Enterprise Data Quality Analyst

Overview

This is a remote role that may be hired in several markets across the United States.

We are seeking a technically strong Data Quality Analyst who can take ownership of building and implementing data quality rules within a Data Quality tool. This role will be key to operationalizing data quality processes across the bank by combining strong SQL/Python skills with deep hands-on experience in data profiling, rule creation, and monitoring.

Responsibilities

• Design, develop, and maintain data quality rules, checks, and scorecards within a DQ tool (e.g., Informatica DQ, Collibra, Ataccama etc.)
• Conduct data profiling and analysis to identify quality issues and opportunities for improvement
• Collaborate with business data owners to translate requirements into technical DQ rules and thresholds
• Use SQL and Python to support custom rule logic and data manipulation where needed
• Visualize and communicate data quality results using tools like Tableau or Power BI
• Automate monitoring and alerting for data quality exceptions
• Document DQ rules, logic, and data issue workflows for traceability and audits
• Participate in root cause analysis and partner with data stewards and engineering teams to drive resolution
• Provide input into data governance initiatives, including data lineage, metadata management, and stewardship workflows

Qualifications

Bachelor's Degree and 4 years of experience in Data Management, Financial Analysis, or similar OR High School Diploma or GED and 8 years of experience in Data Management, Financial Analysis, or similar

• Proven hands-on experience building rules and scorecards in a Data Quality tool (e.g., Informatica DQ, Ataccama, Collibra DQ, etc.)
• Strong knowledge and proficiency in SQL
• Proficiency in Python for data manipulation and automation
• Experience with data visualization tools such as Tableau or Power BI
• Strong understanding of data quality dimensions (accuracy, completeness, consistency, etc.)
• Ability to translate business data needs into technical DQ specifications
• Experience working with large datasets, ideally in financial services or banking
• Knowledge of data governance and regulatory frameworks (e.g., BCBS 239, GDPR) is a plus

Key Skills & Attributes:

• An agile mindset with experience working in Scrum and/or Kanban environments
• Excellent analytical and problem-solving skills to identify and resolve data discrepancies
• Strong communication skills to collaborate effectively with cross-functional teams and stakeholders
• Ability to work independently, prioritize tasks, and manage multiple projects simultaneously
• Leadership qualities and interest in mentoring junior team members and driving data quality initiatives

Nice to Have:

• Familiarity with data catalog or metadata tools
• Exposure to cloud data platforms (AWS, Azure, Google Cloud Platform)
• Experience with CI/CD pipelines and integrating DQ processes into data workflows

This job posting is expected to remain active for 45 days from the initial posting date listed above. If it is necessary to extend this deadline, the posting will remain active as appropriate. Job postings may come down early due to business need or a high volume of applicants.

The base pay for this position is generally between $120,000 and $180,000. Actual starting base pay will be determined based on skills, experience, location, and other non-discriminatory factors permitted by law. For some roles, total compensation may also include variable incentives, bonuses, benefits, and/or other awards as outlined in the offer of employment.

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at

$descr2

$descr3