Lead the design and delivery of data solutions that enable self-service analytics, data quality governance, and business decision-making.

Mine complex, high-volume, and varied data sources and platforms using Open Source and digital technologies
Build and maintain well-managed data solutions, tools, and capabilities that support self-service frameworks for data consumers
Rapidly learn and apply new technologies to advance multiple initiatives
Partner with the business to translate requirements into tools, techniques, metrics, and dashboards for insight and data visualization
Drive analysis that produces meaningful insights for business strategies
Support adoption of data quality management principles, including metadata, lineage, and business definitions
Collaborate with relevant 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
Scripting experience with Python, R, Spark, and SQL
Experience working with data in various forms (data warehouses/SQL, unstructured data)
Experience using 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 quantitative field) plus at least 5 years of data analytics experience; or a Master’s Degree plus at least 3 years of data analytics experience, with expectation the required degree will be obtained on or before the scheduled start date
At least 3 years of experience working with one scripting language
At least 3 years of experience using 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, Mathematics discipline
At least 4 years of experience coding in Python, R, Spark, or SQL
At least 4 years of experience with process management and improvement methodologies (Agile, Lean, Six Sigma, etc.)
At least 2 years of experience using and developing within AWS services
At least 2 years delivering Data Governance and Data Quality Management concepts and practices within the financial services industry
Capital One may sponsor a new qualified applicant for employment authorization for this position

McLean, VA (hybrid)
Designated as a hybrid role; must follow Capital One’s hybrid policy for required on-site presence at the designated office location

Annual salary range (McLean, VA): $131,300 - $149,800 for Principal Data Analyst
Annual salary range (New York, NY): $143,200 - $163,500 for Principal Data Analyst
Annual salary range (Richmond, VA): $119,400 - $136,200 for Principal Data Analyst
Eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Principal Data Analyst

Job Description