key skills and qualifications needed to thrive as a Data Analytics Intern, and why are they important?

To thrive as a Data Analytics Intern, you need a strong grasp of statistics, data analysis, and foundational programming skills, often supported by coursework in data science, statistics, or a related field. Familiarity with tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau or Power BI is typically expected. Critical thinking, attention to detail, and effective communication make candidates stand out by enabling them to interpret and present data insights clearly. These skills and qualities are crucial for extracting actionable insights from complex data and supporting informed business decisions.
What job categories do people searching Data Analytics Intern Relocation jobs in Canton, MI look for? The top searched job categories for Data Analytics Intern Relocation jobs in Canton, MI are:
What cities near Canton, MI are hiring for Data Analytics Intern Relocation jobs? Cities near Canton, MI with the most Data Analytics Intern Relocation job openings:
Infographic showing various Data Analytics Intern Relocation job openings in Canton, MI as of June 2026, with employment types broken down into 1% Internship, 72% Full Time, 9% Part Time, 2% Temporary, and 16% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $43,380 per year, or $20.9 per hour.

Full-time, Internship

Posted 3 days ago

New


Job description

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.


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


  • 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.

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.