Data Analyst – Credit Card Portfolio Analytics

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career.

Try new things, learn new skills and discover what you excel at—all from Day One.

Join a high-performing analytics team focused on supporting Elan's credit card and payments portfolio. This role combines technical analytics, financial analysis, and business partnership responsibilities to help uncover actionable insights and drive strategic decisions.

Responsible for working on big data/analytics projects that gather and integrate large volumes of data, performs analysis, interprets results and develops actionable insights and recommendations for use across the company. Acquires data from multiple data sources in order to perform analysis. Identifies, analyzes and interprets trends or patterns in complex data in order to provide answers to business questions as well as provide recommendations for action.

Interprets data and analyze results using various statistical techniques and tools. Presents data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations so they activate upon them and make data driven decisions. Collaborate with various partners to provide a holistic view of the analysis. Measures and monitors results of applied recommendations and present adjustments.

Ensures all data acquisition, sharing and results of applied recommendations are compliant with company standards.

• Bachelor's degree in a related field, or equivalent work experience
• Five to seven years of statistical and/or data analytics experience

• Working knowledge of analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, and others to perform analysis and interpret data
• Experience in analytics, advanced analytics/statistics, predictive modeling
• Tableau or Power BI experience
• Credit card, payments, or banking experience preferred