Job at a glance
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 An experienced Data Analyst who works independently and is passionate about knowledge sharing, problem solving, technology modernization, and process transformation. This role partners with teams across Enterprise Analytics & Customer Experience (EACX) to enable, govern, and accelerate the migration of analytics and reporting solutions from on-premises platforms to cloud-based technologies.
The position serves as a trusted advisor and consultant for analytics modernization initiatives, providing expertise on cloud tools, architecture patterns, data governance, and best practices while helping business teams successfully migrate data engineering, reporting, auditing, reconciliation, and advanced analytics use cases to modern cloud environments. In addition to cloud migration efforts, this role supports the Marketing Data Platform (MAD) ecosystem by facilitating project intake requests, troubleshooting production issues, coordinating with engineering teams, and ensuring data products meet business needs, quality standards, and SLA requirements.
Key Responsibilities Cloud Analytics Migration & Consulting Provide technical guidance and consultation on Python, SQL, Databricks, Snowflake, Azure Synapse, Azure Data Factory, and other cloud-native technologies. Define and socialize cloud architecture patterns, coding standards, development frameworks, and governance practices. Assist stakeholders with environment setup, onboarding, documentation, metadata management, training materials, and access requirements.
Partner with analytics, marketing, and business stakeholders to migrate data mining, auditing, data quality, aggregation, ETL/ELT, reconciliation, reporting, and visualization workloads from legacy platforms such as SAS, Alteryx, Power BI, and Tableau to cloud-based solutions. Stakeholder Engagement Act as a liaison between business users, product owners, analytics teams, and technology partners. Conduct discovery sessions to understand business objectives, data needs, dependencies, risks, and migration readiness.
Production Support & Issue Troubleshooting Lead root cause analysis and troubleshooting efforts for analytics and data platform production issues. Partner with engineering teams to investigate data quality concerns, pipeline failures, reconciliation discrepancies, performance bottlenecks, and reporting issues. Coordinate resolution of data availability and system integration issues impacting marketing and analytics workloads.
Establish monitoring, alerting, incident management, and operational support processes to improve platform reliability and user experience. Track production defects, enhancement requests, and remediation activities while providing stakeholder communication and status updates. Data Governance & Quality Contribute to governance frameworks supporting cloud-based analytics solutions in multi-tenant environments.
Develop and monitor controls related to source code management, data quality, data validation, reconciliation, and observability. Support implementation of data lineage, metadata, and governance capabilities using enterprise data management tools. Data Platform & Business Collaboration Work closely with data engineers, analysts, product owners, and business teams to ensure critical datasets are available, reliable, and accessible.
Support marketing data workflows, customer analytics initiatives, audience management proces