What are the responsibilities and job description for the Senior Data Quality Analyst position at wellsfargo?
Title: Senior Data Quality Analyst – Regulatory Reporting
Location: 550 S Tryon St Charlotte, NC
Duration: 3 months
Work Engagement: W2
Work Schedule: hybrid
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
We are seeking a highly skilled Senior Regulatory Data Quality Analyst to support data integrity, governance, and compliance initiatives across our Commercial Banking organization. This role plays a critical part in ensuring the accuracy, consistency, and regulatory readiness of data used for key reporting obligations. The ideal candidate combines strong technical expertise with a deep understanding of regulatory frameworks and commercial banking data.
Responsibilities:
Regulatory Data Compliance & Quality
Ensure data integrity and adherence to regulatory reporting requirements, including FR 2052a, FR Y‑14Q/Y‑14M, CRA, and BSA/AML.
Analyze large and complex datasets to identify data quality gaps, inconsistencies, and anomalies.
Define, document, and maintain data quality rules, controls, and associated metadata.
Data Governance & Lineage
Conduct data lineage analysis to trace end-to-end data flows across systems and processes.
Maintain data documentation, frameworks, and governance standards in alignment with enterprise data policies.
Partner with internal stakeholders to investigate, triage, and resolve data issues.
Business & Technical Analysis
Translate complex business requirements into clear and actionable technical specifications.
Perform data profiling, data modeling analysis, and metadata management.
Facilitate cross-functional working group sessions to drive alignment and issue resolution.
Qualifications:
Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
Advanced proficiency in SQL, Excel, and data profiling methodologies.
Expertise in data quality principles, frameworks, and regulatory reporting.
Experience with data modeling, lineage analysis, and metadata management.
Familiarity with major regulations including FR Y‑14Q, BSA/AML, and 2052a.
Excellent written and verbal communication skills.
Strong stakeholder management, analytical thinking, and problem‑solving capabilities.
Highly organized, detail‑oriented, and able to prioritize multiple initiatives.
Experience leading or facilitating cross-functional working groups.
Strong background in financial services, especially within Commercial Banking.
Bachelor’s or Master’s degree in Computer Science, Data Analytics, Finance, or a related field.
Experience with data quality tools such as Ab Initio IT Express, Alteryx, Qualytics, or similar. (preferred)
Familiarity with Google Cloud Platform (GCP), specifically BigQuery. (preferred)
Knowledge or hands‑on exposure to AI platforms, including Tachyon, Microsoft Copilot, and ChatGPT. (preferred)