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Data Analytics Virtual Internship Jobs in Michigan

General Motors

Data Analyst

Warren, MI · On-site

The Data Analyst will turn complex operational and packaging data into actionable insights that ... analytics, or a similar role. (any internship or co-op experience will not be considered) * Strong ...

General Motors

Data Analyst

Warren, MI

The Data Analyst will turn complex operational and packaging data into actionable insights that ... analytics, or a similar role. (any internship or co-op experience will not be considered) * Strong ...

Stellar Professionals LLC

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Virtual via MS Teams Video (Laptop with screen-share capability required) Core Skills ... Portfolio Analytics: Track project performance, KPIs, risk factors, and financial trends across ...

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How much do data analytics virtual internship jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for data analytics virtual internship in Michigan is $19.61, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $21.39 per hour, depending on experience, location, and employer.

What is a data analytics virtual internship?

A Data Analytics Virtual Internship is a remote learning experience where participants gain practical skills in analyzing and interpreting data using digital tools, often from home or any location with internet access. Interns work on real-world projects, such as data cleaning, visualization, and reporting, to develop their analytical and technical abilities. These internships typically involve using software like Excel, SQL, Python, or Tableau, and may include mentorship or feedback from industry professionals. Virtual internships offer flexibility, making them accessible to students and career changers worldwide. They are a great way to build experience and enhance your resume in the field of data analytics.

What types of real-world projects can I expect to work on during a data analytics virtual internship?

During a Data Analytics Virtual Internship, you can expect to work on projects such as analyzing business datasets, creating dashboards and visualizations, performing data cleaning, and generating actionable insights to support decision-making. These projects often simulate challenges faced by data analysts in various industries, helping you build practical experience with tools like Excel, SQL, or Tableau. You may also collaborate remotely with other interns or mentors, receive feedback on your work, and present findings, all of which mirror typical professional workflows.

What is the difference between Data Analytics Virtual Internship vs Data Analyst?

AspectData Analytics Virtual InternshipData Analyst
CredentialsOften students or entry-level with coursework in data analysisTypically requires a degree in data science, statistics, or related field
Work EnvironmentRemote, project-based, temporaryFull-time or part-time, in-office or remote
Employer & Industry UsageInternships offered by companies for training; industry-wideFull-time roles in various industries like finance, healthcare, tech

The main difference is that a Data Analytics Virtual Internship is a temporary, training-focused opportunity for beginners or students, often remote, while a Data Analyst is a full-time professional role requiring more experience and credentials. Internships serve as a stepping stone into the industry, whereas data analyst positions involve ongoing responsibilities and career development.

What are the key skills and qualifications needed to thrive as a data analytics virtual intern?

To thrive as a Data Analytics Virtual Intern, you need a solid understanding of statistical analysis, data manipulation, and foundational programming skills, often gained through coursework in data science or related fields. Familiarity with tools like Excel, SQL, Python, and data visualization platforms such as Tableau is typically required. Strong attention to detail, effective communication, and self-motivation help interns stand out when working remotely and collaborating on projects. These skills ensure interns can analyze data accurately, deliver actionable insights, and contribute meaningfully to virtual teams.
What are popular job titles related to Data Analytics Virtual Internship jobs in Michigan? For Data Analytics Virtual Internship jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Analytics Virtual Internship jobs in Michigan look for? The top searched job categories for Data Analytics Virtual Internship jobs in Michigan are:
What cities in Michigan are hiring for Data Analytics Virtual Internship jobs? Cities in Michigan with the most Data Analytics Virtual Internship job openings:
Data Analytics Virtual Internship jobs near you

Data Analyst

General Motors

Warren, MI • On-site

Full-time

Posted 10 days ago

General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 305 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,268 frontline employees who took The Breakroom Quiz

Job description

Job Description
The Role
General Motors is seeking a Data Analyst to support the GPSC Logistics & Packaging organization. This role sits in the business side of logistics and containerization, where the team drives packaging strategy, supplier alignment, inbound flow, and system visibility across OE and CCA.
The Data Analyst will turn complex operational and packaging data into actionable insights that improve cost, pack density, trailer utilization, sourcing visibility, packaging cost capture, and overall inbound execution. This position is ideal for someone who can build dashboards, write code, bring together large datasets, and help business partners make better decisions using trusted data.
Project Scope for the Role
  • Establish a reliable data foundation for logistics and packaging by connecting, cleaning, and standardizing data from key enterprise systems, packaging sources, and operational reporting tools.
  • Build scalable reporting and dashboard solutions that give leadership and business partners visibility to packaging plans, container activity, inbound logistics performance, cost drivers, and KPI trends.
  • Develop analysis workflows that identify cost reduction opportunities, pack density improvements, flow disruptions, claims drivers, and process inefficiencies across the logistics and packaging value stream.
  • Support exploratory data analysis and structured root-cause problem solving to improve data quality, clarify business issues, and uncover actionable insights for sourcing, packaging, and logistics teams.
  • Design and support ETL/ELT pipelines and curated datasets that make logistics and packaging data easier to use for recurring reporting, self-service analytics, and future advanced modeling.
  • Partner cross-functionally with Purchasing, PFEP, packaging engineers, container teams, logistics operations, IT, finance, and plant stakeholders to align business questions, source data, and prioritize analytics work.
  • Translate ambiguous operational questions into clearly scoped analytics projects with defined hypotheses, measures of success, timelines, and business recommendations.
  • Enable future-state analytics capabilities, including segmentation, forecasting, and predictive analysis, where they can improve decision making without overcomplicating the core reporting and insight needs of the organization.
  • Drive process discipline and documentation for key data definitions, assumptions, source logic, and reporting standards so outputs are trusted and repeatable.
  • Deliver a roadmap of short-, medium-, and longer-term analytics improvements that strengthen system visibility, reduce manual work, and improve total cost and execution performance across GPSC Logistics & Packaging.

