Data Quality Lead Analyst

Duties

• Issue identification, escalation, and remediation for Credit Valuation Adjustment (CVA) risk data.
• Perform data quality analysis by assessing, evaluating and analyzing data, setting controls and guidelines for measurement, evaluation, adoption and communication of Data Quality and its associated risk.
• Monitor KPIs and metrics for data quality.
• Define and interpret data quality issues.
• Lead project and initiative management related to CVA data improvements.
• Support activities to drive Data Quality measurement, produce Data Quality dashboards and reports, and implement Data Quality strategies to effectively govern data and improve Data Quality.
• Collaborate with counterparts and build partnerships to monitor and remediate data concerns.
• Understand data needs for regulatory and internal reporting, navigating various systems and providing in-depth analysis of data quality issues.
• Supervise financial reconciliation and data quality measurement of CVA data.
• Utilize Excel, VBA, MS Access, SQL/programming to analyze and interpret data.
• Prepare and present Tableau based reports to senior management on CVA data statistics, quality issues, and escalations.
• Deliver regular and ad-hoc CVA data deliverables.
• Liaise with other areas of the firm to understand data challenges and solutions, and run data consumption demand and requirements.
• Review quality analysis results and disposition data challenges through Citi’s corresponding Data/Issue management process.
• Lead day to day activities to support data quality resolution, and to optimize metrics reporting process.

Requirements

• Requires a Master’s degree or foreign equivalent in Business Analytics, Information Technology and Management or related field and 3 years of experience as a Business Analyst, Business Intelligence Analyst, Management Reporting Senior Analyst, Risk Reporting Analyst, Risk Reporting Officer or related position developing KPIs and metrics for business intelligence reporting at a global financial services industry.
• Alternatively, employer will accept a Bachelor’s degree in the stated fields and 5 years of the specified progressively responsible, post-baccalaureate experience.
• Full span of experience must include: Data Analysis and Interpretation; Market Risk Management; Excel, VBA, MS Access, SQL, Tableau and Python; Ad-hoc reporting for senior management; and Project Management for data analytics initiatives.