Infrastructure Analytics Engineer: Power BI & Automation

U.S. Bank; Irving (TX); On-site; USD 112,000 - 131,000; Full time

Job summary

U.S. Bank is seeking an Infrastructure Data Analytics Engineer to acquire, transform, and analyze data from infrastructure, platform, cloud, and enterprise systems to support technology strategy, operational excellence, risk management, and executive decision making.

The ideal candidate will leverage SQL, Python, Alteryx, API integrations, and data transformation to build scalable ETL/ELT pipelines, implement automated workflows, and maintain analytics assets within a governed SDLC environment.

Qualifications

• Bachelor's degree in a related field, or equivalent work experience
• Five to seven years of statistical and/or data analytics experience

Responsibilities

• Acquire, transform, integrate, and analyze data from infrastructure, platform, cloud, and enterprise technology systems.
• Build and maintain scalable ETL/ELT pipelines to acquire, cleanse, transform, validate, and enrich data.
• Design and maintain Power BI dashboards for infrastructure-adjacent metrics and KPI reporting.
• Follow SDLC/DevOps practices, including source control, testing, deployment, and release management.
• Collaborate with infrastructure, engineering, operations, and leadership to enable data-driven decisions.
• Ensure data governance, security, and regulatory compliance across analytics assets.

Skills

SQL (Advanced)

Python

Alteryx

Power BI

Excel

Education

Bachelor's degree in a related field

Tools

GitHub

GitLab

Azure DevOps

Job description

U.S. Bank is seeking an Infrastructure Data Analytics Engineer to acquire, transform, and analyze data from infrastructure, platform, cloud, and enterprise systems to support technology strategy, operational excellence, risk management, and executive decision making.

The ideal candidate will leverage SQL, Python, Alteryx, API integrations, and data transformation to build scalable ETL/ELT pipelines, implement automated workflows, and maintain analytics assets within a governed SDLC environment.