Responsibilities:
- 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:
- Bachelors 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.
Responsibilities: 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 ...
Responsibilities:
- 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:
- Bachelors 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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