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The Data Quality Analyst is responsible for assessing the health of enterprise data, leveraging existing enterprise DQ tools, as well as ‘hands-on’ implementation of data quality controls in alignment with approved business rules and foundational data quality principles, showing progress and adherence to the Firm’s Data Governance Policy and its principles as amended from time to time. In addition, the Data Quality Analyst will support the design and implementation of DQ metrics and progress reporting to various forums and councils; documenting and improving operational processes, including approval and escalation plans, data risk and controls adoption and implementation. The person in this role will partner with subject matter experts in Regulatory Reporting, Compliance, Technology, and others in the Category IV program to drive data strategy, help remediate data concerns and implement the appropriate data quality controls, where applicable, to ensure sound data integrity going forward.

Essential Duties and Responsibilities

+ Fully understand various data and reporting flows across the Regulatory Reporting areas to identify and execute remediation with systemic implementations in partnership with the Business and Technology teams.

+ Collaborate across multiple stakeholder groups, primarily Technology and Business teams, to design, operationalize and monitor detective and preventive data quality controls.

+ Correspond and execute deliverables aligned with principles, policies, frameworks and procedures laid at the firm or business unit or function levels as per the guidance from the Chief Administrative Officer heading up the Business Controls & Risk function.

+ Contribute to data quality control implementations, control design enhancements, process and technological improvements to realize efficiencies for improving timeliness and accuracy of existing and new reporting artifacts.

+ Track, resolve and escalate issues for own projects while keeping relevant stakeholders informed.

+ Support the maintenance of project deliverables including reporting and tracking status using PowerPoint, Excel, SharePoint, Teams and Microsoft Azure DevOps (TFS) tracking tool.

+ Support the creation of effective presentations to be used with business audiences of various levels.

+ Lead day to day activities to support data quality resolution, and to optimize metrics reporting process.

Knowledge of

+ Foundational data quality principles and how they contribute to ‘fit for purpose’ data.

+ Concepts, principles and practices of internal controls and data management and governance.

+ Principles of banking, finance and securities industry operations, and familiarity with accounting and finance related topics

+ General familiarity with risk and control framework of Category IV financial institution.

+ Concepts of business analytics and familiarity with business intelligence tools such as Python, Tableau, Qlik, MS Power BI, MS Teams, SharePoint, etc.

+ Experience in using data gap remediation and data quality monitoring tools (particularly Microsoft DevOps (TFS), Ab Initio, Collibra, IBM InfoSphere or Informatica Data Quality) is a plus.

+ Familiarity with Federal Reserve Bank (FRB) and/or Office of the Comptroller of the Currency (OCC) regulatory requirements is a plus.

Skill in

+ Hands-on expertise in leveraging data quality platforms and monitoring tools to assess data health and identify data quality exceptions

+ Deep understanding of enterprise data management concepts, principles and current industry practices.

+ Strong “soft” skills in collaboration, facilitation, coordination, logistics, presentation, marketing, and excellent communication skills (both written and verbal).

+ Experience delivering data quality improvements in a complex, transforming, multi-national banking environment.

+ Organizational and planning skills, showing an ability to operate in a multi-geography, matrix organization; managing and where necessary leading activities through cross-functional teams, with the discipline to track delivery of complex deliverables over multiple months.

+ Excellent communication skills (both written and verbal), including the ability to present complex concepts and strategies successfully.

+ Demonstrated strong execution capabilities and entrepreneurial mindset to go above and beyond delivering core responsibilities.

Ability to

+ Ability to understand data models and taxonomies, with deep skills in data quality, controls and remediation.

+ Produce and articulate meaningful data quality metrics and KPI

+ Exceptional analytical, conceptual, problem-solving, prioritization abilities.

+ Help drive data quality strategy and foster data culture across the organization

Education/Previous Experience

+ BS/BA degree in Computer Science / Business / MIS (equivalent combination of education, experience and/or training approved by Human Resources) preferred, with a minimum of 3-5 years of Data Governance experience.

+ Any equivalent combination of education, experience and/or training approved by Human Resources

Licenses/Certifications

+ None required but industry certification around data management and data quality controls desired (DAMA-DMBOK/DCAM or similar)