designing, developing, and delivering advanced analytics solutions that support operational and clinical process improvement across the ministry.
partners closely with clinical, operational, and technical stakeholders to translate business needs into actionable insights using Azure Databricks, Power BI, and enterprise data assets.
plays a key leadership role in enabling data-driven decision-making, identifying improvement opportunities, and supporting systemwide transformation initiatives.
focuses on the technical development of datasets, dashboards, and analytic tools that support performance improvement, standardization, and operational excellence.
ensures that insights derived from data are accurate, meaningful, and aligned with the ministry’s strategic priorities.
Develop, maintain, and optimize analytic datasets in Azure Databricks, ensuring high-quality, reliable, and scalable data pipelines.
Build structured, well-documented models and semantic layers that enable efficient reporting and repeatable analytics.
Validate, profile, and clean data from multiple sources, including EHR systems, supply chain systems, productivity tools, and operational data platforms.
Design and build enterprise-grade Power BI dashboards, including modeling, DAX measures, visualizations, and performance optimization.
Analyze operational workflows and system behaviors to uncover trends, inefficiencies, and improvement opportunities.
Collaborate with process improvement specialists, clinical consultants, and operational leaders to validate findings and build data-driven recommendations.
Lead analytic components of cross-functional projects from concept to deployment, including scoping, requirements, development, rollout, and optimization.
Identify gaps in current systems, tools, and workflows, proposing enhancements or new analytics capabilities to support the ministry’s strategic goals.
Requirements
Bachelor's degree in clinical/pharmacy field
Requires clinical license in specific fields (i.e. Pharmacy, Operating Room, or other highly clinically intensive environment.)
7 plus years of clinical/operational experience in an integrated health system required
5+ years of data science, data analytics, information systems, computer science, engineering, BI Development and/or data engineering experience HIGHLY preferred
Demonstrated expertise in Power BI (DAX, data modeling, Power Query, visualization design)
Hands-on experience with Azure Databricks or equivalent modern cloud data platforms
Strong SQL and/or PySpark skills.
Experience interpreting operational or clinical workflows and turning data into meaningful insights.
Six Sigma, Lean, or similar process improvement certification.
Experience with Git, DevOps, or structured development frameworks.
Familiarity with EHR systems (Epic preferred)
Tech Stack
Azure
Cloud
PySpark
SQL
Benefits
medical, dental, and vision coverage
paid time off
tuition support
matched retirement plans for team members working 32+ hours per pay period