Wells Fargo

Data Analyst (contract)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst (contract) focused on Basel III Capital & Risk Reporting in Charlotte, NC, for 6 months at a pay rate of "pay rate." Key skills include data analysis, SQL, Excel, and Python. Experience in regulatory reporting is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 10, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#Microsoft Excel #Data Mapping #"ETL (Extract #Transform #Load)" #Integration Testing #Data Governance #Documentation #SQL (Structured Query Language) #Data Accuracy #Data Lineage #Data Analysis #Pivot Tables #Python #UAT (User Acceptance Testing) #Business Analysis #Data Quality #Data Manipulation #Data Management
Role description
Title: Data Analyst – Basel III Capital & Risk Reporting Location: 550 S Tryon St Charlotte, NC Duration: 6 months Work Engagement: W-2 Work Schedule: 4 days in office/1 day remote Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits Summary: We are seeking an experienced Data Analyst to support strategic Basel III Capital & Risk Initiatives. This role will focus on data management, data sourcing, data mapping, data quality analysis, and testing activities that support regulatory capital and risk reporting processes. The successful candidate will partner with cross-functional teams to ensure critical Basel III data is accurately sourced, validated, transformed, tested, and delivered to downstream risk and capital calculation platforms. This position is ideal for a detail-oriented professional with strong analytical skills, hands-on data experience, and a background in risk, finance, regulatory reporting, or financial services. Responsibilities: • Support Basel III capital and risk reporting initiatives through data management and data quality activities. • Analyze, source, validate, and reconcile data used in regulatory capital and risk reporting processes. • Perform data mapping and source-to-target analysis to ensure accurate movement and transformation of data across systems. • Execute data validation, reconciliation, and testing activities to verify data accuracy and completeness. • Collaborate with business, technology, risk, finance, and regulatory reporting teams to resolve data issues and improve data quality. • Conduct data analysis using SQL, Excel, and Python to identify anomalies, trends, and data quality concerns. • Support integration testing, user acceptance testing (UAT), and reconciliation testing for data-related initiatives. • Document data requirements, mappings, validation results, and testing outcomes. • Ensure adherence to data governance, data lineage, and regulatory reporting standards. • Assist in identifying process improvements and opportunities to increase efficiency and accuracy in capital reporting processes. Qualifications: • Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship. • Experience in: • Data Analysis • Data Management • Data Mapping • Testing and Validation • Business Analysis within Risk, Finance, Regulatory Reporting, Financial Services, or related environments. • Experience supporting regulatory, risk, capital, or enterprise data initiatives. • Advanced proficiency in Microsoft Excel, including: • Complex formulas and functions • Pivot Tables • Data analysis and reporting • Reconciliation and validation activities • Strong SQL skills, including: • Data validation and reconciliation • Joins and aggregations • Data analysis and investigation • Experience using Python for: • Data manipulation and analysis • Data validation • Testing and reconciliation activities • Experience supporting Basel III, regulatory capital, or risk reporting programs. (preferred) • Knowledge of regulatory capital reporting frameworks and related data processes. • Experience with: • Source-to-target mapping • Data lineage documentation • Data governance practices • Experience executing: • Integration Testing • User Acceptance Testing (UAT) • Reconciliation Testing • Prior experience working within large financial institutions and highly regulated environments. • Familiarity with enterprise data management and risk reporting platforms. • Excellent analytical, problem-solving, and critical-thinking abilities. • Strong verbal and written communication skills. • Ability to manage multiple priorities and work independently within a fast-paced environment.