At Duke Health, we're driven by a commitment to compassionate care that changes the lives of patients, their loved ones, and the greater community. No matter where your talents lie, join us and discover how we can advance health together. About Duke University Hospital Pursue your passion for caring with Duke University Hospital in Durham, North Carolina, which is consistently ranked among the best in the United States. The largest of the four Duke Healthhospitals with 1062 patient beds, it features comprehensive diagnostic and therapeutic facilities, including a regional emergency/trauma center, an endo-surgery center, and more. Analytics Engineer Department of Pharmacy The Analytics Engineer serves as a trusted analytics partner to Department of Pharmacy leadership, supporting medication use, pharmacy operations, quality, patient safety, regulatory reporting, and performance improvement initiatives through the development of reporting, analytics, and decision support solutions. This role requires strong business partnership skills, technical expertise, and the ability to translate complex healthcare data into actionable insights that drive operational excellence, improve patient outcomes, and support informed decision making. Key Responsibilities: Partner closely with Pharmacy leadership and subject matter experts to understand business needs, prioritize initiatives, and develop data-driven solutions that support strategic and operational objectives. Serve as a trusted advisor by proactively communicating project progress, risks, dependencies, and opportunities to stakeholders. Design, develop, validate, document, and maintain reporting, semantic modeling, and analytics solutions that deliver accurate, timely, and actionable information. Develop and maintain SQL queries, data transformations, and governed analytics assets that support pharmacy operations, quality initiatives, and regulatory reporting. Translate complex data and analytical findings into clear, meaningful insights for audiences ranging from frontline operational teams to senior executive leadership. Support quality improvement, patient safety, medication stewardship, and operational excellence initiatives through project participation, analytical consultation, and data-driven recommendations. Collaborate with multidisciplinary teams to identify opportunities for improved data collection, reporting efficiency, data quality, and operational performance. Participate in analytics engineering best practices, including documentation, source control, peer review, testing, and deployment processes. Preferred Qualifications: Experience working in a healthcare environment with an understanding of clinical operations, pharmacy workflows, quality improvement, patient safety, and healthcare regulatory reporting. Epic certification or demonstrated proficiency with Epic Clarity, Caboodle, Cogito, or other Epic clinical and operational data models. Experience with Microsoft Fabric, including s
