Engineering Services Data Analyst
Summary
A data analyst at Mediclinic Southern Africa's corporate office who analyses Engineering Services data, maintains reports and dashboards, monitors data quality, and supports system/process improvements using SAP EAM/PM-type asset management systems.
Choose how often (in days) you want to receive a notification:
Mediclinic Southern Africa Corporate Office| Stellenbosch | South Africa
Closing date: 17/11/2026
Number of positions: 1
Recruiter name: Ian Keith Moses
Reference number: 75149
Workplace Type:Hybrid
Permanent
MAIN PURPOSE OF JOB
To analyse Engineering Services data, maintain reporting and dashboards, monitor data quality, and support system and process improvements that enable informed operational decision-making.
KEY RESPONSIBILITY AREAS
Data Analysis
Business Process Management
System Enablement and Adoption
REQUIRED EDUCATION
Essential: Relevant diploma or degree in Engineering, Information Technology, Data Analytics, Information Systems, or a related field.
Desired: Certification in SAP EAM/PM, data analytics, reporting, dashboard development, or process improvement is advantageous
REQUIRED EXPERIENCE
Essential: Minimum 3 years’ experience in Engineering Services, including the use of related systems, data analysis, data-quality monitoring, and operational reporting.
Desired: Experience in system configuration and user training, dashboard development, advanced analytics, and process improvement is preferred
REQUIRED JOB SKILLS AND KNOWLEDGE
- Engineering Services systems and processes
- SAP EAM/PM or related asset management systems
- Data quality monitoring and system audit procedures
- Data analysis and interpretation
- Report and dashboard development
- System configuration and process improvement
- User training and system adoption support
All applicants will be considered, with the understanding that preference will be given in accordance with the Employment Equity Plan of Mediclinic Southern Africa, as well as internal applicants/employees that meet the minimum requirements.