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Leads sessions with the business to gather requirements and get sign-off.
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Produces and maintains Business Requirement Document (BRD), source to target mappings (STM) and other DA related documentation.
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Ensures that project team delivers a data asset that meets business requirements.
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Liaises with various teams and stakeholders to get alignment.
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Data analysis, data profiling and metadata collection.
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Leads UAT activities with business and obtains sign-off.
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5 - 10 years experience as a Data Analyst preferably in the Wealth Management (.i.e. Retail, Retirement, Institutional or General Accounts) domain
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2 - 3 years of GenAI working experience
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Adobe Journey Optimizer working experience
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Experience with data-centric projects delivering the following (preferably within a capital markets or investment banking domain): Master data management, Data integration, Data warehousing and reporting. Big Data environment for analytics
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Hands-on writing complex SQL queries to analyze data and provide results to business users or project team members
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Hands-on delivering data documentation artifacts in organizations of similar size and complexity within project deadlines
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Able to communicate clearly, both verbally and in written form at various levels within the project teams
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Experience in major trading platforms, book of record systems, performance management platforms, such as Bloomberg Polar Lake, SimCorp Dimension, Findur, Apex, Eagle, Charles River, Sylvan, Calypso
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Intermediate to senior hands-on business analyst experience in building data infrastructure or developing data in a data lake or data warehouse
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Hands-on knowledge of data modeling, data loading, data profiling, and data validation using SQL scripts
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Deep knowledge of integrating new data sources into a data lake or data warehouse.
