Principal Data Analyst

Capital One • McLean, VA

5d • Hybrid

About The Position

Capital One’s Bank Tech Analytics team advances data-driven decision-making and operational excellence across the enterprise. It delivers metrics and insights frameworks, applied analytics, operational efficiency automation, and AI integration, partnering with stakeholders and using automated data pipelines via Snowflake/Onelake and Databricks. The team turns complex information into actionable insights and custom reporting solutions to improve the developer experience, support leadership strategy, and foster enterprise-wide collaboration and analytics innovation.

The Principal Data Analyst will work across innovation, business intelligence, and data management. The role uses open-source and digital technologies to mine complex data from varied sources and platforms, develops managed data solutions and self-service capabilities, and explores new technologies. It partners with business stakeholders to translate needs into tools, techniques, metrics, dashboards, and analyses that inform business strategies. It also promotes data quality principles—including metadata, lineage, and business definitions—works with technology teams on security and data-access governance, and builds tools to monitor and report on data quality.

Requirements

• Currently has, or is in the process of obtaining, a bachelor’s degree in a quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related field, plus at least 5 years of data analytics experience; or a master’s degree plus at least 3 years of data analytics experience. The required degree must be obtained on or before the scheduled start date.
• At least 3 years of experience with at least 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.
• Experience or desire to work with data in various forms, including data warehouses, SQL, and unstructured data.
• Scripting experience in Python, R, Spark, and SQL.
• Experience utilizing and developing within AWS services.

Nice To Haves

• 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 with process management and improvement methodologies such as Agile, Lean, or Six Sigma.
• 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.

Responsibilities

• Use open-source and digital technologies to mine complex, voluminous data from varied sources and platforms.
• Build well-managed data solutions, tools, and capabilities that enable self-service frameworks for data consumers.
• Explore and quickly learn new technologies to advance varied initiatives.
• Partner with the business to translate needs into tools, techniques, metrics, dashboards, and data visualizations.
• Conduct analysis that provides meaningful insights into business strategies.
• Promote understanding of and adherence to data quality management principles, including metadata, lineage, and business definitions.
• Work with appropriate technology teams to manage security mechanisms and data-access governance.
• Build and execute tools to monitor and report on data quality.

Benefits

• Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being; eligibility varies by employment status and management level.
• Eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal