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Capital One Logo Capital One · IT - Software Development

Principal Data Analyst

United States, Riverwoods, Illinois Employment contract · Job Posted April 24, 2026
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Job 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. GNA stands for Global Network Analytics within Discover's Global Payment Network (GPN) business. The GNA department provides analytical solutions to payment businesses covering the whole lifecycle of participant management. This department has a variety of teams that handle a plethora of topics including but not limited to: marketing, pricing, fraud, optimization, automation, restitution, and even GenAI and text modeling.

Job Responsibility

  • 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

Requirements

  • 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
  • Master’s Degree plus at least 3 years performing data analytics
  • 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 have

  • 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

What we offer

  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • Comprehensive, competitive, and inclusive set of health, financial and other benefits
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