Senior Digital Platform Analyst - Movement

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.

We’re looking for a Senior Digital Platform Analyst to serve as the analytics and data engineering leader for our Money Movement platform
, supporting critical payment capabilities such as ACH, RTP, and Wires
. This role sits at the intersection of data, digital platforms, and banking operations—and plays a key role in shaping how money moves through one of the largest financial institutions in the country.

You’ll be the trusted analytics and engineering partner to multiple Platform Owners, helping them turn complex data into actionable insights, scalable solutions, and measurable business outcomes. Your work will directly influence platform strategy, optimization efforts, and executive decision‑making—including visibility at the C‑suite level
.

• Own end‑to‑end analytics and data engineering for the Money Movement platform, acquiring and integrating data from multiple internal and external sources.
• Analyze complex, high‑volume datasets to uncover trends, patterns, and opportunities that inform platform performance, customer experience, and business growth.
• Translate analytical findings into clear, compelling insights and recommendations
  , enabling leaders to make confident, data‑driven decisions.
• Design and maintain repeatable, well‑documented workflows that support scalable analytics and engineering solutions.
• Partner closely with Platform Owners to identify, prioritize, and deliver high‑impact initiatives aligned to their strategic goals.
• Measure and monitor the effectiveness of implemented recommendations, proactively refining approaches based on results.
• Collaborate across Digital Analytics, Enterprise Analytics, Technology & Operations (TOS), and Enterprise Data Governance (EDG) to ensure a holistic, enterprise‑ready approach.
• Ensure all data acquisition, sharing, and analytical outputs adhere to company standards, governance, and compliance expectations.
• Elevate storytelling and presentation quality—your insights help inform executive‑level discussions and long‑term platform strategy.

An example aspiration for this role: helping deliver the most optimized digital sales and payment funnel in the industry
.

• You’ll be the go‑to analytics and engineering expert for multiple high‑visibility platforms.
• Your work directly influences how customers and businesses move money—securely, efficiently, and at scale.
• You’ll operate with significant autonomy while partnering with senior leaders across technology, analytics, and operations.
• Accuracy, attention to detail, and polished communication truly matter here—your work reaches the highest levels of the organization.

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

• Deep familiarity with Money Movement and payments systems
  , including ACH, RTP, and Wire transactions
  , with a strong understanding of how these payment types operate behind the scenes and integrate with banking platforms, data flows, and downstream systems.
• Advanced proficiency in Python, PySpark, DBT, Airflow
  , and Azure technologies (Data Factory, Synapse, Data Lake).
• Experience working in modern data environments such as Databricks and Snowflake (preferred).
• Strong working knowledge of Git Lab and Visual Studio to support version control, collaborative development, and production‑ready workflows.
• Demonstrated success leading or supporting data migrations across multiple platforms
  , ensuring data integrity and performance.
• Experience with analytics and statistical tools such as SQL, R, Excel, Hadoop,…