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Learning Analytics Remote Jobs (NOW HIRING)

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... of learning analytics applications. The successful candidate will bring strong front-end ...

Engage! Learning, Inc.

Data & Analytics Manager

$85K - $100K/yr

Experience working with learning platform data, student/educator outcome data, or survey analytics ... This is a remote position. * Standard work hours are Monday - Friday, 8 a.m. - 5 p.m. with ...

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How much do learning analytics remote jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for learning analytics remote 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 is a Learning Analytics Remote job?

A Learning Analytics Remote job involves analyzing educational data to improve learning outcomes, all while working from a remote location. Professionals in this role use data analysis tools and techniques to track student engagement, performance, and behavior across digital learning platforms. They help educators and institutions make data-driven decisions to enhance teaching strategies and personalize learning experiences. Remote positions in this field offer flexibility and often require strong analytical, communication, and technical skills.

What are some common challenges faced by professionals in a remote learning analytics role, and how can they be addressed?

Professionals in remote learning analytics often encounter challenges such as ensuring clear communication with stakeholders across different time zones and maintaining data privacy when working with sensitive student information. Additionally, accessing and integrating data from various learning platforms can require strong technical skills and problem-solving abilities. Staying proactive with regular virtual check-ins, utilizing secure data management practices, and leveraging collaborative tools can help address these challenges and foster effective teamwork in a remote environment.

What are the key skills and qualifications needed to thrive as a Learning Analytics professional working remotely, and why are they important?

To excel as a Learning Analytics professional in a remote setting, you need strong analytical skills, a background in education or data science, and experience with quantitative and qualitative research methods. Familiarity with learning management systems (LMS), data visualization tools (like Tableau or Power BI), and programming languages such as Python or R is typically required. Excellent communication, time management, and self-motivation are vital soft skills for collaborating with distributed teams and stakeholders. These skills and qualities are essential for interpreting educational data, providing actionable insights, and driving continuous improvement in remote learning environments.
More about Learning Analytics Remote jobs
What cities are hiring for Learning Analytics Remote jobs? Cities with the most Learning Analytics Remote 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 Remote jobs? States with the most job openings for Learning Analytics Remote jobs include:
What job categories do people searching Learning Analytics Remote jobs look for? The top searched job categories for Learning Analytics Remote jobs are:
Learning Analytics Remote jobs near you
Infographic showing various Learning Analytics Remote job openings in the United States as of July 2026, with employment types broken down into 69% Full Time, 15% Part Time, 8% Temporary, and 8% Contract. Highlights an 8% Hybrid, and 92% Remote job distribution, with an average salary of $82,193 per year, or $39.5 per hour.

Learning Analytics

Office of the Secretary of the Interior

Remote

Part-time

Posted 2 days ago

Job description

Summary
Make an impact while you learn. The Semester of Service Program offers students a volunteer project-based opportunity to support real Federal missions, gaining hands-on experience and valuable career-ready skills. The government-wide "Semester of Service" Student Volunteer Program enables Federal agencies to engage students in unpaid, project-based assignments of limited duration aligning with each agency's strategic priorities.
Learn more about this agency
Duties
Help
Work Schedule and Flexibilities:
  • Student hours: 8-20 hours per week, part-time
  • Total duration: Minimum 90-days, aligned with academic term calendars
  • Remote (100% work off site)

Number of Positions: 1
Preferred Term(s): Fall 2026
This vacancy will be open until Wednesday, July 15th at 11:59pm ET or until 25 applications have been received. The vacancy will close on whichever day the first of these conditions are met. If the application limit is reached on the same day the announcement opened, the open and close date will be the same. Candidates are encouraged to read the entire announcement before submitting their application packages.
The Office of Employee Development (OED) seeks a student volunteer to conduct a Learning Analytics Maturity Scan to assess the current state of evaluation practices and reporting capabilities across programs. This project addresses a short-term capacity gap during organizational realignment by providing a clear, evidence-based understanding of what data exists, how it is used, and where gaps limit decision-making.
The student will review existing data sources, current evaluation practices, and reporting workflows to assess alignment with established frameworks such as the Kirkpatrick Model and ROI-based evaluation principles. The student will identify strengths, gaps, and inconsistencies in how training effectiveness is measured and reported across OED.
Using a structured diagnostic approach, the student will develop a maturity model (e.g., foundational ? developing ? defined ? optimized) and assess OED's current state across key domains such as data quality, integration, governance, and use of evaluation analytics for decision-making. The final product will provide actionable recommendations to improve data reliability, evaluation reporting consistency, and alignment to organizational priorities.
Deliverables:
  • Learning Evaluation Maturity Assessment (current state across defined domains)
  • Data source inventory and evaluation practice review
  • Gap analysis identifying key risks and limitations
  • Maturity model framework with defined levels and criteria
  • Executive summary with prioritized recommendations for improvement

The government-wide "Semester of Service" Student Volunteer Program, as authorized under 5 U.S.C §31114 and 5 CFR Part 3085, enables Federal agencies to engage students in unpaid, project-based assignments of limited duration. These assignments are designed to align with each agency's strategic priorities, offering participants practical experience within Federal operations while supporting the advancement of targeted initiatives.
Requirements
Help
Conditions of employment
  • Must be a U.S. Citizen or U.S National studying in the U.S. or abroad. Note: Any remote work must be completed domestically within the United States.
  • Be enrolled not less than half-time in an accredited educational institution (at least Bachelor's degree or above) throughout the 90 day Semester of Service opportunity. Students graduating before December 1, 2026 are not eligible.
  • Qualifying educational institutions must be located within the United States.
  • Be in good academic standing as defined by your institution.
  • Commit to volunteering 8 - 20 hours per week for a minimum of 90 days.
  • Complete all required onboarding documentation assigned by the Department of the Interior and your academic institution.
  • Agree to volunteer. This position is unpaid. No compensation, stipends, or hiring preference will be granted from this work. You may use this volunteer experience to qualify for future jobs you choose to apply for.
  • Agree to understanding volunteers are not Federal employees.
  • Not be a current federal employee. Current federal employees can reach out to the contact below to inquire about job detail opportunities.

Qualifications
Applicants will be considered based on their knowledge, skills or abilities related to project needs. Specifically, applicants should:
MS or PhD candidates preferred. BS students with strong data analytics or research experience may be considered.
Required Experience:
  • Coursework or experience in data analytics, research methods, program evaluation, or related field
  • Ability to analyze and synthesize information from multiple data sources
  • Strong written communication and reporting skills
  • Experience organizing and assessing data quality and processes

Preferred (not required):
  • Familiarity with training evaluation frameworks (e.g., Kirkpatrick Model, ROI methodology)
  • Experience with LMS data or survey analysis
  • Basic knowledge of data visualization or reporting tools

Education
To qualify, you must be enrolled not less than half-time in an accredited college, university, or other accredited educational institution (at least Bachelor's degree or above). You also must be in good academic standing as defined by your institution. Attach a copy of your transcripts to your application package for verification.
Additional information
Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
Help
This is an unpaid volunteer experience. Student volunteers are not considered Federal employees for any purpose other than injury compensation and laws related to the Federal Tort Claims Act, and service is not creditable for leave accrual or other employee benefits.
  • Professional experience: Meaningful project work with clear deliverables, regular supervision and federal mentorship.
  • Skill Development: Hands-on application of academic knowledge in real-world Federal operations.
  • Career Exploration: Exposure to Federal missions, workplace culture, and potential career pathways.
  • Protection and support.
    • Coverage under Federal Tort Claims Act
    • Workers' compensation for service-related injuries
    • Structured onboarding and ongoing supervision

Apply