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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Data Analyst - Global Payment Network - **Company:** Capital One Financial Corporation - **Location:** Riverwoods, IL, United States - **Experience:** Experienced - **Salary:** $131,300.0 - $149,800.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Data Analysis, Data Governance, Data Security, Data Systems, Data Visualization, Data Warehousing, Relational Databases, R (Programming Language), Python (Programming Language), Metadata, Open Source Technology, Standard Sql, SQL Databases, Transaction Data, Unstructured Data, Scripting, Apache Spark, Data Strategy, Information Technology, Data Analytics, Data Management - **Published:** August 8, 2026 - **Apply:** https://dejobs.org/x/x/EC14D2C93FA345D0851C3FA5E68834D1/job/ ## About the Role * 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 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 ## Description 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [JavaScript? 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