Principal Data Analyst - Card

Capital One • McLean, VA

2d • $119,400 - $149,800

About The Position

Principal Data Analyst - Card 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. Our credit card business is powered by data and analytics and a passion to help use credit wisely. Our credit card products serve more than 87 million customers with 20+ personal and business card offerings with a reputable brand offering some of the best cash-back, rewards, and travel benefits for consumers and small business owners. We have advanced proprietary technology for pricing, risk management, and collections. Our card applications help us to serve our customers real-time bringing humanity and simplicity to banking. 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. On any given day you will be challenged on three types of work – Innovation, Business Intelligence and Data Management: Innovation 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 Business Intelligence 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 Data Management 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 Our ideal candidate will have: 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

Requirements

• Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 5 years of experience performing data analytics, or, a Master’s Degree plus at least 3 years performing data analytics with an expectation that required degree will 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 utilizing a business intelligence visualization tool
• At least 3 years of experience in querying, analyzing and working with data languages and platforms

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 working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
• 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/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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level