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Data Management Expert
1 week ago
We are seeking a highly skilled Data Management Expert to join our team at Mediclinic.
The ideal candidate will have a strong background in data migration and reporting, with experience working with current and new operating systems.
Main Purpose of Job:
- To coordinate and control all activities relating to data migration and reporting between current and new operating systems.
Key Responsibilities:
- Data Governance and Compliance: Ensure data migration aligns with policies & regulatory standards, enforcing data stewardship for accuracy and accountability.
- Data Mapping and Transformation: Validate, cleanse, and standardize data; define mapping between legacy and new systems; transform data to fit new structures.
- Testing and Validation: Conduct pre- and post-migration QA checks, ensuring data integrity; support User acceptance Testing for accuracy.
- Data Quality & Integrity: Perform data validation, cleansing, quality assurance, and standardize to maintain consistency and reliability.
- Stakeholder Collaboration and Coordination: Liaise with Data Migration and Business Units to ensure a smooth transition and address concerns.
- Continuous Improvement and Post-Go Live Support: Assist in data optimization and ongoing enhancements for improved management.
Essential Education:
- Certification in data management or a related field or Candidates with 3-5 years of hands-on data migration experience (preferably in a SAP environment) may qualify without a formal qualification if they can demonstrate strong practical expertise.
Desired Education:
- Data Management/Stewardship qualification.
Essential Minimum Experience:
- 3-5 years of proven experience working with data, including hands-on data migration projects.
Desired Experience:
- SQL, data management, and database management experience preferably within healthcare.
- Familiarity with SAP is advantageous.
Required Job Skills and Knowledge:
- Strong Microsoft Excel skills.
- SAP data or project experience (SAP migration Cockpit).
- Understanding of the Private Healthcare industry.
- Data extraction, mapping, and transformation skills (SQL).
- Knowledge of data quality and validation techniques.
- Knowledge of Data Governance concepts and requirements.
- Good interpersonal and collaboration skills.
- Attention to detail and quality assurance.