Principal Data Analyst

Capital One • McLean, VA

20h • Hybrid

About The Position

Capital One’s data analysts use analytic and technical skills to build and maintain data solutions that address business problems. The role spans innovation, business intelligence, and data management. It involves working with varied data sources and platforms, developing capabilities that support self-service data use, partnering with business teams on analytics and visualization, and supporting data quality, governance, security, and access practices.

This is a hybrid position, with on-site attendance required in accordance with Capital One’s hybrid policy at the designated office location. The role may be based in McLean, Virginia; New York, New York; or Richmond, Virginia. The position is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Capital One will consider sponsoring a qualified applicant for employment authorization.

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 quantitative field, plus at least 5 years of data analytics experience; alternatively, 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 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.
• Experience with scripting in Python, R, Spark, and SQL.
• Strong desire for and experience working with data in varied 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 in 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 teams to translate business needs into tools, techniques, metrics, and dashboards for insights and data visualization.
• 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.
• Collaborate with 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; eligibility varies by employment status and management level.
• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

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