1

Learning Analytics Jobs in Michigan (NOW HIRING)

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Business Analytics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Business Analytics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Business Analytics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Stefanini is looking for a Machine Learning Engineer, Dearborn, MI (Onsite) For quick apply, please ... For example, modeling a star schema for a retail analytics platform that supports reporting on ...

Machine Learning Engineer

Dearborn, MI

$105.20K - $126.30K/yr

Machine Learning Engineer #1054987 * Employees in this job function are responsible for designing ... For example, modeling a star schema for a retail analytics platform that supports reporting on ...

Machine Learning Engineer

Dearborn, MI

$105.50K - $126.60K/yr

Collaborate with data analytics stakeholders to streamline the data acquisition, processing, and ... Learning, Python, Artificial Intelligence & Expert Systems, GitHub, Tekton, Docker, Jira ...

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

next page

Showing results 1-20

Learning Analytics information

See Michigan salary details

$19

$34

$53

How much do learning analytics jobs pay per hour?

As of May 29, 2026, the average hourly pay for learning analytics in Michigan is $34.44, according to ZipRecruiter salary data. Most workers in this role earn between $25.14 and $37.69 per hour, depending on experience, location, and employer.

What is a Learning Analytics job?

A Learning Analytics job involves collecting, analyzing, and interpreting data related to learners' performance and educational experiences. Professionals in this field use data-driven insights to improve teaching strategies, personalize learning experiences, and enhance institutional decision-making. They work with various analytical tools, machine learning models, and data visualization techniques to identify patterns and trends. This role is common in educational institutions, corporate training programs, and EdTech companies.

What are the key skills and qualifications needed to thrive in the Learning Analytics position, and why are they important?

To thrive in Learning Analytics, you need strong analytical skills, experience with data analysis, and a background in educational research or instructional design, typically supported by a relevant degree. Familiarity with Learning Management Systems (LMS), statistical tools like R or Python, and certifications in data analytics are commonly expected. Excellent communication skills, problem-solving abilities, and a collaborative mindset help professionals convey insights and work effectively with educators and administrators. These skills are essential for interpreting educational data, driving improvements in teaching and learning, and supporting data-driven decisions in academic environments.

What are typical daily responsibilities for someone working in Learning Analytics?

Professionals in Learning Analytics typically spend their days collecting, cleaning, and analyzing educational data to identify patterns that can improve student outcomes and learning processes. They work closely with faculty, instructional designers, and IT teams to generate reports, visualize trends, and advise on data-backed strategies for curriculum improvement. Day-to-day tasks also involve maintaining data integrity, developing dashboards, and communicating findings in accessible ways to stakeholders. Collaboration and ongoing learning are integral, as the field continually evolves with advances in education technology and analytical methods.
What are the most commonly searched types of Learning Analytics jobs in Michigan? The most popular types of Learning Analytics jobs in Michigan are:
Infographic showing various Learning Analytics job openings in Michigan as of May 2026, with employment types broken down into 3% As Needed, 68% Full Time, 17% Part Time, 6% Temporary, and 6% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $71,639 per year, or $34.4 per hour.
Data Analytics Subject Matter Expert

Data Analytics Subject Matter Expert

Cleary University

Howell, MI

Contractor

Posted 29 days ago


Job description

Data Analytics Subject Matter Expert
Position Description and Responsibilities
Cleary University invites candidates to apply for the contract position of Data Analytics Subject Matter Expert (SME). The academic team at Cleary University seeks a dynamic student-focused expert possessing a successful academic and professional record of championing a strong, vibrant, and relevant undergraduate educational experiences of exceptional quality and relevance to the current and future workforce.
We are looking for a Data Analytics SME who possesses relevant professional, teaching, and curriculum development experience, with particular expertise in one or more of the following areas:
  • Data-driven decision making
  • Data analysis with SQL
  • Data analysis with R
  • Data analysis with Python
Fulfilling Cleary University’s Mission to “provide an intimate and inclusive, student-centered business education that instills the values of The Cleary Mind™ in our community”, the Data Analytics SME works closely with leadership, faculty, and instructional design personnel to design and create courses to be offered to our student populations, which are comprised of traditional students, student athletes, and returning adult students across a variety of instructional modalities.
The Data Analytics SME combines their formal education, professional knowledge, and real-world experience to guide content development in the course design process. Working closely with academic leadership, faculty, and instructional designers, the Data Analytics SME designs, creates, and selects one or more of the following program and course elements:
  • Course materials (e.g., textbooks, articles, videos, and online course curations).
  • Course assignments (e.g., discussion questions, presentations, applied analyses, and culminating projects).
  • Course tool selection to support virtual student projects and assignments.
  • With the course offered online in a six-week format, course materials and assignments must be accessible to students and faculty online.
With the assistance of an instructional designer, the Data Analytics SME will ensure Cleary students explore appropriate content and apply their knowledge to meet course-level outcomes and create weekly learning objectives branched out from the main course objectives. The Data Analytics SME will consult with leadership, faculty, and instructional designers to ensure consistency of new development with existing Cleary programs and courses, along with key elements of Cleary’s plan for the assessment of student learning.
The contract position can be remote or based in the Howell, MI, area. Applications will be reviewed immediately upon receipt and will continue to be accepted until the contract position is filled.
Expected Time Commitments and Potential Compensation
The Data Analytics SME will work directly with a Cleary instructional designer throughout the term of the contract project, including the following time commitments and potential compensation:
  • Participate in a weekly meeting with an instructional designer to discuss program and course development progress (ranging from 6 to 8 weeks per course, with each meeting of 30 to 60 minutes duration).
  • Research, develop, or revise course materials (ranging from 3 to 5 hours each week).
  • Participate in consultation with leadership and faculty (ranging 1 to 2 hours total).
  • Potential Compensation (depends on the SME contract specifics)
    • Design and develop content for a course is $800 per course
Qualifications and Required Skills
  • An earned master’s degree from an institutionally (i.e., regionally) accredited institution in data analytics, statistics, or a closely-related discipline.
  • A minimum of five years of current and relevant professional experience in data analytics.
  • A minimum of one year teaching experience teaching undergraduate data analytics courses at the university/college level.
  • Ability to use Microsoft Office, Google Docs, AI models, and other software programs for communicating, creating, and maintaining spreadsheets, reports, and presentations.
  • Ability to embrace The Cleary Mind™ as the University’s approach to building each student’s professional skills required by the workforce and job market.
  • Ability to apply professional experiences to inform and inspire students about workforce projects, situations, and challenges.
Employment Classification: The Data Analytics SME will be a contract employee.
Reports To: Cleary University Provost, with direct working relationship with the Manager of Instructional Design
Available: October 2025
Application Instructions
Visit https://cleary.edu/about-cleary/employment/ to submit an application for the position.
A complete application includes: 1. A separate cover letter that addresses the position responsibilities, required qualifications, and required skills, and 2. A current resume/CV. Candidates moving forward in the interview process may be asked to provide the contact information for three professional references with their e-mails, telephone numbers, and relationships to the candidate.
Diversity
Cleary University is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. Cleary University is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match their skills and capabilities.