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Data Analytics Intern Jobs in Novi, MI (NOW HIRING)

UNAVAILABLE

Power BI & Analytics Intern

Ann Arbor, MI · On-site

Overview We are seeking a detail-oriented and analytical Power BI & Analytics Intern to join our ... This is an excellent opportunity for someone looking to gain hands-on experience in data ...

Stryker

Data Science Intern - Remote

Rochester Hills, MI · On-site

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

Stryker

Data Science Intern - Remote

Ann Arbor, MI · On-site

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

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All JobsData Analytics Intern JobsData Analytics Intern Jobs in Novi, MI

Data Analytics Intern information

See Novi, MI salary details

$11

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$39

How much do data analytics intern jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data analytics intern in Novi, MI is $21.11, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $22.98 per hour, depending on experience, location, and employer.

What does a data analytics intern do?

A Data Analytics Intern assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with tools like Excel, SQL, and data visualization software to identify trends, create reports, and support business objectives. Interns often collaborate with data analysts and other team members to gain practical experience and develop their technical skills. Their work may involve cleaning datasets, running basic analyses, and presenting findings to stakeholders.

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 solid understanding of statistics, data analysis, and proficiency in programming languages like Python or R, often supported by coursework in mathematics, computer science, or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and spreadsheet software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for drawing meaningful insights from data and supporting decision-making processes within an organization.

What are some common challenges data analytics interns face during their internship, and how can they overcome them?

Data Analytics Interns often encounter challenges such as working with large and complex datasets, learning new analytical tools and programming languages on the job, and translating data findings into actionable insights for non-technical stakeholders. To overcome these challenges, interns should proactively seek guidance from mentors, take advantage of available training resources, and communicate regularly with team members to clarify project goals. Developing strong problem-solving skills and being open to feedback also helps interns grow and succeed in the role.

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

AspectData Analytics InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship programs, entry-level tasks, supervisedFull-time, independent project work, more responsibility
Employer & Industry UsageInternships in various industries, training rolesFull-time roles across industries like finance, tech, healthcare
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill development, salary expectations

The main difference between a Data Analytics Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as training grounds, whereas Data Analysts are expected to independently analyze data and contribute to decision-making processes.

Can I do a data analytics intern internship?

A data analytics intern internship is typically available to students or recent graduates with skills in data analysis, statistics, and tools like Excel, SQL, or Python. Internships usually have age or educational requirements and may require a resume or interview process. They provide practical experience in data collection, cleaning, and reporting within a professional environment.

What are the most commonly searched types of Data Analytics jobs in Novi, MI?

The most popular types of Data Analytics jobs in Novi, MI are:

What are popular job titles related to Data Analytics Intern jobs in Novi, MI?

For Data Analytics Intern jobs in Novi, MI, the most frequently searched job titles are:

What job categories do people searching Data Analytics Intern jobs in Novi, MI look for?

The top searched job categories for Data Analytics Intern jobs in Novi, MI are:

What cities near Novi, MI are hiring for Data Analytics Intern jobs?

Cities near Novi, MI with the most Data Analytics Intern job openings:

Data Analytics Intern jobs near you
Infographic showing various Data Analytics Intern job openings in Novi, MI as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $43,916 per year, or $21.1 per hour.

Power BI & Analytics Intern: Data-Driven Manufacturing

UNAVAILABLE

Ann Arbor, MI • On-site

Other

Posted 4 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.
QualificationsRequired
  • 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.
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