ZipRecruiter

Log In

1

Learning Analytics Jobs in Michigan (NOW HIRING)

Stefanini Group

Machine Learning Engineer

Allen Park, MI · On-site

$61 - $66/hr

Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data ...

New

Stefanini

Machine Learning Engineer

Allen Park, MI

Key ResponsibilitiesUnderstand business requirements and analyze datasets to determine suitable ... J2EE, Logistics, Python, Machine Learning Skills Preferred:AIPGEE, Advance data Migration, API ...

New

Learning Care Group

Learning Architect

Novi, MI · On-site

The successful candidate will have experience in conducting training related analytics/design and ... Develop scalable learning frameworks, standards and governance models across the organization.

Learning Care Group

Learning Architect

Novi, MI · On-site

The successful candidate will have experience in conducting training related analytics/design and ... Develop scalable learning frameworks, standards and governance models across the organization.

next page

Showing results 1-20

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 19, 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

Data Science/ Machine Learning Specialist

Scalence L.L.C.

Allen Park, MI • On-site

Full-time

Posted yesterday

Job description

Job Summary:
Scalence L.L.C. is seeking a Data Science/ Machine Learning Specialist to leverage data science methodologies for predicting and extracting meaningful trends from raw data. The role involves designing and implementing data analysis and machine learning models to support data-driven decision-making.
Responsibilities:
• Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making
• Design and implement data analysis and ML models, hypotheses, algorithms, and experiments
• Apply various analytics techniques to analyze data and uncover meaningful patterns, relationships, and trends
• Design efficient data loading, data augmentation, and data analysis techniques
• Research, study, and stay updated in the domain of data science, machine learning, analytics tools, and techniques
Qualifications:
Required:
• Proficiency in J2EE, Logistics, Python, and Machine Learning
• 5 years of experience in the relevant field
• Bachelor's Degree
• Applicants must be able to work directly for Artech on W2
• Prior work experience at the client or in the client's industry
Preferred:
• Experience with AIPGEE, Advanced Data Migration, API, and Data Management
• Experience in Automotive Supply Chain - Logistics
• Certification Program
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, New Jersey, US, , with a team of 501-1000 employees. The company is currently Late Stage.

Apply