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The Business Data Analyst role is responsible for ensuring timely and accurate definition and execution of Enterprise Risk Management (ERM) requirements according to the Citi Data Governance Policy (CDGP) and Standard (CDGS). The role reports into the Enterprise Risk Management Data & Technology ERM Data Governance Lead. This is an opportunity to contribute at a data program initiative supporting the development and creation of the data management and data governance model within ERM.
Job Responsibility:
Partner with Data Leads, business data owners, and technology teams to gatherand document data requirements including data lineage, system and data flows and data quality rules for critical Enterprise regulatory and management reports
Understand business requirements, translating them into actionable specifications including how data should be governed as per the CDGP/CDGS
Use data quality scorecards and ongoingmonitoring controls to identify data quality issues, perform root-cause analysis, identify recommendations for improvement,and remediation prioritization
Support metadata management processes to capture and maintain data lineage, definitions, and dependencies in alignment with standards across all data domains
Support data accuracy, timeliness and completeness by aligning work output to key data capabilities and tools including metadata repositories, data dictionaries, business process maps, metrics, controls, and scorecards
Support data consumers and upstream data providers to agree on the scope of critical data quality challenges and ensure implementation and adherence to Citi’s Data Operating model
Document key project risks and assist with resolution or escalate accordingly
Support execution of and alignment to Citi’s DataGovernance Policy (CDGP) and corresponding Standards
Support Data Leads inMilestone and Deliverable execution including gathering, storing, and publishing key project artifacts for closure
Manage individual project responsibilities including task and actions management, coordination and execution of plan activities, minutes, and status reporting within required timelines and to stakeholder quality expectations
Support standing up governance forums, reporting, and tooling for ERM Data Operating Model implementation
Support coordinationbetween Enterprise Data Office (EDO), ERM , Risk Category, Risk Pillar, Finance, Technology, and PMO Teams
Support project status reporting updates in coordination with respective PMO teams, including change controls, risks, issue, and path-to-green submissions
Participate in supporting ERM Data & Tech Team support for tracking and remediation of RAID log items
Document meeting minutes and action items in a centralized location
Ensure alignment with regulatory requirements, industry standards, and best practices
Adhere to and facilitate meeting Change Management processes involved in Citi’s ERM Data Governance initiative.
Requirements:
5+ years of relevant experience as business data analyst, business analyst,or systems analyst
3+ years of experience in banking and financial services industry
Experience in data governance, data management, or related roles including support of data standards/policies
Strong understanding of data governance principles, frameworks, and best practices
Experience supporting data quality initiatives and data-related issue management
Experience with data management processes, tools, and applications, including data cataloging, process mapping and lineage toolsets
Experience with implementing data technology solutions and capabilities and/or working on large cross-functional business initiatives
Ability to communicate (both verbal and written) in a clear, confident, and open-minded manner to build trusting partnerships with a wide variety of audiences and stakeholders
Ability to quickly grasp and master new concepts, requirements, and related product or functional knowledge
Extensiveproficiency in Excel, PowerPoint, and Data flowcharting
Proactive, highly focused and meticulous collaborator with a desire to learn and progress within the company
Proven analytical, interpersonal, and organizational skills
Demonstrates comfort working with large data volumes and a firm understanding of logical data structures with effective use of complex analytical, interpretive, and problem-solving techniques.
Nice to have:
Certification in data governance or related areas (e.g., CDMP, etc.) is a plus
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