... the best of digital and data possibilities together to create more ... experiences. What you’ll be doing Reporting to the Data Governance Manager, you will apply ... , ADM). 3+ years of data governance and or data management experience. Tertiary qualification. A ...
... stakeholders. Building and maintaining robust data models to support financial analysis and reporting, ensuring data accuracy, consistency, and efficiency. Collaborating with data engineers to source, clean, and ...
... consistency across business areas, championing data quality and resolving complex data issues. Collaborating with other data professionals, business stakeholders, and IT specialists to drive system and process ...
... years of experience preferred in data modelling, data integration, and engineering for Reporting solutions. 8 years of experience preferred building and managing reporting solutions e.g. OBIEE or ...
... timely, trusted information to facilitate data science, deliver AI solutions, conduct analytics, and enable reporting that underpins bigger, bolder, better ...
... years of experience preferred in data modelling, data integration, and engineering for Reporting solutions. 8 years of experience preferred building and managing reporting solutions e.g. OBIEE or ...
... ), Information data architectures (eg. data fabric, data mesh, data warehouse, data lake or data hub) Data Structures (eg. structured, semi-structured and unstructured data). Data and analytics governance (eg. Master Data Management, data quality and data ...
... Description How will I help? Reporting to the Technology Domain Owner of Customer Data and ESG within CIB technology, this data scientist data modeller role will support the CIB Technology Division in managing its data delivery risks and controls in ...
... stakeholders.Building and maintaining robust data models to support financial analysis and reporting, ensuring data accuracy, consistency, and efficiency.Collaborating with data engineers to source, clean, and ...
... not limited to identification of data sources, extraction and transformation of data, data mapping, data reconciliation, data cleansing, data aggregation, data deduplication, data quality assessment, and root cause ...