Principal Data Analyst - Global Payment Network

Principal Data Analyst - Global Payment Network 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.   At the Discover Global Payment Network, data is the engine that powers our core platforms and products. As a Principal Associate, Data Analysis within the Platform Operations Tower, you will be one of the architects responsible for transforming massive, high-volume transactional data streams into core analytical assets and insights for various domains. You will work on data strategy, architecture, and modeling frameworks for core network platforms, value-added services, and servicing portals in partnership with product and business analysis team members.   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 Basic Qualifications 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 currently has, or is in the process of obtaining 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 Preferred Qualifications: 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   Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary