Data Quality Analyst

Data Quality Analyst

Requirements

• Bachelor’s degree (B.A.) from a four-year college or university or related experience and/or training or equivalent combination of education and experience.
• High proficiency with data quality tools and software (e.g., Purview, Talend, Atlan, CastorDoc).
• Strong SQL skills for querying and analyzing large datasets.
• Knowledge of system development methodologies (Agile, Scrum).
• Familiarity with data management principles, & data governance practices.
• Experience with data cleansing and normalization techniques.
• Excellent analytical, problem-solving, and troubleshooting skills.
• Knowledge of RPA tools (e.g., Automation Anywhere, Power Automate).
• Strong communication, collaboration, and stakeholder management skills.
• Strong understanding of data governance and data management best practices.
• Experience in developing and implementing data quality policies and procedures.

Responsibilities

• Regularly assess the quality of data by checking for errors, inconsistencies, duplicates, and missing information.
• Implement and execute validation checks to ensure data is accurate in source systems and meets business requirements.
• Perform root cause analysis for data quality issues and provide recommendations for process improvements.
• Work with business units to clean and standardize data, ensuring it meets internal data governance standards.
• Ensure systems of record are accurate, consistent, and free of errors through systematic processes.
• Use scripts and/or Robotic Process Automation (RPA) tools whenever possible to automate repetitive data cleansing tasks.
• Partner with and evaluate existing business processes and systems, recommending improvements and optimizations to increase efficiency and effectiveness.
• Generate detailed reports on data quality issues and communicate findings to stakeholders across various departments.
• Continuously monitor data flows and data pipelines to identify issues in real time and resolve them swiftly.
• Create and maintain automated systems for data validation and monitoring to minimize manual intervention.
• Work closely with business analysts, and data engineers to ensure that data meets project specifications and business needs.
• Enforce data governance policies and ensure compliance with legal and regulatory data requirements.
• Assist business units in understanding data governance and make recommendations to improve organization-wide data quality and consistency.
• Document data quality processes, procedures, and standards for ongoing reference and improvement.
• Define and promote effective documentation best practices internally and externally.
• Adhere to all applicable laws and regulations.
• Maintain a working knowledge of security threats, laws, and policy for data privacy and protection.
• Take steps to protect organizational data from accidental or unauthorized damage, modification, or disclosure.
• Adhere to bank policies and procedures designed to comply with Federal regulations, including but not limited to the Bank Secrecy Act, USA Patriot Act and OFAC regulations.
• Commit to a collaborative mindset and perform other duties as assigned in support of the team.

Preferred Qualifications

• Experience in the finance/banking industry with knowledge of related data standards and regulations.
• Experience in automating data quality tasks and improving data management processes.