Enterprise Data Qa Controls Analyst Sr

Position Title
Enterprise Data QA Controls Analyst Sr
Location
NYCB Plaza -102 (Hicksville, NY)
Job Summary
The Senior Enterprise Data QA Controls Analyst is responsible for assessing and validating the consistent quality assurance controls bank-wide that data owners/custodians follow. Ensures compliance by performing quality assurance reviews of business data quality control functions, and periodically performing a process of data profiling and testing to discover inconsistencies and other anomalies in the data, the root cause, and reports results accordingly. Works closely with data owners to maintain metadata, data dictionaries and lineage, as prescribed by Data Governance standards. This data monitoring reduces business, regulatory and reputational risk of poor-quality data, by ensuring the Company's data is predictable, controlled and reliable.
Pay Range: $71,600.00 - $87,947.00 - $132,600.00
Job Responsibilities:

• Collaborates with data owners to identify critical key data items that requires close monitoring and controls, understands key risks, assesses system and business process requirements, data flows and controls.
• Performs data quality control reviews and testing for the purpose of ensuring compliance with established data quality standards and attributes, including business logic testing, document tracing, remediation testing, and other testing as needed.
• Documents test work performed, including issues documentation, tracking and remediation.
• Works with data owners to determine root causes for data quality control failures and supports process improvements and data cleanse activities.
• Analyzes structured and unstructured data and understands data and system relationships, and delivers targeted automated testing results to facilitate efficient support of quality assurance activities.
• Uses repeatable tests, scripts, and data quality testing tools to achieve process efficiencies.
• Utilizes data visualization techniques to provide compelling support for test conclusions suitable for communicating testing results to business audiences.
• Demonstrates interest in learning and applying industry best practices, tools and technologies including the use of robotic process automation, artificial intelligence, and machine learning to advance the quality assurance process.
• Participates in the Data Quality Assurance Working Group, by reporting, being transparent, and execution on common standards and best practice.
• Meets established milestones and deliverables within established timelines, and in adherence to the departmental documentation and quality standards.

ADDITIONAL ACCOUNTABILITIES

• Performs special projects, and additional duties and responsibilities as required.
• Consistently adheres to regulatory and compliance policies and standards linked to the job as listed and complete required compliance trainings. Accountable to maintain compliance with applicable federal, state and local laws and regulations.

JOB REQUIREMENTS
Qualifications:

• Bachelor's degree with specialization in finance, accounting, business administration, management or analytics, or equivalent experience.
• Minimum three (3) years audit, risk management, data quality control or data quality assurance experience in Financial Services Industry or related field, with preference for mortgage and/or retail banking/deposit experience based on assigned focus.
• Experience validating loan and/or deposit data to ensure compliance with business requirements is preferred.
• Experience in developing test script and work papers, and performing data or business process controls testing is a plus.

Job Competencies:

• Knowledge of mortgage and/or retail banking processes, operations and related regulations preferred.
• Computer literate with proficiency in Microsoft Office applications.
• Excellent analytical skills and strong judgment.
• Excellent communications skills, and experience in data visualization tools and techniques is a plus.
• Ability to work with multiple sources of disparate structured or unstructured data.
• Ability to present complex information in a manner that is understandable to a broad non-technical audience.
• Ability to work with all levels of staff and management.
• Ability to handle multiple tasks simultaneously and meet established deadlines.