Principal Data Analyst

Capital One • McLean, VA

16h • $119,400 - $163,500 • Hybrid

About The Position

At Capital One, data is central to decision-making and innovation. The Principal Data Analyst will use analytical and technical skills to build, innovate, and maintain well-managed data solutions and capabilities that address business problems. The role is part of the Bank Tech Analytics team, which advances data-driven decision-making and operational excellence across Bank Tech and the wider organization. The team develops metrics and insights frameworks, applied analytics, operational efficiency automation, and AI integration, using stakeholder partnerships and automated data pipelines to turn complex information into actionable insights and reporting solutions.

The work spans innovation, business intelligence, and data management. The analyst will explore data sources and technologies, create self-service capabilities, partner with business teams to develop analytics and visualizations, and support data quality, governance, security, and access practices. The role is designated hybrid, with required on-site presence according to Capital One’s hybrid policy at the designated office location.

Requirements

• Currently has or is pursuing a bachelor’s degree in a quantitative field, such as Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related field, and at least 5 years of data analytics experience; or has a master’s degree and 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 working 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.
• Strong desire and experience working with data in various forms, including data warehouses/SQL and unstructured data.
• 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 working 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, high-volume, and varied data 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 business stakeholders to translate needs into tools, techniques, metrics, dashboards, insights, and data visualizations.
• Drive analysis that provides meaningful insights on business strategies.
• Promote adherence to data quality management principles, including metadata, lineage, and business definitions.
• Collaborate 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 health, financial, and other benefits supporting total well-being.
• 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