Principal Data Analyst; Enterprise Data Risk Management

Principal Data Analyst (Enterprise Data Risk Management)

Join to apply for the Principal Data Analyst (Enterprise Data Risk Management) role at Capital One.

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 relational database in 1988. Our passion for data has propelled us to a Fortune 200 company and a leader in data‑driven decision making.

• Use open source/digital technologies to mine complex, voluminous, and diverse 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 business needs into design and development of 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, or 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.

• Currently has, or is in the process of obtaining a Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus at least 5 years of experience performing data analytics, or has a Master’s Degree plus at least 3 years of experience performing data analytics with an expectation to obtain required degree on or before 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 querying, analyzing, and working with data languages and platforms.

• Master’s Degree in a science, technology, engineering, or 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.

• McLean, VA: $131,300 - $149,800
• Richmond, VA: $119,400 - $136,200
• Other locations: salary range associated with that location and actual annualized salary offered in offer letter.

This role is also eligible to earn performance‑based incentive compensation, which may include cash bonus(es) and/or long‑term incentives.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being. Eligibility varies based on full‑time or part‑time status, exempt or non‑exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace.

We will consider qualified applicants with a criminal history, in accordance with applicable laws and regulations.

If you require an accommodation, please contact Capital One Recruiting at or via email at Recruitin All information you provide will be kept confidential and used only to the extent required to provide necessary accommodations.

For technical support or questions about Capital One's recruiting process, please email

Mid‑Senior level

Full‑time

Information Technology