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The Data Quality Intermediate Analyst is responsible for delivering subject matter and industry expertise across the enterprise in coordination with the Data Quality team. This role deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family.

Responsibilities:

• Implement and reinforce strong adherence to the standard operational, risk and control processes as it relates to Full Suite-Genesis Operating Model

• Manage and lead junior to intermediate level team members to deliver the following key activities:

• Perform daily and monthly trend analysis of Operational Matching exception reports

• Review Operational Matching exceptions (SGL orphans) and investigate root cause of new exceptions

• Identify both tactical and strategic remediation to resolve Operational Matching exceptions (SGL orphans)

• Execute tactical data remediation of data quality issues in Full Suite in adherence to existing governance and controls framework

• Identify appropriate strategic remediation of data quality issues

• Perform end-to-end requirements management and end-to-end testing of Full Suite change requests as it relates to strategic remediation of data quality issues

• Raise DCID through DCRM (Data Concern Remediation Management) portal for issues identified

• Manage and address data quality queries/issues on Full Suite-Genesis production data through proper acknowledgement and timely feedback to data users

• Conduct second-level investigation on medium to complex data quality queries/issues on Full Suite-Genesis production data and propose resolution path (both tactical and strategic)

• Escalate timely to appropriate resolver groups, e.g. technology teams, if data investigation requires expertise outside of the team, and follow through accordingly

• Manage, lead and support small to medium size projects and initiatives related to data services such as but not limited to process reviews and process efficiency enabler implementation;

• Prepare and communicate production support related operational metrics and KPIs within Finance Data organization;

• Manage, lead and support small to medium size projects and initiatives related to data services such as but not limited to process reviews and process efficiency enabler implementation;

• Supervise junior to intermediate level team members, support team collaboration, career growth, and mentorship.

Qualifications:

• 2 to 3+ years of relevant work experience around data management, data quality, financial or regulatory reporting, product control in large financial services, consulting, shared services’ operations related or similar industry;

• Solid analytical skills, combined with an ability to deliver analyses in a concise and logical manner;

• Logical and analytical data tracing/mining experience is a plus;

• Knowledge of research methods, relational database or data relation discipline problem solving;

• Intermediate to advance working knowledge and experience on MS Suite Applications especially around MS Excel, Word, PowerPoint and Access;

• SQL knowledge is highly preferred;

• Knowledge of bank product/s (Deposits, Loans, Securities, Derivatives, etc.) is preferred;

• Knowledge of Citi’s financial and regulatory reporting processes, finance and risk systems including GENESIS, Full Suite, Product Processors, General Ledgers, Reporting Ledgers is preferred;

• Knowledge of similar Quality Assurance / Citi Lean / Process Improvement practices (as applied to data quality operations);

• Excellent critical thinking, problem-solving (error detection, root cause analysis, error correction), conceptual, analytical and decision making skills;

• Good verbal and written communication, interpersonal and presentation skills – must be able to present and influence across organization level and functions;

• Good project / time management and organizational skills; good attention to details;

• Self-starter, proactive, quick learner, customer-focused with ability to independently manage work and drive multiple deliverables concurrently in a fast paced changing environment;

• High caliber team player with good judgment, flexibility and productivity with good track record in establishing partnership and team work;

• Ability to multi-task, demonstrating independent leadership skills;

• Possess strong team building, planning and project management skills driven by process improvement;

• Strong understanding and appreciation of internal control environment, reporting, and metrics is required.

Education:

• Bachelor's/University degree or equivalent experience

Additional Responsibilities:

• Support data provisioning projects required to meet Finance regulatory and manegement requirement.

• Support the operational execution of activities defined in the Finance Data Provisioning operating model.

Job Family Group:

Data Governance

Job Family:

Data Quality & Data Quality Analytics and Reporting

Time Type:

Full time

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Citi is an equal opportunity and affirmative action employer.

Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.