Senior Data Product Analyst

Job Description

We are seeking a data-savvy, product-minded professional to support the delivery and evolution of data products within our Marketing Analytics (MACX) and Enterprise Analytics (EACX) organizations. This role operates at the intersection of data engineering and product ownership, focused on building, refining, and supporting scalable data assets that enable analytics and marketing insights across the business.

• Work on large-scale data and analytics initiatives involving the integration and analysis of complex, high-volume datasets.
• Acquire, transform, and manage data from multiple sources to support analytics and business decisioning.
• Develop and maintain data pipelines, structures, and datasets within the data environment.
• Analyze data to identify trends, patterns, and opportunities; provide actionable insights and recommendations.
• Interpret results using statistical and analytical techniques and present findings in a clear, concise manner.
• Partner with analytics teams and business stakeholders across multiple lines of business (e.g., business banking, consumer banking, wealth and institutional).
• Translate business needs into scalable data products and continuously refine solutions based on user feedback and adoption.
• Support internal users by ensuring data accessibility, usability, and accuracy.
• Create documentation and knowledge resources to support onboarding and sustained use of data products.
• Measure and monitor data product performance, usage, and integrity; recommend improvements as needed.
• Ensure all data acquisition, usage, and outputs align with company standards and compliance requirements.

• Bachelor's degree in a related field, or equivalent work experience.
• 5 to 7 years of statistical and/or data analytics experience.

• Working knowledge of analytics and statistical tools such as SQL, Python, Excel, and cloud platforms (e.g., AWS, Azure).
• Experience with advanced analytics and statistical methods.
• Strong analytical skills with the ability to extract, organize, analyze, and interpret trends or patterns from complex data sets.
• Experience developing and maintaining data pipelines and working with relational and non-relational databases.
• Exposure to cloud-based data environments and data migration efforts from on-premise systems.
• Familiarity with Microsoft SQL Server, Snowflake, Postgres, and Azure data technologies.
• Experience with data visualization tools is a plus.
• Demonstrated project management and prioritization skills.
• Ability to work across technical and business teams, translating requirements into actionable data solutions.
• Effective interpersonal, verbal, and written communication skills.

• 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

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. Learn more about the E-Verify program.

Pay Range: $ - $