Data Product Engineer, Analytics & Insights

U.S. Bank; Minneapolis (MN); Hybrid; USD 93,000 - 109,000; Full time

Job summary

U.S. Bank is seeking a data analytics professional to lead and support big data projects, gathering and integrating large datasets, performing analyses, and delivering actionable insights that inform business decisions across the organization.

You will collaborate with partners across the company, apply statistical techniques, identify trends, and present findings in clear terms while ensuring compliant data acquisition and sharing practices that support data-driven strategies.

Qualifications

• Bachelor's degree in a related field or equivalent work experience.
• Four to five years of statistical and/or data analytics experience.
• Experience in analytics, advanced analytics/statistics, predictive modeling is preferred.
• Strong analytic skills to extract, collect, organize, analyze and interpret trends or patterns in complex data sets.
• Demonstrated project management skills and effective interpersonal, verbal and written communication.

Responsibilities

• Work on big data/analytics projects, gathering and integrating large data volumes and developing actionable insights.
• Acquire data from multiple sources to perform analysis and answer business questions.
• Identify and interpret trends or patterns to provide recommendations for action.
• Present data and analyses clearly to enable data-driven decisions.
• Collaborate with partners to provide a holistic view of the analysis and ensure compliance with company standards.

Skills

Analytics

Predictive modeling

Project management

Communication

Education

Bachelor's degree in related field

Job description

U.S. Bank is seeking a data analytics professional to lead and support big data projects, gathering and integrating large datasets, performing analyses, and delivering actionable insights that inform business decisions across the organization.

You will collaborate with partners across the company, apply statistical techniques, identify trends, and present findings in clear terms while ensuring compliant data acquisition and sharing practices that support data-driven strategies.