Data Governance Analyst
Location: Onsite Hybrid role, 2-3 days onsite per week.
Note: Must be authorised to work for any employer and willing to work on W2. Can't sponsor Visa. Can't do C2C, Corp to Corp or 1099.
Will be responsible to identify and document all business and technical metadata required for sourced data in various Enterprise use cases outlined above.
Will support the documentation of end-to-end data lineage requirements for use cases, tracing data flows from source to final consumption. Additionally, the role involves performing reverse analysis of existing use cases, mapping consumption points back to their originating sources.
Responsibilities include identifying data issues and gaps, providing actionable recommendations, and collaborating closely with Technology teams and subject matter experts across Regulatory Reporting, Compliance, Risk, and Operations to promote and advance data governance adoption.
• Analyze and document end-to-end use case data flows from target to source into a Business Glossary document, identifying and documenting the data lineage and transformations, and data quality rules that are required, as well as improvement opportunities throughout the data flow.
· Use Ab Initio tool to load data catalogs, required business terms / definitions, link business to technical data elements, categorizing criticality of each data element, and working with IT to complete the data lineage from data sources to reports
· Collaborate with appropriate business stakeholders/remediation owners to implement data quality controls, help remediate data gap issues and improve processes to prevent future data concerns.
· Support day-to-day activities that align to data governance and management activities, various end-to-end data efforts, and optimize metrics and progress reporting processes.
Skills:
· Hands-on expertise in SQL to retrieve, combine and manipulate large data sets.
· Deep understanding of enterprise data management concepts, principles and current industry practices.
• Experience delivering data quality improvements in a complex, transforming, multi-national banking environment.
· Understand data models and taxonomies, with deep skills in data quality, controls and remediation
· Produce and articulate meaningful data quality metrics and KPIs
· Help drive data quality strategy and foster data culture across the organization
Min 5 years of Data Governance experience.
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