Overview
Skills
Job Details
Data Governance Analyst in Finance Sector (Only G.C / U.S.C)
Duration: 12+ Months
New York, NY 10004 (Hybrid 2-3 day onsite/week)
Essential Skills: Proficiency in Data Governance, Mastery of Data Quality Assessment, Expertise in Mapping Data Lineage, Proficiency in SQL Queries, Competency in Data Architecture, Proficient in Managing Stakeholder Relations, Knowledge of Financial Instruments, Skilled in ETL Processes and Data Integration Techniques, Familiarity with Financial Regulatory Standards (BCBS 239, GDPR, MiFID II), Experience with Data Management Tools such as Collibra, Alation, or Informatica, Capable of Eliciting Business Needs, and Proficient in Data Testing and Quality Assurance
Position Summary:
A seasoned Data Governance Analyst is sought by our firm, a leader in the investment banking and financial services sectors. This individual will possess strong expertise focused on the articulation, examination, and governance of data quality and the mapping of data movement within the organization, thus guaranteeing data's transparency, consistency, and traceability. The candidate will act as a liaison among diverse business units, operational entities, and technological departments with the aim of promoting a shared understanding and insight regarding the practices of data handling, transformation, and utilization throughout the organization s systems.
Principal Duties:
Governance of Data Quality: Active engagement and management in initiatives to standardize key data elements, in line with corporate Guidelines and Protocols, covering aspects such as data stewardship, control mechanisms, and cataloging.
Documentation & Scrutiny of Data Lineage: Development and upkeep of detailed data lineage records that depict the journey and alterations of data through various systems, from the source point to consumer-facing platforms.
Collaboration with Stakeholders: Active partnership with business stakeholders, proprietors of data, product leaders, and technical groups to dissect data procedures, movements and related infrastructures.
Improvement of Data Governance Practices: Upholding and enhancing data governance and quality protocols by pinpointing discrepancies and flaws in data movement and offering corrective strategies.
Conversion of Business Demands: Deciphering business objectives into detailed technical specifications for systems handling data, such as reporting frameworks, risk management tools, and adherence to regulatory norms.
Verification and Quality Control: Contribution to the authentication and examination of data workflows, affirming that data lineage is both precise and in harmony with the initial business prerogatives.
Candidate Profile:
An academic background with a Bachelor s degree in Business, Finance, Computer Science, Information Systems, or an allied domain (Advanced degrees are advantageous).
An accumulation of 10-15 years or more in roles akin to a Business Analyst, Data Analyst, or allied positions within the sectors of financial services or investment banking.
Deep-seated knowledge in the domains of data stewardship, data quality management, and the processes of data lineage.
Acquaintance with banking systems and financial instruments is supremely beneficial.
Acumen in utilizing data structuring tools, mapping utilities, and data integration technologies.
Command over SQL for the purpose of data retrieval and analytical procedures.
Background in working with data governance protocols and familiarity with regulatory obligations (such as BCBS 239, GDPR, and MiFID II).
Demonstrated communication prowess coupled with adeptness in engaging with stakeholders across the board.
Additional Skills to be Considered:
Experience in working with tools designated for data lineage (such as Alation, Collibra, Informatica, etc.).
Comprehension of the intricacies involved in data transformation and ETL processes.
Capacity to operate effectively amidst a dynamic and demanding corporate atmosphere.