Data Analyst (ME1283)

Mediclinic; Dubai; On-site; AED 360,000 - 480,000; Full time

Job summary

Mediclinic Corporate Office Dubai is seeking an Analytics Lead for Operational Excellence to turn process performance into trusted metrics, dashboards and analyses that enhance decision-making across facilities.

The role will define KPI/SLA baselines, run monitoring cadences and demonstrate capacity and financial benefits while collaborating with the DSIM analytics team to uphold standards and enable self-service analytics.

Qualifications

• Bachelor’s degree in statistics, mathematics, CS, business, finance or related field.
• Minimum 2 years of data analysis or business intelligence experience.
• 5+ years analytics experience incl. analytics lead for a business area (desirable).
• Healthcare or service-operations experience is preferred.
• Experience designing KPI/SLA frameworks, exception-based monitoring and escalation.

Responsibilities

• Define and certify the KPI, SLA and baseline framework for priority processes.
• Deliver trusted dashboards 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 and enable self-service capabilities.

Skills

KPI framework

Dashboard development

Data analysis

Self-service analytics

Education

Bachelor’s degree in statistics, mathematics, CS, business or finance

Tableau certification

Lean Six Sigma Green Belt

Tools

Tableau

Job description

Closing date: 14/10/2026
Number of positions: 1
Recruiter name:Siva Krishna Bonda
Reference number: 74317

Mediclinic Corporate Office Dubai| Dubai | United Arab Emirates

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

1

Define and certify the KPI, SLA and baseline framework for the priority processes

2

Deliver trusted dashboards, analysis and the command centre intelligence layer on the governed data layer

3

Run the monitoring, escalation and intervention cadence

4

Model capacity and productivity, and evidence the benefit realised

5

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

All applicants will be considered, with the understanding that preference will be given to the designated groups in accordance with the United Arab Emirates Emiratization Program.