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Learning Analytics Internship Jobs (NOW HIRING)

... interns, or postdoctoral researchers as appropriate. • Support grant writing, proposal ... AI/ML, HCI, educational data mining, learning analytics, psychometrics, or assessment technology ...

Intern

Garden City, KS · On-site

$16 - $23.63/hr

... analytics. Internship opportunities are available in a variety of specialty areas throughout the CommonSpirit system. Job Requirements In addition to bringing humankindness to the workplace each day ...

Intern

Garden City, KS

$13 - $17.25/hr

... analytics. Internship opportunities are available in a variety of specialty areas throughout the CommonSpirit system. In addition to bringing humankindness to the workplace each day, qualified ...

Intern

Garden City, KS

$16 - $23.63/hr

... analytics. Internship opportunities are available in a variety of specialty areas throughout the CommonSpirit system. Job Requirements In addition to bringing humankindness to the workplace each day ...

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Learning Analytics Internship information

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How much do learning analytics internship jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for learning analytics internship in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is a Learning Analytics Internship?

A Learning Analytics Internship is a temporary position where students or recent graduates work with educational data to analyze and improve learning outcomes. Interns typically collect, process, and interpret data from educational platforms or classrooms to identify patterns and provide insights for educators or administrators. This role often involves using data analysis tools and working closely with instructional designers or educational researchers. The internship provides hands-on experience in the field of educational data science and helps interns build skills in research, analytics, and educational technology.

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

To thrive as a Learning Analytics Intern, you need a solid background in data analysis, statistics, and educational theory, often supported by coursework in data science or education technology. Proficiency with data visualization tools (like Tableau), statistical software (such as R or Python), and familiarity with learning management systems (LMS) is typically required. Strong communication, problem-solving abilities, and attention to detail help you translate data insights into actionable recommendations for educational improvement. These skills are crucial for effectively leveraging data to enhance learning outcomes and support evidence-based decision-making in educational environments.

Is 30 dollars an hour good for an internship?

For a Learning Analytics Internship, earning $30 an hour is considered above average, as many internships pay between minimum wage and $20 per hour. However, pay rates vary based on location, industry, and the intern's skills, and some internships may offer additional benefits or stipends instead of hourly wages.

What is the difference between Learning Analytics Internship vs Data Analyst Internship?

AspectLearning Analytics InternshipData Analyst Internship
Required CredentialsRelevant coursework in education, data analysis, or related fields; basic technical skillsDegree in statistics, mathematics, or related fields; proficiency in data tools
Work EnvironmentEducational institutions, e-learning companies, or edtech startupsVarious industries including finance, healthcare, marketing, and tech
Employer & Industry UsageFocus on improving learning outcomes and educational dataAnalyzing data to support business decisions across sectors

Learning Analytics Internships primarily focus on analyzing educational data to enhance learning experiences, often within educational or edtech organizations. Data Analyst Internships have a broader scope, applying data analysis skills across multiple industries. While both roles require analytical skills and some technical knowledge, Learning Analytics Interns typically work in educational settings, whereas Data Analyst Interns may work in diverse sectors.

What are the big 4 internships?

The 'Big 4' internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as consulting, audit, tax, and advisory, providing valuable experience for students pursuing careers in accounting, finance, and consulting. For a Learning Analytics Internship, gaining experience in data analysis tools and understanding business processes can be beneficial during these competitive programs.

What types of projects can I expect to work on during a Learning Analytics Internship?

As a Learning Analytics Intern, you can expect to work on projects that involve collecting, analyzing, and interpreting data related to student learning and educational outcomes. Typical tasks may include designing dashboards to visualize learning trends, conducting data cleaning and preparation, and supporting the evaluation of digital learning tools. You may also collaborate with instructional designers, data scientists, and educators to identify actionable insights that can improve teaching strategies or learner engagement. This hands-on experience provides valuable exposure to both educational technology and data analytics, preparing you for future roles in the field.

How to get an internship in data analytics?

To secure a data analytics internship, candidates should develop skills in data analysis tools like Excel, SQL, and Python, and build a portfolio of relevant projects. Gaining familiarity with data visualization software such as Tableau or Power BI and obtaining certifications can improve prospects. Applying through company career portals, networking, and demonstrating analytical problem-solving are key steps.

Is 40 too late for data science?

Learning Analytics internships often seek candidates with strong analytical skills and familiarity with tools like SQL and Python. Age is not a barrier; many professionals transition into data science later in their careers by gaining relevant skills through courses and self-study.
More about Learning Analytics Internship jobs
What cities are hiring for Learning Analytics Internship jobs? Cities with the most Learning Analytics Internship 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 Internship jobs? States with the most job openings for Learning Analytics Internship jobs include:
Infographic showing various Learning Analytics Internship job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.
Learning Analytics Specialist

$70K - $72K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Give. Do. Love. Serve. From One’s Own Abundance. 


