Get more replies from employers
Send a job-specific resume in minutes.
The Clinical Intelligence Analyst at Imperial College London Diabetes & Endocrine Centre drives data analysis, reporting, and BI efforts across the Outpatient Cluster. You will build and maintain dashboards, extracts, and reports using CCL/SQL to support quality, regulatory, and accreditation activities.
You will collaborate with clinical quality teams, translate findings into actionable insights, and help advance performance improvement initiatives within Abu Dhabi’s multi-branch network.
Job Description:
M42 delivers comprehensive healthcare services across the full continuum of care; from primary care to advanced specialty treatments. Leveraging cutting-edge health technologies and precision medicine, we ensure the highest standards of effectiveness, efficiency, and patient-centered outcomes. With a global presence spanning more than 480 facilities in 27 countries and a dedicated workforce of over 20,000 professionals, M42 is uniquely positioned to redefine the future of healthcare on a global scale. Imperial College London Diabetes & Endocrine Centre (ICLDEC) is a global leader in diabetes and endocrine treatment, education and research. Established in 2006 by Mubadala in partnership with the UK’s Imperial College London, the Centre specializes in treating all types of diabetes and endocrine disorders, as well as focusing on diabetes research, training, and public health awareness. The Centre, which operates four branches across Abu Dhabi, Al Ain and Al Dhafra, has gained international recognition for its holistic approach to the treatment of diabetes and related complications that enables patients to receive the full spectrum of care in one place.
The Clinical Intelligence Analyst supports data analysis, report generation, and business intelligence activities within the Outpatient Cluster. The role is responsible for developing and maintaining reports, extracts, and data outputs that support clinical quality, process improvement, regulatory reporting, accreditation readiness, and operational decision-making. This position requires hands-on experience with database programming languages (i.e. CCL or SQL), strong healthcare data analysis skills, and the ability to collaborate with clinical quality and process improvement teams to translate data into meaningful insights.