Analytics Manager Visa Sponsorship Jobs in Michigan
Michigan's analytics manager roles are concentrated in Detroit's automotive corridor, where Ford, General Motors, and Stellantis run large data and business intelligence teams, alongside a growing health tech sector anchored by companies like Blue Cross Blue Shield of Michigan. Ann Arbor and Grand Rapids also draw analytics hiring, with the University of Michigan feeding a strong local talent pipeline.
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Get Access To All JobsINTRODUCTION
Start your engineering career by working with real data, real automated systems, and real customer challenges. This 2027 Kettering University Co-op opportunity with Dematic’s Digital Solutions Software team gives you the chance to apply what you’re learning in the classroom while building analytics solutions for some of the world’s most advanced warehouse automation systems.
You’ll work alongside experienced software and analytics professionals to develop dashboards, analyze data, test solutions, and solve technical problems using tools such as SQL, Python, visualization platforms, and cloud technologies. We’re looking for a curious problem solver who enjoys learning new technologies, working with data, and building solutions that make an impact.
We offer:
- Competitive pay and benefits
- Pay Transparency
- Global Opportunities
Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
The base pay range for this role is estimated to be $19.00-$23.00 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills.
TASKS AND QUALIFICATIONS
What You Will Do in This Role
As an Advanced Analytics Co-op, you’ll work alongside software engineers, data analysts, and other technical team members to solve real-world problems using data. You’ll gain hands-on experience with analytics, dashboards, databases, cloud technologies, and warehouse automation while contributing to projects that are used by real customers.
This is an opportunity to take what you’re learning in the classroom and apply it to large-scale, automated distribution and manufacturing environments.
Key Responsibilities
- Work with engineers, analysts, and business partners to understand problems and turn them into practical analytics solutions.
- Help design, build, test, and improve dashboards, reports, and other data-driven applications.
- Query and analyze data using technologies such as SQL, Google BigQuery, or Microsoft SQL Server.
- Work with data visualization tools such as Power BI, Tableau, or Looker to turn data into useful insights.
- Learn how data moves through automated warehouse and material handling systems and how it can be used to improve operations.
- Assist with testing and validating analytics solutions to make sure the results are accurate and ready for customer use.
- Participate in requirements discussions, technical design sessions, troubleshooting, and solution reviews.
- Document solutions and communicate your findings to both technical and non-technical team members.
- Collaborate with a multidisciplinary engineering team while also taking ownership of individual assignments.
- Gain exposure to cloud platforms, modern data architectures, and large-scale industrial automation systems.
What We Are Looking For
Education
- Currently pursuing a bachelor’s degree at Kettering University, preferably in Computer Science, Computer Engineering, Data Science, Applied Mathematics, or a related technical field.
- Students at different points in their co-op journey are encouraged to apply. We’re looking for curiosity, problem-solving ability, and a willingness to learn, not someone who already knows everything on this list.
Knowledge / Qualifications
You don’t need to check every box. A strong candidate will have some of the following experience through coursework, personal projects, previous co-op rotations, or other hands-on learning:
- Basic experience with SQL and relational databases.
- Experience with or an interest in Python for data analysis, automation, or application development.
- Familiarity with data visualization tools such as Power BI, Tableau, or Looker is a plus.
- An interest in working with data to identify trends, investigate problems, and develop solutions.
- Strong problem-solving skills and a willingness to dig into unfamiliar technical challenges.
- Good written and verbal communication skills and the ability to explain technical ideas clearly.
- Experience working on team-based programming, engineering, or analytics projects through coursework, extracurricular activities, or previous co-op assignments.
- Exposure to cloud technologies, data engineering, APIs, or modern software development is a plus.
- An interest in automation, robotics, material handling equipment, manufacturing, logistics, or supply chain technology is a plus.
- Most importantly, a desire to learn, experiment, ask questions, and build things that solve real problems.
What You’ll Get From the Experience
- Hands-on experience with real production data and customer-facing engineering solutions.
- Exposure to modern analytics, cloud, and data technologies.
- Experience working with software and data generated by automated warehouse systems.
- Opportunities to develop your skills in SQL, Python, visualization, data analysis, and software engineering.
- Experience working through the complete lifecycle of a solution, from understanding the original problem through development, testing, validation, and delivery.
- Mentorship and collaboration with experienced software, analytics, and automation engineers.
- Meaningful project ownership rather than purely observational or administrative co-op work.
INTRODUCTION
Start your engineering career by working with real data, real automated systems, and real customer challenges. This 2027 Kettering University Co-op opportunity with Dematic’s Digital Solutions Software team gives you the chance to apply what you’re learning in the classroom while building analytics solutions for some of the world’s most advanced warehouse automation systems.
You’ll work alongside experienced software and analytics professionals to develop dashboards, analyze data, test solutions, and solve technical problems using tools such as SQL, Python, visualization platforms, and cloud technologies. We’re looking for a curious problem solver who enjoys learning new technologies, working with data, and building solutions that make an impact.
We offer:
- Competitive pay and benefits
- Pay Transparency
- Global Opportunities
Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
The base pay range for this role is estimated to be $19.00-$23.00 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills.
TASKS AND QUALIFICATIONS
What You Will Do in This Role
As an Advanced Analytics Co-op, you’ll work alongside software engineers, data analysts, and other technical team members to solve real-world problems using data. You’ll gain hands-on experience with analytics, dashboards, databases, cloud technologies, and warehouse automation while contributing to projects that are used by real customers.
