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Skills
Analysis Skillsunmatched
Business Analysisunmatched
Business Processesunmatched
Communication Skillsunmatched
Data Analysisunmatched
Data Managementunmatched
Data Mappingunmatched
Data Modelingunmatched
Data Processingunmatched
Data Qualityunmatched
Data Setsunmatched
Documentationunmatched
Establish Prioritiesunmatched
Gap Analysisunmatched
Investment Analysisunmatched
Investment Managementunmatched
Requirements Managementunmatched
SQL (Structured Query Language)unmatched
Systems Maintenanceunmatched
Technical/Engineering Designunmatched
Description
Our client is seeking a Business Data Analyst to evaluate and integrate alternative investment data across enterprise systems, focusing on data lineage analysis, gap identification, and requirements definition to align alternative asset portfolios with the firm's strategic data models.
Responsibilities & Qualifications
Analyze alternative investment data currently maintained outside strategic systems and compare datasets against enterprise systems of record
Perform detailed data lineage, impact analysis, and data mapping to identify quality, completeness, and integration gaps
Partner with Alternative Investments and Middle Office teams to understand business requirements, assess data criticality, and define functional specifications
Identify and document data mapping discrepancies and prioritize gaps based on business impact
Collaborate with technical teams to design and implement integration of alternative investment data into the strategic operating model
Prepare comprehensive business process documentation, data mappings, gap analysis reports, and recommendations
Present findings and insights to business and technology stakeholders to drive alignment and decision-making
Requirements
8-15 years of experience in business analysis, data analysis, or investment operations
Strong proficiency in data governance, data lineage analysis, data mapping, and SQL
Demonstrated expertise in alternative investments, private assets, and portfolio data management
Experience with investment operations and data quality assessment across complex datasets
Excellent stakeholder management and communication skills with ability to work across business and technical teams
Strong documentation and analytical skills with ability to synthesize complex data requirements