The ideal candidate understands how investment data moves across multiple systems and vendors, can translate stakeholder needs into actionable requirements, and is comfortable analyzing complex datasets to identify exceptions, patterns, and process improvement opportunities. The successful candidate will combine investment-domain knowledge, business analysis skills, data analysis capabilities, and practical experience using modern AI-enabled tools to improve data quality, reporting, controls, and operational efficiency.