Data Analyst - Learning Analytics

Job Summary

Serve as a data analyst (Learning Analytics) who designs, produces, and communicates analyses to support strategic priorities for student success (retention, timely progression, graduation rates) and excellence in teaching and instruction. This position synthesizes data across SIS, LMS, and related systems to create validated metrics, dashboards, and analytic products that inform academic and operational decisions at the course, program, and institutional levels, with an initial emphasis on fully at‑distance managed online courses and undergraduate core curriculum.

• Data Acquisition, Integration, and Quality Management:
  • Develop and maintain reliable data pipelines and extracts from SIS, LMS, and other relevant data sources (Slate CRM, course evaluations, other instructional platforms).
  • Perform data validation, reconciliation, and documentation to ensure consistent definitions for key metrics (retention, progression, DFW, course engagement, completion, time‑to‑degree, course design).
  • Maintain data dictionaries, metric definitions, and reporting logic to support repeatable analysis and reduce rework.
• Retention, Progression, and Graduation Analytics:
  • Produce analyses that identify leading indicators of stop‑out risk and delayed progression for degree‑seeking students.
  • Conduct cohort and pathway analyses (first‑year, transfer, online, gateway/core, program‑level) and surface fair relevant patterns for responsible decision‑making.
  • Support early‑alert and student success efforts through evidence‑based segmentation, trend monitoring, and evaluation of intervention reach and outcomes.
• Dashboards, Reporting, and Decision Support Products:
  • Build and maintain dashboards and recurring reports for academic leaders, program directors, student success teams, instructional design, faculty support, and governance bodies.
  • Produce ad‑hoc analyses for high‑priority questions, while ensuring results are replicable and methodologically sound.
  • Develop concise executive summaries that clearly state findings, limitations, and practical implications.
• Teaching, Learning, and Core Curriculum Analytics:
  • Analyze LMS engagement, assessment patterns, course design signals, and learning outcomes to support excellence in teaching and instruction including complementary LTI platforms within the LMS.
  • Provide targeted analytics for graduate programs, undergraduate core curriculum and other high‑enrollment requirements, emphasizing actionable insights for course improvement and student support.
  • Partner with instructional support units to translate findings into practical, faculty‑usable feedback loops.
• Stakeholder Consultation, Communication, and Enablement:
  • Facilitate requirements gathering with stakeholders to define the right questions, metrics, and success criteria before analysis begins.
  • Present findings in accessible, jargon‑light formats for various audiences (faculty, staff, leadership), including recommendations and trade‑offs.
  • Provide basic enablement (job aids, short demonstrations, office hours) to improve data literacy and consistent interpretation of metrics.
• Continuous Improvement, Governance Alignment, and Special Projects:
  • Contribute to institutional data governance practices (definitions, access patterns, documentation, auditability, privacy‑minded workflows).
  • Participate in special analytic initiatives tied to strategic plans, accreditation evidence, program review, or new student success interventions.
• Perform other duties as assigned.

Bachelor's degree from an accredited college or university in data analytics, statistics, information systems, computer science, economics, educational research, or a closely related field and a minimum of three years of progressively responsible experience performing data analysis, reporting, and dashboard development with at least one year of relevant experience within a higher education environment.

• Master's degree from an accredited college or university in analytics, statistics, educational research, data science, higher education administration, or a related discipline.
• Direct experience in higher education analytics,…