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Learning Analytics Jobs in Michigan (NOW HIRING)

Denso

Director- Data Analytics and AI

Southfield, MI · On-site

$181K - $226K/yr

Lead development and deployment of advanced analytics, machine learning, and AI use cases. * Establish scalable data platforms, analytics products, and AI pipelines in collaboration with cloud, data ...

Varsity Tutors

Business Analytics Tutor

Ann Arbor, MI · Remote

$40/hr

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 ...

Varsity Tutors

Business Analytics Tutor

Detroit, MI · Remote

$40/hr

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 ...

Varsity Tutors

Business Analytics Tutor

Kalamazoo, MI · Remote

$40/hr

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 ...

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All JobsLearning Analytics JobsLearning Analytics Jobs in Michigan

Learning Analytics information

See Michigan salary details

$19

$34

$53

How much do learning analytics jobs pay per hour?

As of Jun 21, 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 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 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 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 4 types of learning analytics?

Learning analytics can be categorized into four types: descriptive analytics, which analyze past learning data; diagnostic analytics, which identify reasons for learning outcomes; predictive analytics, which forecast future performance; and prescriptive analytics, which recommend actions to improve learning. These types help educators and analysts understand and enhance educational experiences using data analysis tools and techniques.

Is AI replacing data analysts?

Learning Analytics professionals analyze educational data to improve learning outcomes and often use AI tools to automate data processing and generate insights. While AI can handle routine tasks, data analysts are still essential for interpreting complex data, making strategic decisions, and ensuring data quality. AI complements their work but does not fully replace the need for skilled analysts in the field.

Is 40 too late for data science?

Learning Analytics is a field that values skills and experience over age; many professionals transition into data science at 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Age should not be a barrier to entering data-driven roles if you focus on continuous learning and building a strong portfolio.

What does a learning analyst do?

A learning analyst evaluates educational data to improve learning outcomes by analyzing student performance, engagement, and instructional effectiveness. They use data analysis tools and techniques to identify trends and recommend strategies for curriculum development, often working with learning management systems and reporting software.
What are the most commonly searched types of Learning Analytics jobs in Michigan? The most popular types of Learning Analytics jobs in Michigan are:
What are popular job titles related to Learning Analytics jobs in Michigan? For Learning Analytics jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Learning Analytics jobs in Michigan look for? The top searched job categories for Learning Analytics jobs in Michigan are:
Learning Analytics jobs near you

Manager - Deep Learning and Driving Behavior Modeling

Astemo

Farmington Hills, MI

Full-time

Posted 29 days ago

Job description

Company Name:

ASTEMO AMERICAS, INC.

Job Family:

Engineering

Job Description:

Summary:

Astemo Americas, Inc. is looking for M.Sc./Ph.D. degree holders in Mechanical/Electrical/Computer Science/Robotics or related engineering field to join our Advanced Technology Development Department as a Manager to contribute for the development of advanced deep learning techniques for driving behavior modeling to bring new values in the areas of Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD). The position will require sound knowledge on image processing, Generative AI, Vision Language Model, sensors, and algorithms used in AD/ADAS. The position requires the manager to develop and lead an advanced AI team, plan and execute advanced development projects, manage resources and budget, etc. together with good communication and written skills.

Job Duties:

  • The candidate will work in close collaboration with teams in Japan and other departments in the USA
  • Ideate new concepts, create plan and execute strategies, make test and validation scenarios, design experimental and analytical processes to bring new values in ADAS and automated driving systems
  • The candidate should have the ability to perform complex system analysis with a high level of analytical ability
  • The candidate should have the ability to troubleshoot complex issues in a timely and effective manner
  • Publish technical papers, patents, and present Astemo's innovative technologies at conferences and seminars.

Qualifications:

  • Knowledge of Automated Driving (AD) System is required
  • Experience in developing large foundation models/vision language models is preferred
  • Experience in developing end-to-end architecture for AD/robotics is preferred
  • Strong programming skills in C++ and/or Python are required
  • Proficiency with deep learning frameworks is required
  • Experience with AD/Advanced Driver Assistance Systems (ADAS)/autonomous robotics systems development using multi sensor fusion and embedded system is a plus
  • Knowledge of cloud computing is a plus
  • Experience in Human Machine Interface system development is a plus
  • Ability to work independently with minimal direction is required

Education: MSc degree in mechanical/electrical/computer science/Robotics or in a related engineering field. PhD is preferred

Experience: Minimum of 6+ years of relevant industrial experience is required

Job level is determined by various factors such as organization size, responsibility, career stage, and capabilities.

Supervisory Responsibilities: Leading, building and mentoring the efforts of engineers who are responsible for sub-project activities.

Working conditions:

Physical Demands: Required to sit or stand for long periods of time. The employee may occasionally lift and/or move up to 25 pounds.

Travel: Domestic and international may be required as needed. The candidate will occasionally need to travel to multiple global locations to support project development.

Equal Opportunity Employer (EOE) - Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender, identity, disability, protected veteran status and national origin.

At Astemo, we're challenging the status quo with the power of diversity, inclusion, and collaboration. Our goal is to build an inclusive work environment that celebrates the differences of our employees. We want to ensure that every employee feels valued, respected and empowered. We don't just accept difference-we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community. Astemo is proud to be an equal opportunity employer.

If you need a reasonable accommodation to apply for a job at Astemo, please send the nature of the request and contact information to am-jobs@hitachiastemo.com when applying for the position.

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