ZipRecruiter

Log In

1

Internship Data Analyst Student 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 ... a similar role. (any internship or co-op experience will not be considered) * Strong SQL ...

General Motors

Data Analyst

Warren, MI

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

Stellantis

Business & Data Analyst

Auburn Hills, MI

The Commercial Analytics team is looking for a Business and Data Analyst to join our team. Your ... Student loan refinancing programs * 18 paid volunteer hours each year to make a difference in your ...

Stellantis

The Data Analyst / Front‑End App Developer is responsible for designing, building, and ... Student loan refinancing programs * 18 paid volunteer hours each year to make a difference in your ...

Stellantis

Data Analyst / Front End

Auburn Hills, MI · On-site

The Data Analyst / Front‑End App Developer is responsible for designing, building, and ... Student loan refinancing programs * 18 paid volunteer hours each year to make a difference in your ...

Danaher

$90K - $107K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

Danaher

$85K - $101K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

Danaher

$97K - $115K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

Danaher

Digital Analyst Internships

Mount Pleasant, MI · On-site

$90K - $107K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

Danaher

$94K - $111K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

Danaher

$92K - $109K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

Danaher

Digital Analyst Internships

Warren, MI · On-site

$92K - $109K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

Danaher

Digital Analyst Internships

Ann Arbor, MI · On-site

$96K - $114K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

Danaher

Digital Analyst Internships

Rochester Hills, MI · On-site

$90K - $107K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

Danaher

Digital Analyst Internships

Lansing, MI · On-site

$99K - $118K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

Danaher

Digital Analyst Internships

Kalamazoo, MI · On-site

$93K - $110K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

next page

Showing results 1-20

All JobsData Analyst Student JobsInternship Data Analyst Student JobsInternship Data Analyst Student Jobs in Michigan

Internship Data Analyst Student information

What does an Internship Data Analyst Student do?

An Internship Data Analyst Student assists with collecting, processing, and analyzing data to help organizations make informed decisions. They typically work under the guidance of experienced analysts and are responsible for tasks such as cleaning data, creating reports, and visualizing findings using tools like Excel, SQL, or Python. This role provides hands-on experience with real-world data and allows students to apply their academic knowledge in a professional setting. It also helps them develop valuable technical and analytical skills for their future careers.

What types of projects can an Internship Data Analyst Student expect to work on, and how are tasks typically assigned?

As an Internship Data Analyst Student, you can expect to work on a variety of projects such as cleaning and organizing raw data, creating dashboards or visualizations, and performing exploratory data analysis to support business decisions. Tasks are often assigned by a supervising analyst or project manager and may involve collaborating with other interns or team members to solve real-world problems. You’ll likely participate in regular team meetings, present your findings, and receive feedback to help you grow your technical and communication skills throughout the internship.

What are the key skills and qualifications needed to thrive as an Internship Data Analyst Student, and why are they important?

To thrive as an Internship Data Analyst Student, you need a solid understanding of statistics, data analysis, and proficiency in spreadsheet tools, typically supported by coursework in mathematics, computer science, or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), programming languages like Python or R, and experience using databases (like SQL) are commonly expected. Strong problem-solving skills, attention to detail, and effective communication help interns interpret findings and share insights clearly. These skills are essential for delivering actionable data-driven recommendations and contributing value to the team during the internship.
What are the most commonly searched types of Data Analyst Student jobs in Michigan? The most popular types of Data Analyst Student jobs in Michigan are:
What cities in Michigan are hiring for Internship Data Analyst Student jobs? Cities in Michigan with the most Internship Data Analyst Student job openings:
Internship Data Analyst Student jobs near you

Data Analyst

General Motors

Warren, MI • On-site

Full-time

Posted 7 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 6,266 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.

Working at General Motors

What General Motors employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

General Motors logo

About General Motors

Sourced by ZipRecruiter

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

View All General Motors Jobs

Apply