Cloud Data Analyst

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 processes, and campaign enablement requirements.
• Provide subject matter expertise on banking datasets, analytics platforms, and enterprise data ecosystems.
• Drive adoption of best practices for analytics engineering, reusable assets, and cloud-native development.

Basic Qualifications

• Bachelor’s degree in computer science or related field, or equivalent work experience
• Six or more years of experience in application development

Preferred Qualifications

• Degree in Data Analytics, Computer Science, Math, Statistics, Economics, Finance, or related discipline.
• Experience supporting cloud migration and analytics modernization programs.
• Experience working in Agile delivery environments and CI/CD frameworks.
• Familiarity with Tableau, Power BI, marketing workflows, and banking data domains.
• Experience troubleshooting data pipelines, production issues, and platform support incidents.
• Experience with GitHub, GitLab, DevOps, and source code management practices.
• Understanding of Marketing Data Platforms, campaign execution processes, customer analytics, and enterprise data governance.

Time Allocation

• 70% Stakeholder consultation, cloud migration support, project intake activities, onboarding and issue resolution.
• 30% Development of governance capabilities, monitoring solutions, best practices, operational controls, automation

Location expectations

This role requires working from a U.S. Bank location three (3) or more days per week.

This position is not eligible for visa sponsorship.

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

• 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

Review our full benefits available by employment status here.

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.

E-Verify

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. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.