Über
Augusta University is Georgias innovation center for education and health care, training the next generation of innovators, leaders, and healthcare providers. The Data Analyst (Learning Analytics) will design, produce, and communicate analyses to support strategic priorities for student success and excellence in teaching and instruction, synthesizing data across various systems to create validated metrics and dashboards.
Responsibilities : • Develop and maintain reliable data pipelines and extracts from SIS, LMS, and other relevant data sources (Slate CRM, course evaluations, other instructional platforms, etc.) • 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. • 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. • Build and maintain dashboards and recurring reports for academic leaders, program directors, success student 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. • Analyze LMS engagement, assessment patterns, course design signals, and learning outcomes to support excellence in teaching and instruction including complementary LTI platforms utilized within the LMS platform. • 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. • 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 tradeoffs. • Provide basic enablement (job aids, short demonstrations, office hours) to improve data literacy and consistent interpretation of metrics. • 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.
Qualifications : Required : • Bachelors degree from an accredited college or university in data analytics, statistics, information systems, computer science, economics, educational research, or a closely related field • A minimum of three years of progressively responsible experience performing data analysis, reporting, and dashboard development • At least one year of relevant experience within a higher education environment
Preferred : • Masters degree from an accredited college or university in analytics, statistics, educational research, data science, higher education administration, or related discipline • Direct experience in higher education analytics, including familiarity with student lifecycle metrics (retention, progression, completion, time-to-degree), learning analytics, and program performance indicators • Experience working with SIS, LMS, and other instructional education platforms¿ data structures and reporting tools, including course modality analysis and learning analytics workflows • Experience evaluating student success interventions (quasi-experimental thinking, comparison groups where appropriate, and practical impact measurement) • Familiarity with data governance practices (data dictionaries, metric catalogs, documentation standards, access controls) and building repeatable pipelines • Demonstrated ability to support excellence in teaching and instruction through course-level analytics, learning outcomes measurement, and faculty-facing reporting designed for action
Company :
Please follow https://www.linkedin.com/school/augusta-university, for the latest information on Augusta University. Founded in 1828, the company is headquartered in Augusta, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
Sprachkenntnisse
- English
Hinweis für Nutzer
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