Principal Data Analyst

Capital One • McLean, VA

2d • $119,400 - $163,500 • Hybrid

About The Position

At Capital One, data is central to the company’s operations and data-driven decision-making. 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 work spans innovation, business intelligence, and data management.

In innovation, the analyst uses open-source and digital technologies to mine complex, voluminous data from varied sources and platforms; builds managed data solutions, tools, and self-service capabilities; and quickly learns new technologies to advance initiatives. In business intelligence, the analyst partners with business teams to translate needs into tools, techniques, metrics, and dashboards, and conducts analyses that produce insights into business strategies. In data management, the analyst supports data quality principles, including metadata, lineage, and business definitions; collaborates with technology teams on security and data-access governance; and builds tools to monitor and report data quality.

This is a hybrid role, with on-site attendance required in accordance with Capital One’s hybrid policy. The position is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Capital One offers health, financial, and other benefits; eligibility varies by employment status and management level.

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—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 by 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 languages such as Python, R, Spark, and SQL.
• Experience 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 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 for data consumers.
• Explore and quickly learn new technologies to advance initiatives.
• Partner with business teams to translate business needs into tools, techniques, metrics, and dashboards for insights and data visualization.
• Conduct analyses that provide meaningful insights into business strategies.
• Promote understanding 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.
• 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