Job Title

We are on a journey to become a customer-centered digital leader and are seeking a motivated Senior Data Analyst to help drive strategic initiatives. Reporting to the Lead Data Analyst in the GWAM Data Office/Engineering team, you will work cross-functionally to ensure delivery of high-impact, data-driven projects in Wealth Management. Your work will align with our broader data strategy, leveraging modern technologies and best practices. Job Responsibilities: Lead business sessions to gather, clarify, and validate data requirements Create and maintain Business Requirement Documents (BRDs), Source-to-Target Mappings (STM), and metadata documentation Ensure data solutions meet business expectations and align with strategic goals Liaise across stakeholders to gain consensus and support data-related initiatives Conduct in-depth data analysis, profiling, and validation activities Manage UAT activities, including test planning, execution, and user sign-off Provide support and guidance on data modeling, integration, and transformation Contribute to building scalable, flexible data infrastructure and pipelines Required Skills: 510 years of experience as a Data Analyst in Wealth Management (Retail, Retirement, Institutional, or General Accounts) 23 years of hands-on experience with GenAI Working knowledge of Adobe Journey Optimizer Proven experience in master data management, data integration, data warehousing, and analytics in capital markets or investment banking environments Strong SQL skills for data querying, profiling, validation, and transformation Proven experience delivering documentation artifacts in large, complex environments Strong communication skills, both written and verbal, with stakeholders at all levels Experience with trading platforms and book of record systems such as Bloomberg Polar Lake, SimCorp Dimension, Findur, Apex, Eagle, Charles River, Sylvan, Calypso Business analysis experience in building or managing data lakes or data warehouses Expertise in data modeling, ETL processes, and loading/validating datasets using SQL Ability to integrate new data sources into existing platforms (lake/warehouse) Preferred Skills: Exposure to Azure cloud technologies Experience with AWS Connect Background in Agile teams and methodologies Experience using big data technologies and analytics frameworks Certifications: [Specify if required or preferred e.g., Certified Data Analyst, Azure Data Engineer Associate] #J-18808-Ljbffr