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Data Analyst Intern Jobs in Monroe, MI (NOW HIRING)

The Data Research and Collection Intern collects and interprets data for our customers affected by ... Analyze use of Wdesk by current customers in the EU What You'll Need Minimum Qualifications

New

The Data Research and Collection Intern collects and interprets data for our customers affected by ... Analyze use of Wdesk by current customers in the EU What You'll Need Minimum Qualifications

New

Build data models, predictive analytics, and forecasting tools to improve planning and operational effectiveness. * Write and optimize SQL queries and leverage Python or other analytical tools to ...

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 ...

Power BI Intern

Toledo, OH · On-site

$15/hr

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 Analyst Intern information

See Monroe, MI salary details

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How much do data analyst intern jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for data analyst intern in Monroe, MI is $20.83, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $22.69 per hour, depending on experience, location, and employer.

What does a data analyst intern do?

A Data Analyst Intern supports data analysis projects by collecting, cleaning, and organizing data. They use tools like Excel, SQL, or Python to analyze datasets and help generate reports or visualizations for business insights. Interns often work under supervision, assisting with ongoing projects and learning industry best practices, which helps them gain valuable experience in data analytics and business intelligence.

What types of projects and tasks can a data analyst intern expect to work on during their internship?

As a Data Analyst Intern, you can expect to work on a variety of projects such as cleaning and organizing datasets, creating data visualizations, and supporting the analysis of business trends. You'll often be asked to assist in preparing reports, updating dashboards, and collaborating with team members from departments like marketing, finance, or product management. This hands-on experience provides exposure to real-world data challenges and the opportunity to develop technical skills using tools like Excel, SQL, or Python, while also learning how data-driven decisions are made within the organization.

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

To thrive as a Data Analyst Intern, you need a solid understanding of statistics, data analysis, and proficiency in Excel or similar spreadsheet tools, often supported by coursework in data science or related fields. Familiarity with data visualization software like Tableau, and programming languages such as SQL or Python, is commonly expected. Strong attention to detail, problem-solving skills, and the ability to communicate findings clearly are standout soft skills for this role. These skills enable interns to extract actionable insights from data, support decision-making, and contribute meaningfully to business objectives.

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

AspectData Analyst InternData Scientist Intern
Required CredentialsTypically pursuing or recent graduate in data-related fields; basic knowledge of SQL, Excel, and data visualizationOften pursuing or recent graduate in data science or related fields; knowledge of programming (Python, R), machine learning, and statistical modeling
Work EnvironmentEntry-level, supporting data analysis tasks, reporting, and visualizationMore advanced projects involving predictive modeling, algorithms, and complex data analysis
Employer & Industry UsageCommon in tech, finance, marketing, and consulting firmsFound in tech, research, and analytics-driven industries

The main difference between a Data Analyst Intern and a Data Scientist Intern lies in the complexity of tasks and required skills. Data Analyst Interns focus on data cleaning, visualization, and reporting, while Data Scientist Interns handle advanced modeling and machine learning. Both roles are valuable entry points into data careers, with the Data Scientist Intern position typically requiring more technical expertise.

Is a data analyst internship worth it?

A data analyst internship provides practical experience with data analysis tools like Excel, SQL, and visualization software, which can enhance employability and skill development. It offers exposure to real-world projects and networking opportunities, making it valuable for those pursuing a career in data analysis.

What are the most commonly searched types of Data Analyst jobs in Monroe, MI?

The most popular types of Data Analyst jobs in Monroe, MI are:

What cities near Monroe, MI are hiring for Data Analyst Intern jobs?

Cities near Monroe, MI with the most Data Analyst Intern job openings:

Infographic showing various Data Analyst Intern job openings in Monroe, MI as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $43,332 per year, or $20.8 per hour.

Power BI & Analytics Intern

Ann Arbor, MI

Full-time, Internship

Re-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.
Employment Type: OTHER