Senior Infrastructure Analyst

U.S. Bank

Senior Infrastructure Analyst leveraging infrastructure engineering experience to interpret operational data and provide Power BI insights. Supporting Technology teams with design and operational analytics across multiple systems.

Posted 5/17/2026full-timeHopkins • Minnesota, Texas • 🇺🇸 United StatesSenior💰 $105,400 - $124,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLPythonSQL

About the role

Key responsibilities & impact

Apply prior infrastructure engineering experience to accurately interpret platform, service‑level, and operational data
Analyze complex data from enterprise and infrastructure‑adjacent sources to identify trends, risks, opportunities, and actionable insights
Lead and contribute to large‑scale data and analytics initiatives by acquiring, integrating, and analyzing data across multiple systems
Design, build, and maintain Power BI dashboards that provide visibility into infrastructure‑adjacent metrics, service health, and platform usage
Translate complex technical and operational data into clear, management‑ready insights and recommendations
Collaborate with systems engineers, cloud teams, data engineers, analysts, and business partners to deliver a holistic view of technology performance
Monitor outcomes of implemented recommendations and provide follow‑up analysis and data‑driven adjustments
Identify patterns or anomalies that may indicate infrastructure, platform, or data pipeline issues, and partner with responsible teams to investigate
Ensure all data acquisition, analysis, and reporting comply with enterprise security, governance, and regulatory standards

Requirements

What you’ll need

Bachelor’s degree, or equivalent work experience
At least 5 years of experience within a total information technology (IT) environment
At least 10 years of experience with the design, development and support of technology infrastructure
Advanced proficiency with SQL, Python, Excel, and Power BI for data querying, transformation, validation, reconciliation, and advanced analytics
Advanced analytical skills with the ability to synthesize complex, multi-system and infrastructure-adjacent data into actionable insights
Strong working knowledge of cloud, hybrid, and on-premises infrastructure ecosystems, including major platforms (e.g., Azure, AWS) and how to compute, storage, networking, APIs, and platform services generate and emit data
Experience with data platforms, ETL / ELT processes, analytics platforms, and big-data environments, and how they integrate with underlying infrastructure
Understanding platform observability concepts (e.g., performance metrics, capacity indicators, reliability signals, and service-health data) and how they are used analytically
Understanding of process diagrams, process materials, data catalogs, data quality, governance, security, and compliance in regulated enterprise environments
Experience using GitHub or version control tools in support of analytics, automation, or engineering-adjacent workflows
Exposure to or exploration of AI-enabled analytics, automation, or intelligent agent capabilities
Experience aligning infrastructure and platform insights to enterprise or technology strategy
Strong comfort using data to support storytelling, decision support, and executive-level communication
Demonstrated project or initiative leadership skills in cross-functional, technology-aligned environments
Strong interpersonal, verbal, and written communication skills

Benefits

Comp & perks

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

ATS Keywords

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Hard Skills & Tools

SQLPythonExcelPower BIdata queryingdata transformationdata validationdata reconciliationETLbig-data environments

Soft Skills

analytical skillsstorytellingdecision supportexecutive-level communicationproject leadershipinterpersonal skillsverbal communicationwritten communication