Senior Analytics Engineer

The Education Design and Informatics team within the Office of Health Sciences Education at Vanderbilt University School of Medicine is seeking an experienced Analytics Engineer to join their team. The role involves designing and maintaining curated datasets and data models that support educational analytics, dashboards, and AI-enabled learning tools and predictive analytics across VUSM. The Analytics Engineer will work with a multidisciplinary team to enable predictive modeling, experimentation datasets, and learner-facing insights embedded in digital learning workflows.

Requirements

• Update and optimize VUSM’s cloud-based data architecture to support ongoing scalability, efficiency, and security standards
• Build and maintain processes that support data transformation, workload management, data structures, dependency and metadata
• Support monitoring and alerting processes to ensure uptime of infrastructure
• Identify, design, and implement internal process improvements such as automating manual processes and optimizing data delivery
• Manage and communicate data visualization plans to internal team and stakeholders
• Collaborate with Development team on architectural decisions
• Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues
• Design and maintain curated datasets that support educational analytics, dashboards, and AI feature development
• Develop and improve canonical tables and views representing learners, competencies, curricular experiences, assessments, progression metrics, and other medical education concepts
• Align data models with standard medical education frameworks and ontologies (e.g., AAMC competency frameworks, EPA/milestone mappings) to ensure interoperability and domain relevance
• Maintain comprehensive documentation of key data views and catalog table definitions within Databricks to ensure data transparency, governance, and accessibility across teams
• Build transformation workflows that convert raw data into analysis-ready structures
• Implement version-controlled data transformations using tools such as dbt, SQL-based pipelines and Databricks workflows
• Ensure datasets are reproducible, documented, and auditable
• Monitor data quality, completeness, and consistency across sources
• Build and maintain Power BI dashboards and reporting views used by educational leadership, program administrators, and faculty
• Collaborate with stakeholders to understand analytic needs and to define meaningful visualizations and metrics
• Ensure that dashboards align with institutional competency frameworks and educational goals
• Iteratively refine dashboards and reporting views based on end-user feedback, evolving programmatic needs, and emerging data sources
• Work with the Applied AI Engineer to create feature-ready datasets supporting predictive models and AI applications
• Collaborate with stakeholders in VUIT, VUSM, and VUMC IT to facilitate secure cross-institutional exchange of educational datasets
• Collaborate with software developers to expose analytics datasets to VSTAR and related applications
• Support development of learner-facing insights and faculty analytics embedded in digital learning workflows
• Design and implement intervention signals and early warning indicators to support timely learner support
• Help design experimentation datasets for evaluating educational interventions and AI tools
• Contribute to evaluation frameworks that assess the effectiveness and impact of AI-enabled educational tools and interventions
• Translate educational questions into data models and measurable indicators
• Contribute to Vanderbilt’s broader strategy for precision education, learning analytics, and AI-enabled education
• Maintain clear documentation of data models, transformations, and metrics
• Stay current with evolving approaches to educational analytics, data modeling, and data governance

Benefits

• Generous Paid Time Off
• 401k Matching
• Health, Dental, and Vision Insurance
• Life Insurance
• Long-term Disability Insurance
• Employee Assistance Program
• Paid Family Leave
• Vacation Days
• Holidays
• Retirement Plan
• Tuition Reimbursement
• Relocation Assistance