Senior Data Analyst

Compunnel • Toronto, Ontario, Canada • 13h ago

Must have Requirements:

5 - 10 years of experience as a Data Analyst in the Wealth Management (i.e., Retail, Retirement, Institutional, or General Accounts) domain
2 - 3 years of GenAI working experience
Adobe Journey Optimizer working experience
Experience with data-centric projects delivering the following (preferably within a capital markets or investment banking domain): Master data management, Data integration, Data warehousin,g and reporting. Big Data environment for analytics
Hands-on writing complex SQL queries to analyze data and provide results to business users or project team members.
Hands-on experience delivering data documentation artifacts in organizations of similar size and complexity within project deadlines.
Able to communicate clearly, both verbally and in written form at various levels within the project teams
Experience in major trading platforms, book of record systems, performance management platforms, such as Bloomberg Polar Lake, SimCorp Dimension, Findur, Apex, Eagle, Charles River, Sylva ,and Calypso.
Intermediate to senior hands-on business analyst experience in building data infrastructure or developing data in a data lake or data warehouse.
Hands-on knowledge of data modeling, data loading, data profiling, and data validation using SQL scripts.
Deep knowledge of integrating new data sources into a data lake or data warehouse.
Exposure to Azure

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