Finance Data Management Analyst

Wells Fargo

. Participate in low-to-moderate complexity data-quality and defect-management initiatives .

Posted 11/3/2026full-timeUnited StatesJuniorMid-Level💰 $68,000 - $114,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data quality management, including SQL querying and analysis, defect management, and data lifecycle research. Proficient in utilizing AI tools like Microsoft Copilot for enhanced productivity and effective communication of technical findings.

Highest-signal resume keywords

SQL ExperienceData Quality ManagementDefect ManagementData AnalysisAI Tools Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Quality ControlRoot-Cause AnalysisData ReconciliationData ProfilingData ValidationData Metrics PreparationData Quality ConceptsIssue ManagementData TransformationData Lifecycle Research

Soft Skills

Effective CommunicationProblem-SolvingCollaborationAttention to DetailTime Management

Tools & Technologies

Microsoft CopilotJIRAServiceNowPower BIAutomation Tools

Industry Keywords

Banking ProductsFinancial ProductsRegulatory DataOperational DataGeneral LedgerRisk Management

Tech Stack

Tools & technologies

PythonServiceNowSQL

About the role

Key responsibilities & impact

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 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 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
Identify opportunities to improve or simplify defect-management processes through standardization, reporting, and automation

Requirements

What you’ll need

2+ years of data quality, data analysis, or data management experience, or equivalent demonstrated through work experience, training, military experience, or education
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
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
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 of 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
Must be able to work at one of the specified Charlotte, North Carolina or Minneapolis, Minnesota locations
Relocation assistance is not available
Position is not eligible for visa sponsorship

Benefits

Comp & perks

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement
Incentive opportunities may be available