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Data Product Analyst

Job in Minneapolis, Hennepin County, Minnesota, 55400, USA
Listing for: Relha LLC
Full Time position
Listed on 2026-09-06
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Warehousing, Data Science Manager
Salary/Wage Range or Industry Benchmark: 105000 - 124000 USD Yearly USD 105000.00 124000.00 YEAR
Job Description & How to Apply Below

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 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. You will partner closely with stakeholders to understand business needs, translate requirements into data solutions, and ensure the quality, usability, and impact of data products within an evolving cloud environment.

Key Responsibilities

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

What You’ll Be Focused On Building and enhancing marketing and analytics data assets

Supporting and modernizing data pipelines, including migration from on-premise to cloud environments

Delivering scalable, high-quality data products that enable downstream analytics and decisioning

Partnering with internal clients to drive alignment, adoption, and impact

Basic Qualifications Bachelor's degree in a related field, or equivalent work experience

Five to seven years of statistical and/or data analytics experience

Preferred Skills/Experience

Working knowledge of analytics and statistical tools such as SQL, Python, Excel, and cloud platforms (e.g., AWS, Azure)

Experience with analytics, 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 tools and platforms such as 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

Why This Role

This role offers the opportunity to contribute directly to the modernization of data capabilities, including cloud migration and the evolution of data products that support critical business decisions. You will play a key role in shaping how data is built, delivered, and leveraged—combining technical…

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