1

Learning Analytics Internship Jobs in Milton, MA

AI Annotator Intern

Sudbury, MA · On-site

$15.75 - $21/hr

Job Type Internship Description You will work with an experienced engineering team working on ... analysis. The candidates will have an opportunity to contribute to several key AI projects and ...

Internship Program

Boston, MA · On-site

$15 - $20/hr

You will be working alongside a supervisor and team helping you in the process of learning the ins ... Jobs such as human resources, and operations analyst are an example of what our operations team is ...

Showing results 41-60

Learning Analytics Internship information

See Milton, MA salary details

$9

$18

$26

How much do learning analytics internship jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for learning analytics internship in Milton, MA is $18.47, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $20.87 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?

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 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 job categories do people searching Learning Analytics Internship jobs in Milton, MA look for?

The top searched job categories for Learning Analytics Internship jobs in Milton, MA are:

What cities near Milton, MA are hiring for Learning Analytics Internship jobs?

Cities near Milton, MA with the most Learning Analytics Internship job openings:

Product Engineering Internship, Simulation and Verification (Fall 2026)

Cadence

Burlington, MA • On-site

$35 - $55/hr

Full-time

Re-posted 2 days ago


Job description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Product Engineering Internship, Simulation and Verification (Fall 2026)

This PE Internship will be based out of our Burlington office during the Fall Semester. Applicants should be local to the area in order to be available onsite.

Responsibilities:

  • As a Product Engineering intern, you will get the opportunity to work on the simulation and verification-validation testing of high-speed digital systems.
  • Simulate PCBs and packages in commercial 2.5D electromagnetics simulators to extract models and subsequently, impedance profiles; perform time domain analysis
  • Provide feedback to developers on simulation tool usage

Requirements:

  • Currently enrolled as student pursuing MSEE or equivalent
  • Experience or course work in electromagnetics, optimization, signal processing and system analysis, and channel theory or associated courses.
  • Experience using signal integrity analysis and extraction tools (Cadence Sigrity, ADS, HFSS)
  • Interest, or have experience in machine learning is a plus.
  • Must be available to work onsite in Burlington office 40 hours a week. This role is not remote.

The hourly range for Masachusetts is $35 to $55 per hour. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Please note that the hourly range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location.

We're doing work that matters. Help us solve what others can't.