will have a strong background in data analysis, data mapping, and data modeling for ETL processes. The ETL
will have a strong background in data analysis, data mapping, and data modeling for ETL processes. The ETL processes. • Data Analysis and Data Mapping: Perform thorough data analysis and mapping to ensure accurate data and completeness. • Validation of Data Mappings: Validate data mappings to ensure correct data transformations experience. • Proven experience in data analysis, data mapping, and data modeling for ETL processes. • Strong various data sources. • Ability to validate data mappings to ensure accurate data transformation and integration
harmonisation platform
Required
processes Stakeholder management and communication Data mapping analysis and interpreting data sets Matric /Grade
support new career architecture. Experienced in data mapping, analysis, and resolving data anomalies. Provides
during decision points.
to align to new career architecture
catalogue to align to new career architecture Data mapping, analysis, reconciling data outliers Completing
catalogue to align to new career architecture Data mapping, analysis, reconciling data outliers Completing
andanalyze spatial data. This includes using vector-based software to create maps and layers, understandinghow devices), and managing this data in computer databases.Knowledge of map projections and spatial data