Advanced Data & Insights Analyst

U.S. Bank • Minneapolis, MN

2d • Hybrid

About The Position

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. Job Description We’re seeking an Advanced Data & Insights Analyst to join our Deposits & Growth Studio Analytics team within Enterprise Analytics & Customer Experience (EACX). This role focuses on turning complex data into insights that inform strategy, improve customer experiences, and support business growth. In this role, you’ll work on large scale analytics initiatives, gathering and integrating data from multiple sources, performing analysis, and developing actionable insights used across the organization. You’ll partner closely with product, growth, and strategy teams, applying descriptive analytics, data engineering, and visualization to answer business questions and enable data driven decision making.

Requirements

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

Nice To Haves

• Experience in financial services, with an understanding of banking data and industry dynamics.
• Strong problem solving skills and a strategic mindset.
• Advanced SQL skills for querying and analyzing large, complex datasets.
• Expertise building user friendly, scalable Power BI dashboards.
• Ability to perform descriptive and advanced statistical analysis on large datasets.
• Proven ability to translate analytical findings into actionable business insights.
• Working knowledge of analytics tools such as SQL, Python, R, Excel, Hadoop, SAS, SPSS, and geo spatial tools.
• Exposure to cloud platforms such as Azure or Databricks.
• Experience with advanced analytics or predictive modeling.
• Strong project management, communication, and stakeholder engagement skills.
• Organized, adaptable, and comfortable working in a fast paced environment.

Responsibilities

• Analyze large, complex datasets to identify trends, patterns, and opportunities in retail consumer and banking data.
• Conduct deep dive analyses and apply statistical techniques to deliver clear insights and recommendations.
• Build intuitive, scalable Power BI dashboards that support leadership decision making.
• Source, integrate, and model data from multiple systems; build and refine data pipelines for reporting and analytics.
• Collaborate with data engineering and business partners to improve data quality and infrastructure.
• Translate business questions into analytical work and communicate findings to both technical and non technical audiences.
• Measure and monitor the impact of recommendations and adjust analyses as needed.
• Ensure all data acquisition, sharing, and outputs comply with company standards.

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from 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 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
• Number of Employees: 5,001-10,000 employees