Principal Data Analyst

Capital One • McLean, VA

8d • $119,400 - $149,800 • Hybrid

About The Position

Capital One is seeking a Principal Data Analyst to use analytical and technical skills to build and maintain well-managed data solutions that address business problems. The role spans innovation, business intelligence, and data management. The analyst will use open-source and digital technologies to work with complex and varied data, develop tools and self-service capabilities, partner with business teams to create insights and visualizations, and promote data quality, governance, and secure data access. The role is designated hybrid, with required on-site presence under Capital One’s hybrid policy at the employee’s designated office location.

Requirements

• Currently hold or be pursuing a bachelor’s degree in a quantitative field and have at least 5 years of data analytics experience, or hold a master’s degree and have 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 skills in scripting with Python, R, Spark, and SQL.
• Strong interest and experience working with varied data, including data warehouses, SQL, and unstructured data.
• Experience using 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 using 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.
• Drive analyses that provide 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, competitive, and inclusive health, financial, and other benefits supporting total well-being.
• Eligibility 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