... , and technology objectives. The Data Analyst contributes to the data platforms integrity by performing; data discovery, impact assessments, advocating and championing data literacy, data quality, data governance, the data strategy, and its benefits ...
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... report functional specifications, data transformation, source to target mappings, data dictionary etc Liaise with solutions architects, data scientists, data analysts and engineers to ensure solutions ... chance for investment success. How We Work Vanguard ...
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... launch your career as a Data Analyst? At Compare the Market in ... Jira and Confluence As a Data Analyst, your goals are focused on the quality, accuracy, and timely delivery of data artifacts. This includes: Defining Business ...
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... years’ experience working as a Data Analyst (or similar role) on data-related solutions using AWS, and will be comfortable working with business analysts, data visualisers, data engineers and data scientists, to enable customers to ...
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... in the areas of advanced data techniques, including data access, data integration, data visualization, data discovery, data layer design and implementation to ...
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... (e.g. data fabric, data mesh, data warehouse, data lake or data hub);Data Structures (e.g. structured, semi-structured and unstructured data);Data and analytics governance (e.g. Master Data Management, data quality and data stewardship practices ...
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... , troubleshoot errors, and optimise performance during migration. Help the client ... related to cloud technologies and data management. Lead the data team’s collaboration with data analysts, developers, business analysts and other stakeholders to ensure ...
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... highly skilled and experienced Senior Performance Test Analyst to join our dynamic team. As a Senior Performance Test Analyst, you will be responsible for ...
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... and accurate gold-copy investment data per assigned data domain with a focus on ... availing accounting and investment book of record data for the enterprise. The team ... accurate gold-copy investment data per assigned data domain with a focus on ...
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... ), 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 ...
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