# Finance Data Management Analyst at Wells Fargo

Wells Fargo is hiring a Finance Data Management Analyst. Level rates it Little AI ●○○○; you can [apply on Wells Fargo](https://jobsbylevel.com/go/63390c2f-8d61-42ef-a9e5-e0005b70c9f5?utm_medium=ai-agent).

AI Level 1, AI centrality 29 out of 100. CHARLOTTE, NC.

## Details

- Company: [Wells Fargo](https://jobsbylevel.com/companies/wells-fargo)
- AI level: AI Level 1 (score 29 out of 100)
- Location: CHARLOTTE, NC
- Posted: November 3, 2026
- Apply: https://jobsbylevel.com/go/63390c2f-8d61-42ef-a9e5-e0005b70c9f5?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=finance-data-management-analyst-at-wells-fargo-71925d

## Description

About this role: Wells Fargo is seeking a Data Management Analyst to support defect management within Finance Data Operations. The position will analyze data-quality concerns, support the resolution of defects, and help ensure that data used by Finance is complete, accurate, timely, and fit for its intended purpose. The analyst will work with Finance, Operations, Technology, data providers, product teams, and data consumers to research issues, document impacts, identify ownership, and track remediation. In this role, you will: Participate in low-to-moderate complexity data-quality and defect-management initiatives. Analyze data-quality control failures, reconciliation exceptions, production issues, and reported data concerns using SQL and other analytical tools. Research issues across the data lifecycle to identify affected data, potential root causes, business impacts, and accountable parties. Manage assigned defects from intake and triage through remediation tracking, validation, evidence collection, and closure. Support the execution, analysis, and enhancement of data-quality rules, controls, tactical adjustments, and remediation solutions. Maintain complete and accurate defect records, status information, supporting documentation, and management reporting. Prepare defect metrics and trend analysis to identify recurring issues, aging items, remediation barriers, and matters requiring escalation. Communicate findings clearly to business and technical stakeholders and collaborate with partners to support timely resolution. Use approved AI tools, including Microsoft Copilot, to improve research, analysis, documentation, and productivity while validating outputs before business use. Identify opportunities to improve or simplify defect-management processes through standardization, reporting, and automation. Required qualifications: 2+ years of data quality, data analysis, or data management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, or education. Desired qualifications: 1+ years of SQL experience, including querying, joining, aggregating, reconciling, and analyzing structured data. Knowledge of banking or financial products and Finance, accounting, general ledger, regulatory, risk, or operational data. Demonstrated ability to investigate data discrepancies, identify patterns, document findings, and reach supportable conclusions. Ability to communicate technical or data-related findings clearly in written and verbal form. Ability to use current AI and productivity tools, including Microsoft Copilot, and validate AI-assisted outputs before using them in analysis, documentation, or reporting. Ability to manage assigned work, maintain accurate records, meet deadlines, and escalate risks or impediments appropriately. Experience with data defects, data-quality controls, reconciliations, production support, issue management, or root-cause analysis. Experience profiling or validating large datasets. Understanding data-quality concepts, including completeness, accuracy, timeliness, validity, consistency, and reconciliation. Familiarity with JIRA, ServiceNow, data-quality platforms, workflow tools, or similar issue-management applications. Experience preparing defect metrics, dashboards, trend reporting, or management information. Familiarity with Python, Power BI, automation tools, or AI-assisted data analysis. Understanding of data lineage, metadata, source-to-target mapping, or data transformation. Experience working with India- and US-based stakeholders in a global operating model. Job Expectations: This position offers a hybrid work schedule from our 11625 N. Community House Road, Charlotte, NC 28202 or 550 S. 4th Street, Minneapolis MN 107935 locations. Relocation assistance is not available for this position This position is not eligible for Visa sponsorship Specific compliance policies may apply regarding outside activities and/or personal

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/finance-data-management-analyst-at-wells-fargo-71925d

Source: https://jobsbylevel.com/jobs/finance-data-management-analyst-at-wells-fargo-71925d

## Cite this page

Level. https://jobsbylevel.com/jobs/finance-data-management-analyst-at-wells-fargo-71925d.

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