Acts as a data analyst with subject matter expertise related to advisory data (e.g. Accounts, Positions, Transactions, Instruments, Proposal / Models, Portfolio Construction and Performance Reporting).
Analyzes, defines and prioritizes the data transformation requirements and functional or operational specifications in collaboration with to Wove product managers, data architects, data engineering, and data owners.
Performs data mining and analysis to determine impact assessment.
Develop and maintain data lineage documentation and mappings to support data governance, regulatory, compliance, and data lineage analysis activities.
Experience :
Bachelor's degree in finance, economics, computer science or a related discipline, or equivalent work experience required.
Typically requires 8-12 years of total work experience, preferably in securities or financial services.
Strong understanding of data governance principles, data quality management concepts, and regulatory requirements.
Strong stakeholder management and people skills, and the ability to manage multiple competing priorities under pressure.
You will have strong analytical skills, are familiar with Agile methodology and played an active role in scrums such as backlog refinement, sprint planning and execution.
Uses SQL or Python for data mining purposes to troubleshoot data conditions in relational databases.
SQL Skills required 8-10 years data analysis querying skills / PL SQL skills / Big Data analysis.
Experience with Snowflake, Oracle, SQL Server, Mongdb, Colibra a plus.
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