Data Analytics 5

U.S. Bank • Minneapolis, MN

1d

About The Position

This role is part of U.S. Bank’s Consumer and Business Banking (CBB) Loss Forecasting team, which evaluates credit losses across mortgage and consumer portfolios and supports monthly and annual forecasting. The team draws on expertise in technology, finance, statistics, credit, forecasting, modeling, and credit strategy. The position contributes to loss forecasting and analytics, with a strong focus on forecasting experience and model risk governance. The successful candidate will analyze forecast outcomes, evaluate their financial impact, and provide meaningful analysis and insights to business partners. Financial services or banking experience is preferred to support understanding of the credit and financial environment.

The role involves gathering and integrating large volumes of data, analyzing and interpreting results, and developing actionable insights and recommendations. The position collaborates with partners, communicates analysis clearly to support data-driven decisions, monitors the effects of recommendations, and ensures data activities comply with company standards.

Requirements

• Bachelor’s degree in a related field, or equivalent work experience.
• Five to seven years of statistical and/or data analytics experience.
• Strong analytical skills, including the ability to extract, collect, organize, analyze, and interpret trends or patterns in complex data sets.
• Demonstrated project management skills.
• Effective interpersonal, verbal, and written communication skills.

Nice To Haves

• Experience with credit loss forecasting and forecast analysis.
• Experience in unsecured and secured lending.
• Ownership of models and/or experience in Model Risk Governance.
• Banking or financial services experience, particularly within credit, finance, forecasting, modeling, or credit strategy.
• Ability to analyze forecast outcomes and understand their financial impact.
• Working knowledge of analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS, geospatial tools, and others.
• Experience in analytics, advanced analytics/statistics, and predictive modeling.

Responsibilities

• Work on big data and analytics projects that gather and integrate large volumes of data, perform analysis, interpret results, and develop actionable insights and recommendations for use across the company.
• Acquire data from multiple sources to perform analysis.
• Identify, analyze, and interpret trends or patterns in complex data to answer business questions and recommend actions.
• Interpret data and analyze results using statistical techniques and tools.
• Present data and analysis clearly and concisely so audiences can understand results and recommendations and make data-driven decisions.
• Collaborate with partners to provide a holistic view of analysis.
• Measure and monitor results of applied recommendations and present adjustments.
• Ensure data acquisition, sharing, and results of applied recommendations comply with company standards.

Benefits

• Healthcare (medical, dental, and vision).
• Basic term and optional term life insurance.
• Short-term and long-term disability insurance.
• Pregnancy disability and parental leave.
• 401(k) and employer-funded retirement plan.
• Paid vacation (two to five weeks depending on salary grade and tenure).
• Up to 11 paid holiday opportunities.
• Adoption assistance.
• Sick and Safe Leave accruals of one hour for every 30 hours worked, up to 80 hours per calendar year unless otherwise provided by law.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level