Analyze enterprise and vendor datasets, understand data characteristics and methodologies, and collaborate across business and technology teams to manage data onboarding and data lifecycle. The analyst will work on analyzing data profiles and data cleansing and quality check requirements, working with the dev team to build and enhance data pipelines while maintaining proper quality and control around the data sets.
Requirements
- Comprehensive data analysis skills with ability to detect anomalies, patterns, and data quality issues.
- Strong SQL skills; Experience with Snowflake is a plus.
- Knowledge of Data Governance & Data Quality and the relevant tools.
- Experience working with positions, trades, transactions datasets
- Familiar with Agile process and JIRA
Responsibilities
- End-to-end analysis of business processes, data flows, and data usage to improve business productivity through re-engineering and data governance.
- Review, analyze data consumption patterns for enterprise core data in the IM Data Warehouse.
- 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 develop 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.
Other
- Extensive hands-on experience analyzing and interpreting investment data with strong knowledge of the Investment Management industry
- 8+ years of Investment Management experience.
- Excellent communication skills including the ability to communicate effectively in both formal and informal contexts tailored for the audience.
- Hands-on experience in project management
- Ability to manage enterprise scale data projects.
