Data Analyst (Investment Data Management experience)

Role: Data Analyst (Investment Data Management experience)Location: Atlanta, GA / Windsor, CT (Hybrid/Remote for excellent consultants)Duration: 12+ Months (C2C/W2)Job OverviewJob Description·We are seeking an experienced, highly motivated and analytical Investment Data Management Analyst. ·In this key role you are expected to set and implement the instrument data mastering approach, governance, quality, and delivery for the business. ·This position plays a crucial role in facilitating the data needs of the business through partnership with IT and external data providers. ·The ideal candidate will have a keen attention to detail, strong organizational skills, and a passion for maintaining data integrity in the investment domain. Responsibilities: ·Design and Implementation: Drive the design and implementation of instrument mastering concepts, approach and processes with a strong emphasis on understanding the business need across various functions. Take the lead in shepherding projects end-to-end and partner with IT to decide on future state architectural decisions of the instrument data. ·Instrument Mastering: Perform instrument mastering across various sources and aspects of a financial instrument such as instrument types, sectors, issuers, reference attributes, cross-reference etc. Monitor and resolve data discrepancies timely. Responsible for ensuring new instruments and changes to existing instruments are timely identified and captured in the mastered instrument data, including ensuring nuanced aspects of each instrument are captured. ·Market Data Providers: Coordinate and liaise with our respective external vendors (e.g., Bloomberg, ICE) to source instrument level attributes based on the needs of internal stakeholders. ·Data Delivery for Production: Confirm that all data was received per daily and monthly requirement and that it was successfully captured in the instrument data mastering. Interact with IT to ensure that all data was received as expected and loaded completely and without incident to the data warehouse. ·Data Control and Resolution: Create and manage data controls that ensure the timeliness, completeness, consistency, and accuracy of the data received. Perform forensic data analysis to assess the issues and provide root cause analysis. Monitor and resolve data discrepancies timely, both as a tactical measure and long-term remediation. ·Data Governance: Ensure that the pathway of data is accurately documented with business specifications that illustrate change control, a data dictionary of available concepts, and lineage as to how that data moves.