... accuracy, completeness, and reliability of data. Oversee data cleansing, data profiling, and data validation activities. Collaborate with data stewards and data owners to resolve data quality issues and ensure continuous ...
... accuracy, completeness, and reliability of data. Oversee data cleansing, data profiling, and data validation activities. Collaborate with data stewards and data owners to resolve data quality issues and ensure continuous ...
... across the data lifecycle Data modelling and analysis including delivery of data model artefacts including Corporate Information Model, Canonical Data Model, Conceptual Data Model, Logical Data Model, Physical Data Models, Data mappings, Data flows Create ...
... or service provider in the data and analytics domain. Conducted pre- ... A Diploma or Degree in Data Analytics or Data Science or similar fields will ...
... accuracy, completeness, and timeliness of data transfers o utilise data quality & migration tools and methodologies, including data profiling tools for data quality analysis and ETL processes, ...
... with proven experience in data architecture and data management in large-scale environments, ... review and maintenance of data requirements and data models. Data management 6 Derives an overall strategy of master data management that supports the development ...
... IS&T, business units, and data management teams to ensure that the data management meets the needs of ... to the Senior Manager, Data & Analytics ERP Workstream Lead , you ... environments. Strong understanding of data and analytics foundations, integration and ...
... IS&T, business units, and data management teams to ensure that the data management meets the needs of ... to the Senior Manager, Data & Analytics ERP Workstream Lead, you ... environments. Strong understanding of data and analytics foundations, integration and ...
... extensive experience in leading the data engineering capability, and who is ... to translate business requirements into data integration solutions using both clear ... a complex team environment with data and analytics professionals, diverse business ...
... understanding of the significance of data quality across all business processes. ... approach to assessing and improving data quality, or; Data Quality Assessment Framework (DQAF): developed ...