U

University of Mississippi Medical Center

Academic medical center

Intelligence Analyst Senior - Rural Health Transformation, Division of Information Systems

Business IntelligenceConfirmed live in the last 24 hours
Full-timeJackson, MS, USANo salary listed

About the Job

Requirements

  • A bachelor's degree and two years of work experience in data intelligence analytics are required.
  • Epic certification or accreditation in the Clinical Data Model, Access Data Model, or Revenue Data Model is required within six months after hire; candidates who pass the initial interview review will take an Epic assessment.
  • Demonstrate advanced expertise in information systems, systems analysis, and application development, with a strong command of system integration and relational databases.
  • Be proficient in SQL and have hands-on experience with ETL processes and end-to-end solution delivery.
  • Be skilled in analyzing and troubleshooting complex systems, programming, and enhancing custom applications.
  • Be able to produce clear technical documentation and reports and have strong verbal and written communication skills.
  • Have a foundation in high-level mathematical analysis to support data-driven insights and system improvements.

Responsibilities

  • Plan, coordinate, and oversee complex project activities, defining scope, objectives, and deliverables and ensuring work meets standards, timelines, and organizational goals.
  • Ensure effective communication and collaboration among cross-functional teams, stakeholders, and vendors to achieve project milestones and high-quality outcomes.
  • Share knowledge and best practices, provide ongoing support, and mentor junior team members to support skill development and team growth.
  • Lead the design, development, and maintenance of custom reports, dashboards, and data visualizations in the Epic ecosystem using Epic BI tools and platforms such as Qlik.
  • Maintain an understanding of ETL processes and interpret ETL code.
  • Use in-depth knowledge of Epic data models to build and optimize complex queries aligned with business requirements, organizational policies, and industry and regulatory standards.
  • Analyze research, education, clinical, financial, operational, and patient care data to uncover trends, identify performance gaps, and highlight improvement opportunities.
  • Deliver automated reports that enable data-driven decision-making across departments.
  • Collaborate with cross-functional stakeholders to define key performance indicators, interpret data findings, and develop actionable recommendations supporting organizational goals.
  • Monitor data quality, validate analytical outputs, and implement standardized methodologies to improve reporting and visualization accuracy, reliability, and usability.
  • Liaise with clinical, operational, and IT teams to assess reporting needs and design scalable, integrated solutions that ensure consistent and accurate data across systems.
  • Translate business requirements into detailed system specifications by collaborating with DIS staff, end users, and vendors.
  • Contribute to application development or enhancement efforts and produce technical documentation in accordance with UMMC policies.
  • Develop user guides and training resources and lead end-user training sessions to support adoption and use of analytics tools and reports.
  • Participate in technical and governance committees to identify project risks, monitor progress, and support timely delivery of analytics initiatives and organizational priorities.

Desired Qualifications

  • Prior experience with Microsoft Fabric, Power BI, and Microsoft Purview is highly preferred.

About the Company

University of Mississippi Medical Center is Mississippi’s public academic medical center and health-sciences university. The institution operates hospitals, clinics, professional schools, research programs, and statewide health initiatives. It serves patients, students, families, clinicians, researchers, and communities throughout Mississippi. Its operating model centers on clinical care integrated with education, research, public service, and centralized university operations. Teams work across nursing, physicians, allied health, research, education, technology, facilities, and administration. Work depends on coordination among clinical, operational, technical, and support teams across its care settings and communities.

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