What You'll Do
  • Build and maintain Power BI dashboards, recurring reports, and self-service analytics for logistics, containers, packaging, and related cost or flow performance metrics.
  • Combine and validate data from multiple systems and sources to create a reliable view of packaging plans, container activity, inbound logistics performance, and cost opportunities.
  • Analyze packaging and logistics data to identify trends, root causes, risks, and improvement opportunities tied to cost, density, freight, launch readiness, and plant execution.
  • Support business decisions by translating data into clear recommendations for managers, buyers, packaging teams, logistics partners, and plant stakeholders.
  • Develop reporting and analyses tied to approved packaging plans, PFEP visibility, sourcing alignment, and inbound execution outcomes.
  • Help improve data quality and process discipline by identifying gaps, validating assumptions, and reducing manual interpretation of supplier and packaging inputs.
  • Use tools and data related to OLCT, PFEP, GM 1738 requirements, and other packaging or logistics reference sources to support analysis and reporting.
  • Partner cross-functionally with GPSC Purchasing, PFEP Packaging & Data Management, packaging engineers, container teams, logistics teams, and plants to align data with operational needs.
  • Support special projects involving container flow, expendable packaging, claims, system visibility, KPI development, and total enterprise cost analysis.
  • Drive continuous improvement by automating reporting, simplifying analysis workflows, and enabling faster, data-driven decision making across the organization.

Your Skills & Abilities (Required Qualifications)
  • 5+ years of experience in data analytics, business intelligence, data science, machine learning, supply chain analytics, packaging analytics, logistics analytics, or a similar role. (any internship or co-op experience will not be considered)
  • Strong SQL proficiency and the ability to work across large, complex, and sometimes imperfect datasets.
  • Python proficiency, including experience with libraries and tools used for data analysis and automation.
  • Experience with Power BI or similar visualization tools, including dashboard design and KPI reporting.
  • Experience with Databricks, Spark, and/or other cloud-based data platforms for large-scale data processing.
  • Experience designing and implementing ETL/ELT pipelines that integrate data from multiple transactional and analytical systems.
  • Strong skills in exploratory data analysis to assess data quality, structure, and relationships.
  • Ability to translate ambiguous business questions into analytical and data problems with clear hypotheses, success criteria, and structured recommendations for technical and non-technical stakeholders.
  • Ability to lead large-scale development projects with third-party software and analytics companies, including scoping, coordination, and project management.
  • Strong analytical, problem-solving, and communication skills, with the ability to manage multiple assignments with a high level of autonomy and accountability.

What Will Give You a Competitive Edge (Preferred Qualifications)
  • Bachelor's degree in computer science, engineering, statistics, mathematics, physics, supply chain, information systems, or another related quantitative field; advanced degree preferred.
  • Experience working with packaging, containers, inbound logistics, supply chain operations, automotive, manufacturing, or engineering data.
  • Familiarity with packaging concepts such as returnable, expendable, primary, back-up, bulk, and unitized packaging.
  • Working knowledge of OLCT, PFEP, GM 1738, or other GM packaging and logistics systems or standards.
  • Experience supporting sourcing, should-cost visibility, cost reduction, or operational improvement initiatives.
  • Experience with descriptive or predictive modeling methods such as regression, clustering, segmentation, random forests, or gradient boosting, applied pragmatically to business problems.
  • Exposure to advanced ML/AI techniques is a plus, but the primary focus of this role is strong data analytics, EDA, data engineering, and practical business insight generation.

What Success Looks Like
  • Improved visibility to packaging and logistics performance through trusted dashboards and reporting.
  • Faster identification of cost, flow, density, and execution issues affecting suppliers, plants, and internal teams.
  • Better alignment between packaging plans, sourcing decisions, and inbound execution through stronger data discipline and analytics support.
  • Reduced manual effort and more scalable reporting across logistics and packaging workstreams.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.The selected candidate will be required to travel <25% for this role.This job may be eligible for relocation benefits.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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About General Motors

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General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

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