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From Home Learning Analytics Jobs (NOW HIRING)

Provide analytics tailored to the AUTLC's specific questions and goals, and other stakeholders, as appropriate. * Deliver findings through effective visualizations as well as narrative summaries and ...

... from the start. * Identify trends and patterns across the partner portfolio that reveal ... Experience working with learning platform data, student/educator outcome data, or survey analytics.

Learning Technology & Analytics Specialist © 2026 Loenbro │ loenbro.com 1 Job Title: Learning ... We have a national presence but a local approach-every customer benefits from our capabilities and ...

Learning Technology & Analytics Specialist 2026 Loenbro loenbro.com 1 Job Title: Learning ... We have a national presence but a local approach-every customer benefits from our capabilities and ...

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From Home Learning Analytics information

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$60.5K

$123.8K

$175K

How much do from home learning analytics jobs pay per year?

As of Jul 8, 2026, the average yearly pay for from home learning analytics in the United States is $123,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $153,500.00 per year, depending on experience, location, and employer.

What is the difference between From Home Learning Analytics vs From Home Education Data Analyst?

AspectFrom Home Learning AnalyticsFrom Home Education Data Analyst
CredentialsBachelor's in Education, Data Science, or related fieldsBachelor's or Master's in Education, Data Analysis, or Statistics
Work EnvironmentRemote, educational institutions, e-learning platformsRemote, schools, educational organizations, edtech companies
Industry UsagePrimarily in online learning and educational technologyAcross education sectors analyzing student data and learning outcomes

From Home Learning Analytics focuses on analyzing online learning data to improve educational experiences, while From Home Education Data Analyst involves broader data analysis tasks within educational settings. Both roles require similar skills and credentials but differ slightly in scope and application.

More about From Home Learning Analytics jobs
What cities are hiring for From Home Learning Analytics jobs? Cities with the most From Home 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 From Home Learning Analytics jobs? States with the most job openings for From Home Learning Analytics jobs include:
Learning Analytics Specialist

Learning Analytics Specialist

The University Of Iowa

Iowa City, IA • Hybrid

Other

Posted 22 days ago


University Of Iowa rating

6.8

Company rating: 6.8 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

417th of 546 rated colleges and universities


Job 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.

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.

Additional Information
  • Classification Title: Snr Business Intel Analyst
  • Appointment Type: Professional and Scientific
  • Schedule: Full-time
  • Work Modality Options: On Campus, Hybrid within Iowa
Compensation
  • Pay Level: 4B
Contact Information
  • Organization: Information Technology Services
  • Contact Name: Melanie Bell
  • Contact Email: melanie-bell@uiowa.edu

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