Analytics Engineer: BI, Automation & Data Platforms

US Bank; Atlanta (GA); On-site; USD 90,000 - 135,000; Full time

Job summary

U.S. Bank seeks a highly skilled analytics professional to move analytics beyond SQL-based reporting toward scalable data products and automation. You will deliver BI, automation, and analytics that improve performance, risk visibility, and decision-making.

This role partners with business, technology, risk, and leadership to define success and translate findings into action. The candidate will apply software development practices, Python-based analysis, Databricks-enabled workflows, and

Qualifications

• Bachelor's degree or equivalent work experience.
• 4–5 years in data analysis, BI, analytics engineering, or related fields.
• Experience moving from reporting to analytics products and automation.

Responsibilities

• Gather, integrate, and transform data from multiple sources.
• Design reusable data assets and analytics solutions.
• Build dashboards and analytics to improve performance and risk visibility.
• Partner with business, technology, risk, and leadership to drive action.

Skills

ETL processes

Data integration

Data transformation

Power BI

SQL querying

Python

Databricks

Snowflake

GitLab

Jira

AI prompting/tools

Credit Risk domain

Analytical storytelling

Education

Bachelor's degree

Tools

Power BI

SQL

Databricks

Snowflake

GitLab

Jira

Job description

U.S. Bank seeks a highly skilled analytics professional to move analytics beyond SQL-based reporting toward scalable data products and automation. You will deliver BI, automation, and analytics that improve performance, risk visibility, and decision-making.

This role partners with business, technology, risk, and leadership to define success and translate findings into action. The candidate will apply software development practices, Python-based analysis, Databricks-enabled workflows, and