1

Data Analytics Teaching Jobs in Michigan (NOW HIRING)

Conceptual Teaching & Problem-Solving: Skilled at breaking down regression modeling, data ... Familiar with business analytics curricula and common challenges such as transitioning from ...

Conceptual Teaching & Problem-Solving: Skilled at breaking down regression modeling, data ... Familiar with business analytics curricula and common challenges such as transitioning from ...

Business Analytics Tutor

Detroit, MI · Remote

$18 - $40/hr

Conceptual Teaching & Problem-Solving: Skilled at breaking down regression modeling, data ... Familiar with business analytics curricula and common challenges such as transitioning from ...

Conduct ad-hoc analysis and present results clearly at multiple-levels of stakeholders through ... Aptitude and willingness to learn new things and teach others * Strong written and oral ...

Teacher - Elementary

Alanson, MI · On-site

$37K - $50K/yr

... data analysis, and can readily perform the physical demands of teaching; - Have knowledge and skill in designing and implementing learning goals and experiences for students, documenting learning ...

Showing results 21-40

Data Analytics Teaching information

See Michigan salary details

$21

$47

$82

How much do data analytics teaching jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data analytics teaching in Michigan is $47.72, according to ZipRecruiter salary data. Most workers in this role earn between $38.37 and $54.04 per hour, depending on experience, location, and employer.

What is data analytics teaching?

A Data Analytics Teaching job involves educating students or professionals on data analysis concepts, tools, and techniques. Instructors teach subjects like data visualization, statistical analysis, SQL, Python, and machine learning. They may work in universities, online platforms, or corporate training programs. Responsibilities include developing curriculum, designing hands-on exercises, and mentoring learners. Effective teaching requires both technical expertise and the ability to explain complex concepts clearly.

What are the key skills and qualifications needed to thrive in data analytics teaching?

To excel in Data Analytics Teaching, a solid background in data analysis, statistics, and instructional design—usually supported by an advanced degree in a quantitative field—is essential. Familiarity with tools such as Python, R, SQL, Tableau, and relevant certifications like Microsoft Certified: Data Analyst Associate or Certified Analytics Professional is common. Outstanding communication, patience, and the ability to simplify complex concepts are important soft skills for effectively engaging learners. These skills ensure instructors can deliver practical, accessible learning experiences that prepare students for real-world data roles.

What are some typical challenges faced by professionals teaching data analytics, and how can they be addressed?

Professionals teaching data analytics often encounter challenges such as varying levels of student proficiency, rapidly changing industry tools, and the need to illustrate real-world applications. To address these, instructors may develop adaptable teaching materials, incorporate hands-on projects, and stay current with industry developments through ongoing education or professional networks. Collaborating with industry partners for guest lectures and case studies can also help keep course content relevant and engaging. Being flexible and using a variety of teaching methods can ensure all students, regardless of background, are able to grasp key concepts.

What are the most commonly searched types of Data Analytics Teaching jobs in Michigan?

The most popular types of Data Analytics Teaching jobs in Michigan are:

What are popular job titles related to Data Analytics Teaching jobs in Michigan?

For Data Analytics Teaching jobs in Michigan, the most frequently searched job titles are:

Infographic showing various Data Analytics Teaching job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $99,251 per year, or $47.7 per hour.

Adjunct Faculty - Quantitative Methods

Walsh College

Troy, MI

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Key responsibilities

  • Teach quantitative methods, data analytics, and/or technology related courses via Zoom, in the classroom, and online.

  • Develop new courses and assist in updating curricula to meet student and employer needs.

  • Provide student learning outcomes data related to the courses taught and academic programs.


Job description

Adjunct Faculty

Walsh is more than a business school.  We’re an accelerator.  A think tank.  An incubator for ideas.  We’re the fuel you need to take that next step.  Where leaders are made and where barriers are broken.

Since 1922, Walsh has combined theory and application to prepare students for successful careers.  With each of our internationally and nationally ranked business and technology bachelor’s and master’s degree programs, you’ll learn from proven business minds who have been there and done that. 

As an all-business college, our students are serious about business, and we are serious about helping them in their education and in their professions.  We seek talented, experienced professionals who share this focus and goal.

Position Summary

As an Adjunct Faculty member in the decision science department, you will be responsible for providing college graduate level instruction in your area of expertise. You will assist in ensuring that course materials have a high level of quality, rigor, and academic standards are met. You will have a passion for serving the next generation of business and technology leaders.

Essential Duties and Responsibilities

  • Teach quantitative methods, data analytics, and/or technology related courses via Zoom and in the classroom, and online.
  • Develop new courses.
  • Assist in updating curricula to meet the needs of students and employers.
  • Provide student learning outcomes data as it relates to the courses taught and academic program(s).
  • Follow guidelines outlined by the dean of academics and the department chair to meet KPI metrics.
  • Other duties as assigned.

Minimum Qualifications (Knowledge, Skills, and Abilities

  • Completion of a minimum of eighteen graduate credits in quantitative methods, data science, or data analytics required.
  • A minimum of two years related professional work experience is required.
  • College level teaching experience preferred.
  • Doctorate degree is required in quantitative methods, data science, data analytics, or related field.
  • Related professional certifications are a plus.
  • Ability to teach and engage adult learners who possess professional experience.
  • Knowledge of current technology used in management-related professions required.
  • Superior written, presentation, and interpersonal communication skills required.
  • Willingness and capability to teach via Zoom and in the classroom and online.

Walsh College offers a competitive benefits package including Medical, Dental, Vision, Life & Disability Insurance, Flexible Spending Accounts, and a Pet Assure Program.  Additional benefits include, Retirement Savings & Investment, paid holidays, paid time off, and tuition waiver and reimbursement.

At Walsh College, our team members are driven to consistently live the Walsh College mission – to provide a transformative business and technology education that combines theory, application, and professional experience to prepare graduates for successful careers, in a way consistent with our Values – Excellence, Integrity, Respect, Accountability, Collaboration, and Dedication.

We seek humble, hungry, and smart (“Ideal Team Players”) professionals who share in our mission. 

This is where the future is made.  Your future.  Join our team today!

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities