Data Analyst

منذ 4 أيام

Dubai, الإمارات العربية المتحدة Mediclinic Middle East دوام كامل
MAIN PURPOSE OF JOB To be the named analytics lead for Operational Excellence, turning process performance into trusted metrics, dashboards and analysis that improve decisions across all facilities. To build on the governed data layer, define and certify the KPI, SLA and baseline framework, run the monitoring cadence, and turn process change into measured capacity and financial benefit. To work as part of the DSIM analyst team, sharing methods, standards and cover with the other analysts. KEY RESPONSIBILITY AREAS
• Define and certify the KPI, SLA and baseline framework for the priority processes
• Deliver trusted dashboards, analysis and the command centre intelligence layer on the governed data layer
• Run the monitoring, escalation and intervention cadence
• Model capacity and productivity, and evidence the benefit realised
• Work to DSIM analytics standards, enable self-service and grow the capability REQUIRED EDUCATION ESSENTIAL EDUCATION
• Bachelor’s degree in Statistics, Mathematics, Computer Science, Business, Finance or a related field DESIRED EDUCATION
• Tableau certification
• Further study in data modelling or statistics
• Lean Six Sigma Green Belt REQUIRED EXPERIENCE ESSENTIAL MINIMUM EXPERIENCE
• Minimum 2 years of experience in data analysis or business intelligence DESIRED EXPERIENCE
• More than 5 years in analytics, including a period as the named analytics point of contact for a business area
• Healthcare experience, or a comparable service-operations environment
• Designing KPI and SLA frameworks, exception-based monitoring and escalation
• Demand, capacity and workforce productivity modelling, and benefit realisation reporting
• UAE regulatory KPI reporting (JAWDA, Muashir, DHA and DOH) REQUIRED JOB SKILLS AND KNOWLEDGE
• Define and certify the KPI, SLA and baseline framework for the priority processes
• Deliver trusted dashboards, analysis and the command centre intelligence layer on the governed data layer
• Monitoring, escalation and intervention cadence
• Model capacity and productivity, and evidence the benefit realised
• Work to DSIM analytics standards, enable self-service and grow the capability