Must have Requirements:
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5 -- 10 years experience as a Data Analyst, preferably in the Wealth Management domain, including Retail, Retirement, Institutional, or General Accounts.
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Over 3 years' experience working with Cloud data platforms such as Azure, AWS, etc.
Experience with data-centric projects, preferably within capital markets or investment banking, including: Master data management, Data integration, building/enhancing Data warehousing or data lakes, and Big Data environments for analytics.
- Familiar with data models and data warehouse concepts.
- Hands-on experience in data profiling, writing complex SQL queries to analyze, validate data, and present results to business users or project teams.
- Experience delivering data documentation artifacts within organizations of similar size and complexity, meeting project deadlines.
- Ability to communicate clearly, both verbally and in writing, at various levels within project teams.
- Experience with major trading platforms and book of record systems, such as Bloomberg Polar Lake, SimCorp Dimension, Findur, Apex, Eagle, Charles River, Sylvan, Calypso.
Nice to have --
- Experience with Generative AI (GenAI).
- Experience with Amazon Web Services (AWS) Connect is an asset.
