Analytics Engineer: Modernize Reporting with AI & Automation

U.S. Bank; Cincinnati (OH); On-site; USD 86,000 - 102,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

401(k) and employer‑funded retirement

Paid vacation

Up to 11 paid holidays

Job summary

U.S. Bank is seeking a skilled analytics professional to advance our analytics maturity from SQL-based reporting to scalable, data-driven decision support. You will deliver BI, automation, and data products, partnering with business and risk leadership to define success and drive actionable insights.

The role requires hands-on development with Python, Databricks workflows, and modern cloud data platforms, plus strong collaboration across teams to raise analytic maturity.

Qualifications

• Bachelor's degree or equivalent work experience in analytics or related field.
• 4–5 years of experience in data analysis, BI, reporting modernization, analytics engineering, automation, or related area

Responsibilities

• Move beyond SQL-based reporting to a scalable analytics model.
• Gather, transform, and integrate data from multiple sources into reusable assets.
• Design analytics solutions and dashboards to improve operational performance and risk visibility.
• Partner with business, technology, risk, and leadership to define success measures and drive action.

Skills

ETL pipelines

Power BI

SQL querying

Python

Databricks

AI tools usage

Education

Bachelor's degree, or equivalent

Tools

Snowflake

Databricks

GitLab

Jira

Job description

U.S. Bank is seeking a skilled analytics professional to advance our analytics maturity from SQL-based reporting to scalable, data-driven decision support. You will deliver BI, automation, and data products, partnering with business and risk leadership to define success and drive actionable insights.

The role requires hands-on development with Python, Databricks workflows, and modern cloud data platforms, plus strong collaboration across teams to raise analytic maturity.