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Learning Analytics Jobs (NOW HIRING)

Lowe's

Learning Analyst - Analytics

Mooresville, NC

Preferred Skills/Education Master's degree in Instructional Design, Learning & Development, Organizational Development, Psychology, Business, Analytics, Statistics, Data Science, Human Resources, or ...

6k Systems

Learning Analyst

Montgomery, AL · On-site

We are looking for a professional, experienced Learning Analyst to join the 6K Team! JOB ... Provide analytics tailored to the AUTLC's specific questions and goals, and other stakeholders, as ...

Clarity Consultants

Learning Analyst

Houston, TX · On-site

$60 - $65/hr

The Learning Analyst will work closely with Subject Matter Experts to translate their input into clear training and competency structures. Key Responsibilities: Learning Analysis and Development ...

IMC

Learning Experience Designer

Chicago, IL

Conduct needs analysis and discovery sessions to identify performance gaps, learning opportunities, and recommend AI-driven learning analytics solutions * Develop a range of learning assets ...

IMC

Learning Experience Designer

Chicago, IL · On-site

Conduct needs analysis and discovery sessions to identify performance gaps, learning opportunities, and recommend AI-driven learning analytics solutions * Develop a range of learning assets ...

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How much do learning analytics jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for learning analytics in the United States is $39.52, according to ZipRecruiter salary data. Most workers in this role earn between $28.85 and $43.27 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.
More about Learning Analytics jobs
What cities are hiring for Learning Analytics jobs? Cities with the most Learning Analytics job openings:
What are the most commonly searched types of Learning Analytics jobs? The most popular types of Learning Analytics jobs are:
What states have the most Learning Analytics jobs? States with the most job openings for Learning Analytics jobs include:
What job categories do people searching Learning Analytics jobs look for? The top searched job categories for Learning Analytics jobs are:
Learning Analytics jobs near you
Infographic showing various Learning Analytics job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 4% Part Time, 4% Temporary, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $82,193 per year, or $39.5 per hour.

Learning Analytics Specialist

University of Iowa Hospitals & Clinics

Iowa City, IA • On-site

Full-time

Posted 10 days ago

University Of Iowa Health Care rating

7.3

Company rating: 7.3 out of 10

Based on 61 frontline employees who took The Breakroom Quiz

293rd of 875 rated healthcare providers

Job description

Description
The Office of Teaching, Learning & Technology is seeking a Learning Analytics Specialist to expand our capacity for learning sciences research and learning analytics projects that support student learning.
The Learning Analytics Specialist will support the instructional mission at the University of Iowa by analyzing institutional and student interaction data from learning technologies including generative AI tools to inform teaching practices, develop and evaluate interventions that promote student success, and support evidence-based decision making.
This role will collaborate with campus partners to develop and assess data-informed instructional support services, conduct research on student learning, and communicate findings to faculty, staff, administrators, and other stakeholders. The Learning Analytics Specialist will provide consultation, training, and user support related to learning analytics tools, dashboards, and services, helping stakeholders interpret data and apply insights to improve teaching and learning.
The ideal candidate will have a strong background in data management, statistical analysis, and learning sciences research, with demonstrated experience using R, Python, and machine learning techniques to transform and analyze complex datasets. The successful candidate will also possess strong communication, consultation, and stakeholder engagement skills, with the ability to translate analytical findings into actionable recommendations and support the adoption of data-informed practices across the university.
This position is eligible for hybrid work within the state of Iowa and will require a work arrangement form to be completed upon the start of your employment. Per policy, work arrangements will be reviewed annually and must comply with the remote work program and related policies and employee travel policy when working at a remote location. There is an expectation that this individual be able to travel to Iowa City a minimum of 3-4 times per year.
This position is not eligible for visa sponsorship for employment.
For a full job description, please email Melanie Bell at melanie-bell@uiowa.edu .
About IT Services:
Our mission is to create a welcoming and supportive work environment where everyone feels empowered to be their authentic selves and share ideas. We are committed to cultivating a welcoming and respectful workforce culture where people of all backgrounds and perspectives are empowered to make a positive impact. We embrace this commitment as mission-critical in everything we do and embed it in hiring, incentive, retention, and career-development practices and initiatives.
Qualifications
Required Qualifications:
  • Master's degree in statistics or a related field, or an equivalent combination of education and additional related experience.
  • Experience (typically 1 year or more) in data analytics projects, including research that incorporates data-informed interventions.
  • Proficiency in R for data management, analysis, and visualization.
  • Proficiency in SQL.
  • Knowledge of various statistical analysis (e.g. descriptive statistics, conductive hypothesis tests, and using multiple linear regression and logistic regression to model outcomes.)
  • Excellent written and verbal communication skills.
  • Excellent interpersonal skills and demonstrated ability to work productively as part of a team.
  • Strong organizational and project management skills, with the ability to coordinate multiple projects and meet deadlines.

Desirable Qualifications:
  • Knowledge of machine learning techniques and algorithms.
  • Knowledge of Unizin Data Platform and Canvas.
  • Knowledge of learning theory and its application in higher education settings.
  • Knowledge of University policies, procedures, and regulations.
  • Knowledge of methods used in educational data mining.
  • Experience with a programming language such as Python.
  • Ph.D. in Educational Evaluation, Statistics, or a related field.

Position and Application details:
In order to be considered for an interview, applicants must upload the following documents and mark them as a "Relevant File" to the submission:
  • Resume
  • Cover Letter

Job openings are posted for a minimum of 7 calendar days and may be removed from posting and filled any time after the original posting period has ended.
Successful candidates will be required to self-disclose any conviction history and will be subject to a criminal background check and credential/education verification. Up to 5 professional references will be requested at a later step in the recruitment process.
For additional questions, please contact Melanie Bell at melanie-bell@uiowa.edu .
There is an expectation that the person in this position will maintain effective, civil, and respectful working relationships with the University of Iowa campus community and uphold a high standard of cultural competency and respect for difference that represents our commitment to a welcoming and respectful work environment.

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