Infrastructure Data Analytics Engineer: Driving Insights

U.S. Bank; Charlotte (NC); On-site; USD 105,000 - 124,000; Full time

Benefits offered by this job

Healthcare

Life Insurance

Disability Insurance

Parental Leave

401(k) Plan

Paid Vacation

Paid Holidays

Adoption Assistance

Sick Leave

Job summary

U.S. Bank is seeking an Infrastructure Data Analytics Engineer to acquire, transform, and analyze data from infrastructure, cloud, and enterprise systems.

This role blends data engineering, analytics, automation, and operational intelligence to support technology strategy, risk management, and executive decision making. The ideal candidate possesses strong SQL, Python, Alteryx, API integration, and data transformation skills while following SDLC practices, version control, testing, deployment,

Qualifications

• Bachelor's degree or equivalent work experience.
• 5–7 years of statistical and/or data analytics experience.
• Strong SQL, Python, and data transformation skills.
• Experience with SDLC practices and version control.

Responsibilities

• Design and develop data ingestion processes from multiple sources including infrastructure monitoring, CMDB, cloud platforms, databases, APIs, and SaaS.
• Build and maintain scalable ETL/ELT pipelines to cleanse, transform, and enrich data.
• Develop SQL queries, views, and data models; create Python-based data extraction and automation solutions.
• Design Alteryx workflows for data preparation and analytics automation; implement reusable processing frameworks.
• Analyze infrastructure data to identify trends, risks, performance issues, and optimization opportunities; support executive reporting and KPI dashboards.

Skills

SQL (Advanced)

Python

Alteryx

Power BI

Excel

Education

Bachelor's degree

Tools

GitHub / GitLab / Azure DevOps

REST APIs

JSON / XML

ETL / ELT

Data Modeling

Data Quality Management

Job description

U.S. Bank is seeking an Infrastructure Data Analytics Engineer to acquire, transform, and analyze data from infrastructure, cloud, and enterprise systems.

This role blends data engineering, analytics, automation, and operational intelligence to support technology strategy, risk management, and executive decision making. The ideal candidate possesses strong SQL, Python, Alteryx, API integration, and data transformation skills while following SDLC practices, version control, testing, deployment,