Principal Data Analyst - Enterprise Services

Capital One - McLean, VA

Full-time - Senior

McLean, VA

101-250 employees

Credit Intermediation and Related Activities

About the position

The Principal Data Analyst - Enterprise Services at Capital One plays a crucial role in leveraging analytic and technical skills to innovate, build, and maintain data solutions that address business challenges. This position focuses on three main areas: Innovation, Business Intelligence, and Data Management, utilizing advanced technologies and methodologies to enhance data-driven decision-making within the organization.

Responsibilities

• Leverage Open Source/Digital technologies to mine complex and voluminous data sources.
• Build well-managed data solutions and tools for self-service frameworks for data consumers.
• Translate business needs into design and development of tools, techniques, metrics, and dashboards for insights and data visualization.
• Drive analysis that provides meaningful insights on business strategies.
• Ensure adherence to data quality management principles including metadata, lineage, and business definitions.
• Collaborate with Tech teams to manage security mechanisms and data access governance.
• Build and execute tools to monitor and report on data quality.

Requirements

• Doctoral degree in a relevant field or a Master's degree with at least 3 years of experience in data analytics, or a Bachelor's degree with at least 5 years of experience in data analytics.
• At least 3 years of experience in at least one scripting language (Python, R, Spark, SQL).
• At least 1 year of experience utilizing a business intelligence visualization tool.
• At least 3 years of experience querying and analyzing data.

Nice-to-haves

• Master's Degree in a Science, Technology, Engineering, Mathematics discipline.
• At least 4 years of experience coding in Python, R, Spark, or SQL.
• At least 4 years of experience in process management and improvement methodologies (Agile, Lean, Six Sigma).
• At least 2 years of experience utilizing and developing within AWS services.
• At least 2 years of experience in Data Governance and Data Quality Management within the financial services industry.

Benefits

• Comprehensive health benefits
• Financial benefits
• Inclusive workplace policies