Data Quality Analyst

A financial firm is looking for a Data Quality Analyst to join their team in Irving, TX.

Duration: 1 year

The SM&C Data Office is critical to managing Banking's businesses and to meet numerous regulatory and management reporting requirements. The SM&C Data Office partners with Banking's SMB (Data Operations), Services, Markets, Clients, Banking businesses and operations, as well as Global Functions including Finance, Risk, and Compliance in an enterprise-wide data quality management discipline continuously striving to improve, monitor, measure, and control data quality. This team's remit also includes delivering project management, business analysis, and strategic planning services leading to improved controls and efficiencies in infrastructure and operational processes. The SM&C Data Office is responsible for planning, implementation, communications, training, compliance monitoring, and establishment of Banking's Controlled Data Management Environment supporting our Enterprise Information Assets.


The Data/Information Mgt Analyst is a strategic professional who stays abreast of developments within own field and contributes to data transformation and remediation strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.

Responsibilities:
• This function covers incumbents responsible for various data activities, which include data analysis, maintenance, data quality, and data remediation management for one or many group lines of business
• Day-to-day focus is on resolution of complex problems or transactions, where expertise is required to interpret against policies, guidelines or processes
• Role at this level usually has full ownership for one or more processes, reports, procedures or products, and may also be considered analytical or procedural experts representing a unit or team on cross-function process or project deliverables
• May supervise day-to-day work of junior level employees
• Prepare status reports for working group, steering committee, and executives
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Banking, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Mandatory Skills:
• 6-10 years' experience with implementing data quality programs in a large global bank or Big Four consulting firm
• Solid understanding of the Client ICM, Capital Markets, Commercial Banking, Security & Issuer Services, Research, Reference, and Master Data
• Must have experience with Data Quality and managing and resolving large amount of data quality issues for organizations such as Capital Markets, Commercial Banking, Security & Issuer Services, Research, Reference, and Master Data
• Strong organizational skills with a demonstrated ability to present a balanced view to key stakeholders, senior management, and IT partners

Preferred Skills:
• Experience in data stewardship and technical expertise in Client technology or business
• Creative problem-solving skills with a passion to drive analytics
• Ability to give focused attention to details and deliver high quality work while managing competing priorities under pressure

Education:
• Bachelors/University degree, Master's degree preferred
• Data Quality/Data Management Certification preferred

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