Cloud Data Analyst: Analytics Migration & Governance

U.S. Bank; Charlotte (NC); On-site; USD 99,000 - 116,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

401(k) and retirement plan

Paid vacation

Paid holidays

Disability insurance

Job summary

U.S. Bank is seeking an experienced Data Analyst to drive analytics modernization and cloud migration across Enterprise Analytics & Customer Experience.

You will partner with business teams to migrate data engineering, reporting, and advanced analytics to cloud environments while ensuring quality, governance, and SLAs. Responsibilities include providing guidance on cloud tools (Python, SQL, Databricks, Snowflake, Azure Synapse, Azure Data Factory), collaborating with stakeholders, and supporting

Qualifications

• Bachelor's degree in a computer science or related field; six+ years of application development experience.
• Demonstrated experience migrating analytics and reporting to cloud platforms.
• Familiarity with Agile delivery and CI/CD practices.
• Experience with banking data domains and marketing data workflows.

Responsibilities

• Provide guidance on cloud analytics migration using Python, SQL, Databricks, Snowflake, Azure Synapse, and Azure Data Factory.
• Collaborate with stakeholders to migrate workloads from SAS, Alteryx, Power BI, and Tableau to cloud solutions.
• Lead production support, troubleshoot data quality and pipeline issues, and ensure SLA adherence.
• Develop governance controls, data lineage, metadata, and observability for cloud analytics.

Skills

Python

SQL

Stakeholder engagement

Analytical thinking

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Snowflake

Azure Synapse

Azure Data Factory

Tableau

Power BI

SAS

Alteryx

Job description

U.S. Bank is seeking an experienced Data Analyst to drive analytics modernization and cloud migration across Enterprise Analytics & Customer Experience.

You will partner with business teams to migrate data engineering, reporting, and advanced analytics to cloud environments while ensuring quality, governance, and SLAs. Responsibilities include providing guidance on cloud tools (Python, SQL, Databricks, Snowflake, Azure Synapse, Azure Data Factory), collaborating with stakeholders, and supporting