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Successful candidate will be responsible for participation in the establishment and implementation of data domains and data lineage by understanding and documenting application design in a concise, logical and understandable way in coordination with the Technology application teams. The role would focus on data governance implementation for a respective product and data domain, which includes registering critical data elements, authoritative data sources, data quality rules, and investigating any data quality issues. The overall objective of this role is to contribute to continuous iterative exploration and investigation of attribute-level data lineage, critical data element decomposition, application performance and other measures to gain insight and drive data governance planning and data remediation.
Job Responsibility:
Formulate and define systems scope and objectives for data domain implementation and foster communication between data domain leaders and technology
Register critical data elements, authoritative data sources, and data lineage in coordination with the data domain and technology application teams
Support data quality validation and data issue remediation from root cause analysis through remediation planning and provide input to business and Technology based on analysis of information
Consult with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards and recommends solutions
Requirements:
Experience in data analysis with intermediate/advanced Microsoft Office Suite and SQL skills
Proven interpersonal, data analysis, diplomatic, management and prioritization skills
Consistently demonstrate clear and concise written and verbal communication
Demonstrated ability to work under pressure to meet tight deadlines and approach work methodically with attention to detail
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Experience in systems analysis and programming helpful
Preferred languages include: Python, Java, Visual Studio, Ab Initio, Data Lineage capture tools (i.e.: IBM Manta, Ab Initio mHub), or other development languages
Knowledge and experience in Trade Product domain desired
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