Cloud Data Analyst

U.S. Bank • Minneapolis, MN

3d • $98,175 - $115,500 • Hybrid

About The Position

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.

Requirements

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

Nice To Haves

• 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level