Principal Data Analyst - Risk Product Data

Capital One • McLean, VA

2d • $119,400 - $149,800 • Hybrid

About The Position

Capital One is seeking a Principal Data Analyst to use analytic and technical skills to build and maintain well-managed data solutions and capabilities that address business problems. The role focuses on innovation, business intelligence, and data management.

The analyst will use open-source and digital technologies to work with complex, high-volume, and varied data; build tools and self-service capabilities; and quickly learn new technologies. The role also partners with business teams to translate needs into analytics, dashboards, and visualizations, and drives analysis that informs business strategies. In data management, the analyst supports data quality principles, metadata, lineage, business definitions, data security and access governance, and data quality monitoring and reporting.

This is a hybrid position, with on-site attendance required according to Capital One’s hybrid policy at the designated office location. The listed annual salary ranges are $119,400–$136,200 in Plano, TX; $131,300–$149,800 in McLean, VA; $119,400–$136,200 in Richmond, VA; and $119,400–$136,200 in Riverwoods, IL. The role is also 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

• A bachelor’s degree in a 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; 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.
• Scripting experience in Python, R, Spark, and SQL is identified as part of the ideal candidate profile.
• 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

• A 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, high-volume, and varied data 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 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 on 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

• Health, financial, and other benefits supporting employee 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