Principal Data Analyst - Office of the Chief Data Officer, Central Analytics and Reporting
Capital One
- Location
- McLean, VA
- Work model
- On-Site
- Level
- Principal
- Posted
- Aug 25, 2026
Skills
About this role
Principal Data Analyst - Office of the Chief Data Officer, Central Analytics and Reporting 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. Join the Analytics & Transformation team and help shape the future of data management at Capital One. You’ll sit at the heart of our enterprise-wide data strategy, partnering with Data Managers, Product Managers, Engineers, Risk Managers, Business Analysts, and executives to define, standardize, and deliver the metrics that measure the health of our data. You’ll turn data risk metrics into insights and action, evolve our measurement capabilities as policies and business needs change, and serve as a strategic thought partner to stakeholders and senior leadership. 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: What You’ll Do Partner across LOBs to define, standardize, and publish enterprise data risk metrics. Build and evolve dashboards and data products that provide visibility into data management and governance. Monitor metrics, identify emerging risks and trends, and generate actionable insights for leaders. Translate evolving data policies and requirements into meaningful metrics and monitoring. Use AI to automate and transform how we create, manage, and consume data risk metrics. Lead cross-functional initiatives and influence stakeholders without direct authority. Present insights and recommendations to Senior Director+ leaders and executives across Capital One. Challenge the status quo and help shape the long-term strategy for data management. Innovation 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 Business Intelligence 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 Data Management 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 Our ideal candidate will have: Degree specialized in a Science, Technology, Engineering, Mathematics discipline Scripting experience in (Python, R, Spark, and SQL) Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data) Experience utilizing and developing within AWS services Why This Role Matters: Your work will directly influence how Capital One measures and improves the health of its data. You’ll gain broad executive visibility, deliver measurable impact on critical risk outcomes, and become a key thought leader in making our data well-managed and easy to govern.
Basic Qualifications
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