Senior Data Analyst

Responsibilities

• End-to-end analysis of business processes, data flows, and data usage to improve business productivity through re-engineering and data governance.
• Interact with business stakeholders to identify, prioritize, and address data-related needs and issues.
• Document business requirements and use cases for data-related projects.
• Review, analyze data consumption patterns for enterprise core data in the IM Data Warehouse.
• Coordinate with data owners and other teams to implement solutions.
• Coordinate the onboarding of data from various internal / external sources into the central repository.
• Work closely with Data Owners/Owner delegates on data analysis and development data quality (DQ) rules. Work with IT on enhancing DQ controls.
• Manage change control process and participate in user acceptance testing (UAT) activities.
• Support other DAG initiatives.

• Extensive hands-on experience analyzing and interpreting investment data with strong knowledge of the Investment Management industry
• 8+ years of Investment Management experience.
• Comprehensive data analysis skills with ability to detect anomalies, patterns, and data quality issues.
• Strong SQL skills Experience with Snowflake is a plus.
• Excellent communication skills including the ability to communicate effectively in both formal and informal contexts tailored for the audience.
• Knowledge of Data Governance & Data Quality and the relevant tools.
• Hands-on experience in project management
• Ability to manage enterprise scale data projects.

• Experience working with positions, trades, transactions datasets
• Familiar with agile process and JIRA