Strategic Risk Analytics Data Analyst

U.S. Bank; Minneapolis (MN); On-site; USD 93,000 - 109,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) retirement plan

Paid time off

Job summary

U.S. Bank in Minneapolis, MN is seeking a Data Analyst to join Strategic Risk Analytics and Governance. You will translate data into actionable insights for risk partners and senior management, supporting liquidity, interest rate, capital, and market risk analyses.

The role emphasizes data quality, automation, and clear communication. Strong SQL, Python or R, and experience with Power BI or Tableau are expected, along with collaboration across Treasury and risk teams.

Qualifications

• Bachelor’s degree or equivalent work experience.
• 3+ years in data analytics, financial risk management, banking, or related field.
• Proficiency in SQL and advanced spreadsheet analysis; Python or R preferred.
• Experience with Power BI or Tableau for data visualization.
• Ability to work with large datasets and document analytical logic.

Responsibilities

• Collect, organize, validate, and analyze data from multiple sources for strategic risk analysis.
• Support cross-risk analysis across liquidity, interest rate, capital, market risk, and regulatory reporting.
• Prepare governance reporting and presentations for risk committees and senior management.
• Automate recurring data preparation and reporting processes with quality-control procedures.
• Collaborate with Treasury and risk partners on analytics and initiatives.

Skills

SQL

Python

R

Power BI

Tableau

Excel

Data visualization

Analytical thinking

Communication

Project management

Education

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

Tools

Power BI

Tableau

Job description

U.S. Bank in Minneapolis, MN is seeking a Data Analyst to join Strategic Risk Analytics and Governance. You will translate data into actionable insights for risk partners and senior management, supporting liquidity, interest rate, capital, and market risk analyses.

The role emphasizes data quality, automation, and clear communication. Strong SQL, Python or R, and experience with Power BI or Tableau are expected, along with collaboration across Treasury and risk teams.