Analytics Engineer

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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 Health Technology Solutions

Pursue your passion for caring and innovation with Duke Heath Technology Solutions, which is dedicated to the transformation, development, and management of enterprise information technology solutions across Duke Health.

By harnessing the power of innovative technologies like cloud computing and artificial intelligence — and pairing them with a forward-thinking approach — Duke Health Technology Solutions is revolutionizing the future of health care at Duke Health and beyond.

The Analytics Engineer serves as a trusted analytics partner to Nursing and Case Management leadership, supporting operational, quality, patient safety, 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 data into actionable insights that drive operational excellence and improve patient outcomes.

Key Responsibilities:

• Partner closely with Nursing and Case Management leaders 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 and analytics solutions that deliver accurate, timely, and actionable information.
• Own recurring reporting processes, ensuring data integrity, consistency, thorough documentation, and reliable delivery of performance metrics and scorecards.
• Translate complex data and analytical findings into clear, meaningful insights for audiences ranging from frontline operational teams to senior executive leadership.
• Support quality improvement, operational excellence, and performance improvement initiatives through project participation, analytical consultation, and data-driven recommendations.
• Collaborate with multidisciplinary teams to identify opportunities for improved data collection, reporting efficiency, and operational performance.

Work Performed

Level 1

• Individual contributor works under the direct supervision of level 3 or above and collaborates as a member of a team
• Basic understanding of local databases (Clarity; Caboodle) and underlying tables pertaining to role/domain
• Basic understanding of analytical/BI technologies and terminology related to role
• Ability to transform data into meaningful deliverables using reporting/visualization tools
• Ability to translate business and technical requirements into assigned deliverables such as data extract or report
• Basic knowledge of SQL query debugging
• Follows all policies and procedures set forth by DUHS/DHTS/ACE as pertains to role
• Responds to customer requests for assistance as assigned and prioritized by manager
• Maintains ongoing communications (timely, clear, concise, and accurate) with manager or business analyst keeping them apprised of request status
• Maintains appropriate DWD project documentation as assigned such as GITLAB or data dictionary

Level 2

• Meets all Competencies in Level 1 AND:
• Works with new hires/Level I team members to train on use of tools and technologies to accomplish job duties
• Demonstrates advanced knowledge of the assigned domain/role. Understands data, workflows, and tools related to role.
• Demonstrates ability to work with stakeholders to understand business needs and perform business analysis independently >75% of the time.
• Develop technical requirements from business requirements independently >75% of the time.
• Can write/modify accurate SQL queries independently > 90% of the time
• Basic knowledge of SQL query performance tuning
• Can write complex SQL inclusion/exclusion criteria for cohort development
• Mentors team members with SQL questions/tuning
• Ability to locate data elements independently >…