Locations: VA - Richmond, United States of America, Richmond, Virginia

Senior Data Analyst - Retail

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

In the Consumer Bank, we've combined this human-centered approach with our heritage of data-driven decision making to design, build and test our way to truly enabling financial experiences. We've challenged ourselves to spend less time planning, more time doing, and, above all else, to see the world through the eyes of our customers as they work to understand and manage their money. Retail Bank line of business and functional areas include digital/online banking, branch/cafe experience, bank operations (i.e., account maintenance, deposits, ATM, tax reporting, etc.), contact center, enterprise payments (debit, ACH, check, wires, etc.), marketing and product strategy, and small business banking (i.e., strategy and deposits, sales and servicing, and lending). As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.

• Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
• Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
• Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives

• Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
• Drive analysis that provides meaningful insights on business strategies

• Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
• Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
• Build and execute tools to monitor and report on data quality

• Degree specialized in a Science, Technology, Engineering, Mathematics discipline
• Scripting experience in (Python, R, Spark, and SQL)
• Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
• Experience utilizing and developing within AWS services

• Currently has, or is in the process of obtaining a Bachelor's Degree plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree with an expectation that required degree will be obtained on or before the scheduled start date.
• At least 1 year of experience in at least one scripting language
• At least 1 year of experience utilizing a business intelligence visualization tool
• At least 1 year of experience in querying and analyzing and working with data languages and platforms

• Master's Degree in a Science, Technology, Engineering, Mathematics discipline
• At least 2 years of experience coding in Python, R, Spark, or SQL
• At least 2 years of experience working within process management and improvement methodologies - Agile, Lean, Six Sigma, etc.
• At least 1 year of experience utilizing and developing within AWS services
• At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ)