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Learning Analytics Internship Jobs (NOW HIRING)

Reveleer

Applied Analytics Intern

Auburn, AL · On-site

$25/hr

Reveleer's Applied Analytics Internship Program is designed as a two-summer experience designed for ... Exposure to statistics, experimentation, or basic machine learning concepts * Ability to translate ...

Reveleer

Applied Analytics Intern

New Albany, OH

$25/hr

Reveleer's Applied Analytics Internship Program is designed as a two-summer experience designed for ... Exposure to statistics, experimentation, or basic machine learning concepts * Ability to translate ...

reveleer

Applied Analytics Intern

Auburn, AL · On-site

$25/hr

Reveleer's Applied Analytics Internship Program is designed as a two-summer experience designed for ... Exposure to statistics, experimentation, or basic machine learning concepts * Ability to translate ...

Reveleer

Applied Analytics Intern

New Albany, OH · On-site

$25/hr

Reveleer's Applied Analytics Internship Program is designed as a two-summer experience designed for ... Exposure to statistics, experimentation, or basic machine learning concepts * Ability to translate ...

SoarTech

Training Analyst Internship

Ann Arbor, MI · On-site

This internship will work across both product and program teams, contributing to training science ... Interest in training science, learning analytics, or educational technology. * Curiosity about AI ...

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Learning Analytics Internship information

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How much do learning analytics internship jobs pay per hour?

As of Jun 1, 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 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.

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.

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 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.

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:
What job categories do people searching Learning Analytics Internship jobs look for? The top searched job categories for Learning Analytics Internship jobs are:
Learning Analytics Internship jobs near you
Infographic showing various Learning Analytics Internship job openings in the United States as of May 2026, with employment types broken down into 8% Internship, 42% Full Time, 24% Part Time, 8% Temporary, and 18% Contract. Highlights an 62% Physical, 10% Hybrid, and 28% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA

Full-time

Posted 27 days ago

Job description

Position Overview
We are seeking an undergraduate student to support our Finance and IT teams with a focus on data analysis and quantitative problem-solving. This internship provides hands-on experience working with financial datasets, basic modeling, and tools used in data-driven decision-making.
We welcome candidates from analytical and cross-disciplinary backgrounds—including mathematics, applied mathematics, statistics, economics, engineering, computer science, physics, astrophysics, quantum computing, biotech and other data-driven fields—who are interested in applying quantitative thinking to real-world business and financial problems.
Key Responsibilities
  • Work with structured datasets to support basic financial and operational analysis 
  • Assist in organizing, cleaning, and validating data for reporting and modeling 
  • Build and maintain spreadsheets and simple analytical models in Excel 
  • Support development of reports, dashboards, and visualizations 
  • Identify patterns, inconsistencies, or trends in data 
  • Assist with automation or efficiency improvements using tools like Excel, SQL, or Python (where applicable) 
  • Collaborate with team members on data, finance, and technology-related tasks 
  • Apply quantitative or analytical approaches from coursework to practical business problems 
Required Qualifications
  • Currently pursuing a Bachelor’s degree in a quantitative or analytical field (e.g., Mathematics, Applied Mathematics, Physics, Astrophysics, Statistics, Economics, Computer Science, Quantum Computing, Engineering, Finance, Biotech, or other data-driven discipline) 
  • Strong problem-solving and analytical thinking skills 
  • Familiarity with: 
    • Microsoft Excel (formulas, basic functions) 
    • Microsoft Office (Word, PowerPoint) 
  • Comfort working with numbers and structured data 
  • Strong attention to detail and willingness to learn 
Preferred Qualifications
  • Exposure to programming or data tools (Python, SQL, R, or similar) through coursework or projects 
  • Experience with Excel functions (e.g., VLOOKUP, pivot tables) 
  • Introductory knowledge of statistics, probability, or data analysis 
  • Interest in financial markets, data analytics, or fintech 
  • Coursework or projects involving: 
    • Data analysis or visualization
  • Mathematical modeling 
  • Machine learning (introductory) 
  • Computational or applied problem-solving 
What You’ll Gain
  • Hands-on experience applying quantitative skills in a real-world business environment 
  • Exposure to financial data, analytics workflows, and decision-making processes 
  • Opportunity to build foundational data and modeling skills 
  • Mentorship and professional development 
  • Insight into career paths in quantitative finance, data science, and analytics 
Internship Details
  • Summer 2026, with possible extensionÂ