Principal Data Analyst - Risk Product Data

Capital One • Richmond, IL

1d • Hybrid

About The Position

Capital One is hiring a Principal Data Analyst to leverage analytic and technical skills to build and maintain well-managed data solutions and capabilities that address business problems. The work spans innovation, business intelligence, and data management. The analyst will use open-source and digital technologies to explore complex and varied data sources, develop tools that enable self-service, partner with business teams to create insights and visualizations, and support data quality and governance practices. This is a hybrid position, subject to Capital One’s hybrid policy for required on-site presence at the designated office location.

Requirements

• A bachelor’s degree in a quantitative field (such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Computer Science) and at least 5 years of data analytics experience; or a master’s degree and 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 or strong interest in working with data in various forms, including data warehouses/SQL and unstructured data.
• Scripting experience in Python, R, Spark, and SQL is identified as part of the ideal candidate profile.
• Degree specialized in a Science, Technology, Engineering, or Mathematics discipline is identified as part of the ideal candidate profile.

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, voluminous, 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 the business to translate business needs into tools, techniques, metrics, and dashboards for insights and data visualization.
• Drive 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 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; 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: Principal