Data Analyst

Data Analyst – Retail Bank Data Migration

We are seeking Data Analysts to support a large-scale initiative within a retail banking data organization focused on migrating existing processes to new, centralized data platforms.

This role is less about building new systems and more about understanding, validating, and transitioning existing data workflows to improved data sources to drive adoption across multiple business teams.

Key Responsibilities

• Analyze and migrate existing SQL/Python-based data processes to new data platforms
• Validate and reproduce current data workflows to ensure consistency and accuracy
• Partner with multiple downstream teams to support adoption of centralized data products
• Troubleshoot data discrepancies and ensure data integrity during migration
• Support multiple teams by providing reliable, scalable data analysis solutions
• Document processes and ensure smooth handoff across teams
• Strong hands-on experience with SQL (complex queries, joins, data validation)
• Solid experience with Python for data analysis and scripting
• Experience working with large datasets and data validation processes
• Ability to understand and replicate existing data logic rather than build from scratch
• Strong communication skills and ability to work across multiple teams
• Experience with Spark / PySpark
• Familiarity with AWS data tools (S3, Glue, Redshift, etc.)
• Prior experience within Capital One or similar financial services environments
• Exposure to data migration or data platform transformation initiatives
• Data Analyst with a practical, execution-focused mindset
• Comfortable working in environments where speed and accuracy matter more than innovation
• Proven ability to step into existing processes and improve/transition them efficiently
• Prior experience in enterprise data environments preferred
• Strong preference for candidates with prior Capital One experience or internal references
• Roles will be filled on a rolling basis over the coming months

Interviews expected to begin immediately