This is an opportunity to take what you’re learning in the classroom and apply it to large-scale, automated distribution and manufacturing environments.
Key Responsibilities
- Work with engineers, analysts, and business partners to understand problems and turn them into practical analytics solutions.
- Help design, build, test, and improve dashboards, reports, and other data-driven applications.
- Query and analyze data using technologies such as SQL, Google BigQuery, or Microsoft SQL Server.
- Work with data visualization tools such as Power BI, Tableau, or Looker to turn data into useful insights.
- Learn how data moves through automated warehouse and material handling systems and how it can be used to improve operations.
- Assist with testing and validating analytics solutions to make sure the results are accurate and ready for customer use.
- Participate in requirements discussions, technical design sessions, troubleshooting, and solution reviews.
- Document solutions and communicate your findings to both technical and non-technical team members.
- Collaborate with a multidisciplinary engineering team while also taking ownership of individual assignments.
- Gain exposure to cloud platforms, modern data architectures, and large-scale industrial automation systems.
What We Are Looking For
Education
- Currently pursuing a bachelor’s degree at Kettering University, preferably in Computer Science, Computer Engineering, Data Science, Applied Mathematics, or a related technical field.
- Students at different points in their co-op journey are encouraged to apply. We’re looking for curiosity, problem-solving ability, and a willingness to learn, not someone who already knows everything on this list.
Knowledge / Qualifications
You don’t need to check every box. A strong candidate will have some of the following experience through coursework, personal projects, previous co-op rotations, or other hands-on learning:
- Basic experience with SQL and relational databases.
- Experience with or an interest in Python for data analysis, automation, or application development.
- Familiarity with data visualization tools such as Power BI, Tableau, or Looker is a plus.
- An interest in working with data to identify trends, investigate problems, and develop solutions.
- Strong problem-solving skills and a willingness to dig into unfamiliar technical challenges.
- Good written and verbal communication skills and the ability to explain technical ideas clearly.
- Experience working on team-based programming, engineering, or analytics projects through coursework, extracurricular activities, or previous co-op assignments.
- Exposure to cloud technologies, data engineering, APIs, or modern software development is a plus.
- An interest in automation, robotics, material handling equipment, manufacturing, logistics, or supply chain technology is a plus.
- Most importantly, a desire to learn, experiment, ask questions, and build things that solve real problems.
What You’ll Get From the Experience
- Hands-on experience with real production data and customer-facing engineering solutions.
- Exposure to modern analytics, cloud, and data technologies.
- Experience working with software and data generated by automated warehouse systems.
- Opportunities to develop your skills in SQL, Python, visualization, data analysis, and software engineering.
- Experience working through the complete lifecycle of a solution, from understanding the original problem through development, testing, validation, and delivery.
- Mentorship and collaboration with experienced software, analytics, and automation engineers.
- Meaningful project ownership rather than purely observational or administrative co-op work.
Analytics Manager Job Roles in Michigan
See all 175+ Analytics Manager Jobs in Michigan
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Search Analytics Manager Jobs in MichiganAnalytics Manager Jobs in Michigan: Frequently Asked Questions
Which companies in Michigan sponsor visas for analytics managers?
Ford Motor Company, General Motors, and Stellantis are among the most active H-1B visa sponsors for analytics roles in Michigan, given the depth of their data and business intelligence operations. Beyond automotive, Blue Cross Blue Shield of Michigan, Rocket Companies, and Consumers Energy have also filed sponsored positions for analytics and data management roles in recent years.
Which visa types are most common for analytics manager roles in Michigan?
The H-1B is by far the most common visa type for analytics managers in Michigan. The role typically qualifies as a specialty occupation because it requires a bachelor's degree or higher in a specific field such as statistics, computer science, or business analytics. Candidates already holding L-1B or O-1 visa status may also find sponsorship opportunities with larger Michigan employers, though H-1B remains the primary pathway.
Which Michigan cities have the most analytics manager sponsorship jobs?
Detroit and its surrounding metro area, including Dearborn, Auburn Hills, and Southfield, account for the largest share of analytics manager sponsorship activity in Michigan due to the concentration of automotive headquarters and financial services firms. Ann Arbor is a secondary hub, driven by the University of Michigan health system and tech-adjacent companies. Grand Rapids sees more limited but growing sponsorship in healthcare analytics.
How to find analytics manager visa sponsorship jobs in Michigan?
Migrate Mate filters job listings specifically to roles where employers have a documented history of visa sponsorship, which saves considerable time compared to filtering generalist listings manually. For analytics manager roles in Michigan, Migrate Mate's search tools let you narrow by state and role type so you can focus on employers actively open to sponsoring candidates rather than sifting through postings that exclude international applicants.
Are there state-specific factors analytics managers should know about when pursuing sponsorship in Michigan?
Michigan's prevailing wage requirements for H-1B positions are set at the metropolitan area level, so analytics manager roles in the Detroit metro are benchmarked separately from those in Grand Rapids or the Upper Peninsula. Michigan's automotive industry also means many analytics manager roles are tied to manufacturing data, supply chain intelligence, or connected vehicle platforms, so candidates with domain experience in those areas may find their profiles more competitive with local sponsors.
What is the prevailing wage for sponsored analytics manager jobs in Michigan?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.