OCCUVISTA
Home›Categories›Education Technology›Learning Analytics Specialist

Learning Analytics Specialist

Analysing learner data to surface insight that improves educational outcomes

Also known as:Learning Analytics AnalystLearning Data AnalystEducational Data AnalystAcademic Analytics SpecialistLMS Data Analyst
Emerging

Learning Analytics Specialist Salary

United Kingdom

£38,000 – £68,000

United States

$65,000 – $110,000

Varies by location, sector, and experience. Last updated: 2025.

What Is a Learning Analytics Specialist?

A Learning Analytics Specialist collects, analyses, and interprets data generated by learners interacting with educational technology platforms, courses, and programmes. The role applies data analysis and visualisation skills to learning-specific data — completion rates, assessment scores, engagement patterns, time-on-task, and progression metrics — with the goal of producing insights that improve programme design, learner support, and institutional decision-making.

What distinguishes this role from a general data analyst is domain focus: Learning Analytics Specialists understand how learning systems generate data, how xAPI and SCORM reporting work within LMS environments, and how to interpret learner behaviour meaningfully rather than purely statistically. The role exists in universities, corporate L&D teams, edtech companies, and government training organisations, and sits at the intersection of data practice, educational research, and technology operations. Practitioners increasingly contribute to predictive modelling for at-risk learner identification and personalised learning pathway optimisation.

What Does a Learning Analytics Specialist Do?

  • Extract and analyse learner engagement, completion, and assessment data from LMS platforms and xAPI-compliant systems
  • Build dashboards and visualisations that surface learning performance trends for programme managers and institutional stakeholders
  • Identify patterns in learner behaviour that indicate programme design issues, accessibility barriers, or support intervention needs
  • Collaborate with Instructional Designers and Learning Experience Designers to translate data findings into programme improvements
  • Develop predictive models to identify learners at risk of disengagement or non-completion
  • Maintain data governance standards for learner data, ensuring compliance with privacy regulation across all analytics activity

Learning Analytics Specialist Skills

Hard Skills

  • Data Analysis
  • SQL
  • Statistical Modelling
  • Reporting and Visualisation
  • Data Pipeline Orchestration
  • Learning Management Systems
  • Data Quality Management
  • Data Governance
  • Python
  • Machine Learning

Soft Skills

  • Analytical RigourInterpreting learner behaviour meaningfully, not just statistically
  • Attention to DetailData governance and privacy compliance across learner records
  • CommunicationTranslating engagement data for programme managers and institutional leaders
  • CollaborationBridging data findings to instructional and experience design decisions
  • ObjectivityImpartial assessment of programme performance and learner engagement patterns
  • CuriosityProbing completion, assessment, and time-on-task data for actionable signals

Learning Analytics Specialist Tools & Software

MoodleCanvas LMSPower BITableauGoogle AnalyticsPostgreSQLJupyter NotebookdbtGit

How to Become a Learning Analytics Specialist

Typical Route

Most Learning Analytics Specialists hold a bachelor's degree in Data Science, Statistics, Computer Science, or Educational Research. A master's degree — an MS in Learning Analytics, MS in Data Science, or MEd in Educational Research with quantitative methods — is common and increasingly expected in higher education contexts. Programs at Columbia University's Teachers College, the University of Michigan School of Information, and Carnegie Mellon's Human-Computer Interaction Institute offer relevant graduate-level training. Many practitioners enter from institutional research, data analysis, or educational psychology roles.

Alternative Route

Google's Data Analytics Professional Certificate and the Microsoft Power BI certification are the most widely used technical credentials for practitioners entering learning analytics. Coursera's IBM Data Analyst Professional Certificate and edX's Data Science programs provide structured skill development. Learning analytics-specific training is available through the Society for Learning Analytics Research conferences and EDUCAUSE's professional development resources. A portfolio demonstrating dashboard development, LMS data extraction, and evidence of measurable impact on learning outcomes is the primary hiring credential.

A Day in the Life of a Learning Analytics Specialist

Morning

Extract completion and assessment data from the LMS for last month and identify four courses where pass rates dropped between attempts
Build a Tableau dashboard showing learner progression through a blended induction programme, segmented by department and start date
Write a data interpretation brief for the Instructional Design team explaining why dwell-time on module three is double the estimated duration

Afternoon

Investigate an xAPI anomaly from the compliance training rollout causing completion events to register against wrong learner accounts in the LRS
Run a regression analysis on assessment scores to test whether learners completing optional practice activities perform significantly better on graded tests
Present the quarterly analytics report to the Head of L&D and translate engagement findings into three concrete recommendations for the next programme

Learning Analytics Specialist Career Path

Junior Learning Analytics Analyst

0–2 yrs

→

Learning Analytics Specialist

2–4 yrs

→

Senior Learning Analytics Specialist

4–7 yrs

→

Learning Analytics Lead

7–10 yrs

→

Head of Learning Analytics / Director of Educational Intelligence

10+ yrs

Learning Analytics Specialist Job Outlook

Emerging

Organisations that have accumulated years of LMS data are beginning to invest in roles that can extract actionable insight from it, making this a genuinely emerging specialism rather than an established function. Demand is most visible in larger corporate L&D teams, higher education institutions, and EdTech platform vendors. The talent pool remains narrow, and practitioners who combine learning theory grounding with SQL, Python, or BI tooling are difficult to source. Growth trajectory is clear, but total hiring volume is still limited relative to adjacent roles.

Related Roles