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:

- 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

- Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)

- 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

- 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.