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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Data Warehouse Analyst - **Company:** U.S. Bank, National Association - **Location:** Hopkins, MN, United States - **Experience:** Expert - **Salary:** $105,400.0 - $124,000.0 - **Contract:** Permanent contract - **Skills:** Adaptable Database Systems, Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Computer Programming, Databases, Continuous Integration, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Database Design, IBM InfoSphere DataStage, DevOps, Distributed Data Store, Github, Python (Programming Language), Meta-Data Management, Performance Tuning, Query Optimization, SQL Databases, Unstructured Data, Google Cloud, Data Storage Technologies, GitHub Copilot, System Availability, Apache Spark, Git, Data Lakes, Kubernetes, Enterprise Integration, Data Management, GPT, Data Pipelines, Serverless Computing, Databricks - **Published:** August 28, 2026 - **Apply:** https://usbank.wd1.myworkdayjobs.com/US_Bank_Careers/job/Hopkins-MN/Sr-Data-Warehouse-Analyst_2026-0024556 ## About the Role Bachelor's degree or equivalent work experience -At least 5 years experience with tools, facilities and techniques for managing and administering data. Preferred Skills/Experience * Hands on experience in Data Engineering, Data Warehousing, ETL/ELT Development, Data Integration, or Data Management roles. * Advanced proficiency in SQL with hands-on experience in data modeling, database design, query optimization, and performance tuning. * Strong programming experience with Python for data processing, automation, orchestration, and engineering solutions. * Experience designing and supporting modern Data Warehouse, Data Lake, Lakehouse, and distributed data architectures. * Hands-on experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform (GCP). * Experience developing scalable ETL/ELT pipelines using SQL, Python, cloud-native services, and enterprise integration tools. * Knowledge of modern big data and orchestration technologies such as Apache Spark, Databricks, Airflow, or related platforms. * Experience with Git, GitHub, Azure DevOps, CI/CD pipelines, and DevOps best practices for data engineering. * Understanding of data governance, data quality, security, privacy, compliance, and metadata management principles. * Familiarity with AI-assisted development tools such as GitHub Copilot, ChatGPT, Claude, or similar productivity solutions, along with strong analytical, problem-solving, communication, and stakeholder management skills. ## Description * Design, develop, and maintain enterprise-scale Data Warehouse, Data Lake, and Lakehouse solutions supporting operational reporting, analytics, and AI/ML initiatives. * Build and enhance scalable data models, database architectures, and data storage frameworks to support business, analytical, and operational requirements. * Develop, optimize, and support batch, streaming, and near real-time ETL/ELT pipelines using SQL, Python, cloud-native services, and modern data integration technologies. * Integrate, transform, and manage structured, semi-structured, and unstructured data from multiple internal and external data sources while ensuring data quality and reliability. * Implement and support enterprise data integration solutions utilizing Informatica, IBM DataStage, or similar ETL/data integration platforms. * Partner with business stakeholders, analysts, architects, and application teams to gather requirements and deliver scalable, high-performing data solutions. * Enable business intelligence, advanced analytics, and AI/ML use cases by preparing, optimizing, and governing datasets for enterprise consumption. * Monitor, troubleshoot, and tune data platforms and pipelines to ensure high availability, performance, scalability, automation, and operational excellence. * Implement and support cloud-based data solutions leveraging AWS, Microsoft Azure, or Google Cloud Platform (GCP) services. * Apply enterprise standards for data governance, security, privacy, compliance, and metadata management to protect organizational data assets. ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)