AVP – Business Analytics Sr Analyst

AVP – Business Analytics Sr Analyst

Requirements

• 4+ years of relevant experience as business data analyst, business analyst, or systems analyst.
• 3+ years of experience in banking and financial services industry.
• 3+ years 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.

Responsibilities

• Partner with Data Leads, business data owners, and technology teams to gather and 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 ongoing monitoring 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 Data Governance Policy (CDGP) and corresponding Standards.
• Support Data Leads in Milestone 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 coordination between 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.

Preferred Qualifications

• Enterprise risk management or risk management category (e.g., Markets, Wholesale, Credit, Operational) experience preferred.
• 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.
• Extensive proficiency 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.