IT Analyst

Job Summary

The Ambulatory Operations IT Analyst, will support operational and performance analytics services for Duke Health Ambulatory Services, inclusive of Duke Primary Care and Urgent Care, Duke University Hospital Based Clinics, Duke Health Integrated Practice, and associated School of Medicine clinical departments.

Job Duties And Responsibilities

• Support senior operational leadership with focused analyses to manage the performance of key strategic priorities and business processes.
• Collaborate with senior operational leadership to understand and address critical operational challenges via data driven insights.
• Translate complex data insights into actionable strategies and improvement plans.
• Data Analysis and Story-Telling
• Serve as primary subject matter expert for one to two domains (process, customer, subject area, analytic methods).
• Utilizes established methodologies and tools proficiently, with room for growth in advanced techniques.
• Conduct comprehensive data analysis to uncover trends, patterns, and insights.
• Create compelling visualizations and dashboards using tools like Tableau or Power BI.
• Data Acquisition and Development
• Identify, procure, and validate diverse data sources relevant to ambulatory operations and performance, ensuring data accuracy and integrity.
• Develop design documents for data mapping and data transformation processes.
• Perform gap assessment to identify gaps between business requirements and data availability.

Job Eligibility Requirements

• Bachelor’s degree in a related field, or 4 years of equivalent technical experience required if no degree.
• Preferred: Degree in Information Sciences, Computer Science, Engineering, Public Health, Statistics/Biostatistics, or a health-related discipline.
• 3+ years of experience in data analysis and related fields.
• Recent and prior healthcare experience or analytical experience as post-doctoral or research associate acceptable or preferred.
• Proficiency in moderate to complex SQL queries.
• Proficiency using statistical and business analysis software (e.g. JMP, Tableau, Power BI).
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills.

Job Hours

The schedule for this position is day shifts, Monday-Friday, with no weekends or holidays.