Cloud Data Analyst

US Bank

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Charlotte, NCAtlanta, GAChicago, ILMinneapolis, MN
Salary
$98,175–$115,500 / yr
Posted
3 days ago
Freshness
Confirmed live today
Closes
Oct 2, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $147k
This role $107k
$88k most similar roles pay here $185k

This role pays less than 85% of similar roles. Most pay $122,779–$171,500 — the shaded band above. At the midpoint, this role pays about $107k versus about $147k for comparable roles.

Based on 240 similar postings.

Employer

About US Bank

U.S. Bank (U.S. Bancorp) is the fifth-largest bank in the United States, providing retail banking, corporate and commercial banking, wealth management, and payment services to millions of customers. Industry: Banking & Financial Services

US Bank currently has 36 open roles on FindRole.

Listed pay typically runs $119,765–$140,900 across 34 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Cloud Data Analyst

Cloud Data Analyst The Cloud Data Analyst joins the Enterprise Analytics & Customer Experience team to facilitate the migration of analytics and reporting solutions from on-premises platforms to cloud-based technologies. This role serves as a consultant for modernization initiatives, providing technical guidance on Python, SQL, Databricks, Snowflake, Azure Synapse, and Azure Data Factory. You will manage project intake, troubleshoot production issues like pipeline failures or data quality concerns, and ensure products meet strict SLA requirements. The position involves transitioning workloads from legacy tools such as SAS, Alteryx, Power BI, and Tableau into modern environments while establishing governance frameworks for source code management and metadata. Key responsibilities include coordinating with engineering teams to resolve performance bottlenecks and developing monitoring solutions to improve reliability within the Marketing Data Platform ecosystem and broader banking data domains.

What you'll do

  • Provide technical guidance on cloud technologies including Python, SQL, Databricks, Snowflake, and Azure services.
  • Lead the migration of analytics, reporting, and data engineering workloads from legacy platforms to cloud environments.
  • Act as a consultant for business teams regarding cloud architecture patterns, coding standards, and governance practices.
  • Perform root cause analysis and troubleshooting for production issues involving data quality, pipeline failures, and performance bottlenecks.
  • Manage project intake requests and ensure marketing data products meet quality standards and SLA requirements.
  • Develop and monitor controls for source code management, data validation, and metadata management.
  • Collaborate with engineering teams to resolve system integration issues impacting marketing and analytics workloads.
  • Establish monitoring, alerting, and incident management processes to improve platform reliability.

What we're looking for

  • Bachelor's degree in computer science or related field, or equivalent work experience.
  • Six or more years of experience in application development.
  • Experience supporting cloud migration and analytics modernization programs (preferred).
  • Experience working in Agile delivery environments and CI/CD frameworks (preferred).
  • Familiarity with Tableau, Power BI, marketing workflows, and banking data domains (preferred).
  • Experience troubleshooting data pipelines, production issues, and platform support incidents (preferred).
  • Experience with GitHub, GitLab, DevOps, and source code management practices (preferred).
  • Understanding of Marketing Data Platforms, campaign execution processes, customer analytics, and enterprise data governance (preferred).

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