Intellect Resources is looking for an Epic Data Analytics Engineer for a full time direct hire opportunity. Empowering data-supported decision-making by transforming complex information from clinical systems like Epic EHR into actionable insights. You'll design, develop, and deploy cutting-edge data solutions, build and refine our data warehouse, and champion data governance best practices across the organization. 

Key Responsibilities:

• Design, implement, and manage data pipelines to integrate data from Epic and other data & reporting systems.
• Clean, transform, and prepare data from different sources for analysis, ensuring data integrity and consistency.
• Collaborate with internal teams to understand data requirements and create effective data models.
• Support and optimize Epic's reporting capabilities and develop custom reports based on clinical and operational needs.
• Utilize data visualization tools (e.g., Tableau, Power BI) to create dashboards and interactive reports that provide actionable insights to clinicians, administrators, and leadership.
• Analyze clinical and operational data to identify trends, patterns, and opportunities for process improvements.
• Develop predictive models to improve patient care and optimize resources in the health center.
• Ensure that data related to patient outcomes, appointments, diagnoses, and treatments are captured and accessible for analysis.
• Work closely with Infrastructure Operations, A&I and data stewards across the organization, to ensure smooth data flows and troubleshoot data-related issues.
• Collaborate with clinicians and stakeholders to identify key performance indicators (KPIs) and support data-driven decision-making.
• Communicate complex data findings in a clear, concise, and actionable manner to non-technical stakeholders.
• Stay current with new technologies and tools in the field of data analytics and healthcare systems.
• Proactively recommend and implement process improvements that enhance the accuracy, reliability, and efficiency of data management.

Key Requirements: 

• 3+ Years Experience in data analytics
• 3+ Years Experience in database engineering
• 2+years Experience in Healthcare data revenue cycle
• Advanced Proficiency in Microsoft Excel; including Pivot Tables
• Experience with PowerQuery preferred
• Advanced Proficiency with the following Epic/OCHIN reporting tools and data systems: Cogito, Reporting Workbench, SlicerDicer
• Epic Cogito Admin certification required
• Advanced Proficiency in SQL querying and report writing (advanced proficiency preferred)
• Proficiency with the following Epic/OCHIN reporting tools and data systems: Clarity