Principal Data Analyst, Card Tech Workforce Strategy

The Workforce Strategy & Operations (WS&O) team in Card Tech+ is seeking a Principal Data Analyst to drive several high-priority workforce analytics and automation initiatives in the year ahead. In this role, you will transform high-level strategy into tangible operational impact, delivering sophisticated analytics for a global footprint of 4,500+ associates.

By leveraging AI-driven automation with Google Apps Script, Gemini, and Claude Code, you will build the next generation of self-service tools that enable our leadership to move with unmatched precision and speed.

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.

On any given day you will be challenged on three types of work - Innovation, Business Intelligence and Data Management:

- Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms

- Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers

- Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives

- Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization

- Drive analysis that provides meaningful insights on business strategies

- Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions

- Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance

- Build and execute tools to monitor and report on data quality

- Degree specialized in a Science, Technology, Engineering, Mathematics discipline

- Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)

- Experience leveraging HR, Finance, and/or Operations data to drive decision making

- Experience utilizing AppScript, Claude Code, Gemini, and developing within AWS services

- Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 5 years of experience performing data analytics, or, a Master's Degree plus at least 3 years performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

- At least 3 years of experience working with at least one scripting language

- At least 3 years of experience utilizing a business intelligence visualization tool

- At least 3 years of experience in querying, analyzing and working with data languages and platforms

- Master's Degree in a Science, Technology, Engineering, Mathematics discipline

- At least 4 years of experience coding in Python, R, Spark, or SQL

- At least 4 years of experience working within process management and improvement methodologies - Agile, Lean, Six Sigma, etc.

- At least 2 years of experience utilizing and developing within AWS services

- At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.