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# Data Analyst

- **Company:** U.S. Bank, National Association
- **Location:** Charlotte, NC, United States
- **Experience:** Experienced
- **Salary:** $92,820.0 - $109,200.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Big Data, Spreadsheets, Information Systems, Data Cleansing, Data Integrity, Data Visualization, Python (Programming Language), Microsoft Office, Microsoft PowerPoint, Power BI, SQL Databases, Tableau (Software), Information Technology, Data Analytics
- **Published:** October 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b141c6151ce675c4

## About the Role

* Bachelor's degree, or equivalent work experience
 * Typically more than five years of applicable experience

Preferred Skills/Experience

 * Bachelor's degree or higher in Data Analytics, Finance, Economics, Statistics, Mathematics, Computer Science, Information Systems, or a related field.

 * Three or more years of experience in data analytics, financial risk management, banking, financial services, or a related field; equivalent combinations of education and experience may be considered.
 * Proficiency in SQL and advanced spreadsheet analysis; experience with Python, R, or a comparable analytical programming language is preferred.
 * Experience with data visualization and business intelligence tools, such as Power BI or Tableau, and with Microsoft Office applications, including Excel and PowerPoint.
 * Strong ability to work with large or complex datasets, reconcile information across sources, identify data-quality issues, and document analytical logic and results.
 * Understanding of banking, financial markets, balance-sheet management, or financial risk concepts, including liquidity, interest rate, capital, or market risk, is preferred.
 * Familiarity with applicable banking laws, regulations, regulatory reporting, and risk-management expectations is a plus.
 * Strong analytical, problem-solving, organizational, and project-management skills, with close attention to detail and accuracy.
 * Excellent written, verbal, interpersonal, and presentation skills, including the ability to explain technical findings to non-technical audiences.
 * Ability to manage multiple priorities, work independently, collaborate across functions, and deliver high-quality work within established timelines.
 * Demonstrated intellectual curiosity, sound judgment, and a commitment to effective challenge, continuous improvement, and high standards of data integrity.

## Description

Strategic Risk Analytics and Governance provides analytical, research, and governance support across financial risk disciplines. The team develops risk based data-driven insights, monitors emerging risk and regulatory developments, supports peer and industry benchmarking, and strengthens independent risk oversight through high-quality analytics and reporting. We are seeking a detail-oriented Data Analyst with strong technical, analytical, and communication skills who can translate complex data into clear, actionable insights for risk partners and senior management., * Collect, organize, validate, and analyze data from multiple internal and external sources to support strategic financial risk analysis and governance activities.

 * Support cross-risk analysis across liquidity, interest rate risk, capital, market risk, regulatory reporting, and new or changing products.
 * Monitor data quality, investigate exceptions, document findings, and partner with data owners and risk teams to resolve issues.
 * Prepare clear, concise presentations, governance reporting, and written analyses for risk committees, and senior management.
 * Automate recurring data preparation and reporting processes where appropriate, while maintaining effective review and quality-control procedures.
 * Collaborate effectively with Treasury, Balance Sheet Risk Management, and other business and risk partners.
 * Assist with ad hoc analyses, risk assessments, and strategic initiatives as needed.
 * Keep abreast of analytical techniques, data tools, financial risk trends, regulatory guidance, and industry practices, and apply relevant insights to the team's work.