Position Details:

  • Salary Range: $70,304 - $72,000 annually
  • Full-Time, Exempt 
  • On-site in Hayward, CA  (possibility of a hybrid work arrangement subject to approval and operational needs)

Position Overview
The Learning Analytics Specialist supports the collection, validation, analysis, and reporting of learning and clinical education data across Health Center, Learning Management System (LMS), Student Information System (SIS), and related systems. This role helps produce dashboards, reports, and validated metrics that inform student learning, progression, retention, completion, accreditation, and instructional effectiveness. Working closely with Institutional Research, Health Center Compliance, and Educational Technology, the position translates complex educational data into clear, actionable insights for faculty and institutional leadership.
Job Responsibilities

Learning Analytics, Data Integration, and Quality Management

  • Work with the Health Center Compliance Officer, Educational Technology Manager, OIRA, Academic Affairs, Health Center leadership, faculty, and other campus partners on basic learning analytics projects.
  • Help build, maintain, check, and improve dashboards, datasets, and reports from the LMS, SIS, Health Center systems, surveys, and other educational tools.
  • Check data for accuracy by reviewing, fixing, and cleaning information to ensure consistent and reliable reporting on student learning, engagement, clinical education, and progression.
  • Keep simple documentation for data and reports, including definitions, basic tracking notes, and updates needed for dashboards and recurring reports.
  • Flag issues or gaps in data systems and suggest improvements to help make reports more accurate and easier to use.

Student Progression, Retention, and Learning Success Analytics

  • Help review student data to identify trends in progress, course engagement, clinical milestones, academic risk, retention, completion, and readiness for key program steps.
  • Assist with group and program-level reporting to support decisions about student success, learning outcomes, and academic support needs.
  • Support early-alert and student success efforts by tracking basic indicators, identifying patterns, and helping evaluate support services.
  • Help support students who may be considering withdrawal or who are experiencing academic or clinical challenges, in coordination with appropriate staff.

Dashboards, Reporting, and Decision-Support Products

  • Help create and maintain dashboards, routine reports, and simple decision-support tools for leadership, faculty, student support teams, and institutional effectiveness staff.
  • Run regular and on-demand reports to answer questions related to academics, clinical education, accreditation, and student success, ensuring results are accurate and repeatable.
  • Prepare clear summaries, basic visuals, and short presentations that explain findings, limitations, and key takeaways for both technical and non-technical audiences.
  • Support the use of institutional data for reporting, planning, accreditation, program review, and internal decision-making.

Teaching, Learning, Clinical Education, and Course Improvement Analytics

  • Review basic LMS data, course activity, assessment results, and clinical education information to help support teaching and learning improvement.
  • Work with faculty and staff to turn learning data into simple insights that can be used to improve courses, clinical training, and student support.
  • Provide basic analysis for key courses, clinical experiences, and program-level outcomes that support student success and accreditation needs.
  • Help faculty and staff understand what the data shows, including what it can and cannot tell us, and promote responsible use of student information.

Qualifications

  • Bachelor’s degree in data analytics, statistics, information systems, computer science, education, psychology, or a related field.
  • 1+ year of experience in data analysis, reporting, institutional research, educational technology, or a related area (including internships, assistantships, or project-based work).
  • Basic ability to collect, clean, analyze, and communicate data clearly and accurately.
  • Strong organizational skills with the ability to manage multiple tasks and meet deadlines.
  • Ability to work collaboratively with individuals across technical and non-technical teams.
  • Strong attention to detail and commitment to data accuracy and confidentiality.
  • Ability to interpret data trends and present findings in clear, understandable language.
  • Familiarity with surveys, dashboards, or reporting tools is a plus.

Preferred Skills & Education

  • 2+ years of related experience in institutional research, data analysis, or student success analytics.
  • Experience in higher education or a student-facing environment.
  • Familiarity with tools such as Excel, SQL, R, Python, SPSS, Tableau, Power BI, or similar platforms.
  • Experience with survey tools (e.g., Qualtrics) and/or learning management systems (Canvas, Blackboard, Brightspace).
  • Exposure to student success metrics such as retention, progression, completion, or engagement.
  • Experience translating data into reports or presentations for non-technical audiences.
  • Understanding of data governance, documentation, and privacy best practices.

Employee Benefits

  • Free Chiropractic Care for Employees (Discounted Care for Immediate Family Members) 
  • Paid Vacation Time, Personal Days, and Sick Time 
  • 14 Paid Holidays 
  • Merchandise Discount in Bookstore 
  • Engaging and Inclusive Environment
  • Paid community service such as local events, fundraisers, and volunteering opportunities
  • Medical, dental, vision, and life insurance benefits (After 30 days of employment)
  • 401(k) Plan (After 30 days of employment)
  • Flexible Spending Account 
  • Employee Assistance Program 
  • Paid Short Term and Long Term Disability

About Us

  • At its core, Life West empowers transformation by offering its students a path to help create a brighter future for humanity with the Doctor of Chiropractor (DC) degree.
  • In March 1981, through the efforts of Dr. George Anderson, Dr. George Wentland, and Dr. Sid E. Williams, president and founder of Life Chiropractic College, an agreement was reached between Life Chiropractic College and Pacific States Chiropractic College. As a result, the college was renamed Life Chiropractic College West.
  • Life West is proud of its history and legacy of producing happy and successful alumni who practice around the world.
  • Build a campus culture that embraces diversity and inclusion
  • Develop a culture of service within and outside of the college
  • Improve institutional effectiveness through constant innovation and assessment
  • To learn more about Life Chiropractic College West and our mission, please visit our website: https://lifewest.edu/about


Life Chiropractic College West values diversity in our college and workplace. Our company provides equal opportunity for employment to qualified applicants on the basis of experience and the ability to do the available work, without regard to race, religion, color, age, sex/gender, sexual orientation, national origin, gender identity, disability, marital status, veteran status, genetic information, ancestry or any other status protected by law. LCCW  is also committed to compliance with all fair employment practices regarding citizenship and immigration status.