Senior Data Analyst

Must have Requirements: 1. 5 – 10years experience as a Data Analyst preferably in the Wealth Management (.i.e.Retail, Retirement, Institutional or General Accounts) domain 2. 2 - 3 years of GenAI working experience 3. Adobe Journey Optimizer working experience 4. 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 5. Hands-on writing complex SQL queries to analyze data and provide results to business users or project team members. 6. Hands-on delivering data documentation artifacts in organizations of similar size and complexity within project deadlines. 7. Able to communicate clearly, both verbally and in written form at various levels within the project teams 8. 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. 9. Intermediate to senior hands-on business analyst experience in building data infrastructure or developing data in a data lake or data warehouse. 10. Hands-on knowledge of data modeling, data loading, data profiling, and data validation using SQL scripts. 11. Deep knowledge of integrating new data sources into a data lake or data warehouse. Nice to have: 1. Exposure to Azure 2. Amazon Webservice (AWS) Connect experience is an asset