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Data Analysis Manager - Enterprise Consumer Products

United States, McLean, Virginia Employment contract 149800.00 - 205100.00 USD / Year · Job Posted May 04, 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.

Job Responsibility

  • Drive current and future strategy by leveraging your analytical skills
  • Assist with building and using models to test and validate data
  • Work with vast amounts of data in new and evolving environments
  • Be a part of growing and developing our brand in new and emerging markets
  • Leverage analytics to create a customer experience above our peers
  • Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers
  • Be a part of the full life cycle of projects and see end results
  • Collaborate across business units
  • Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority
  • Experience real work life balance, with little travel involved
  • Mining data to arrive at specific and crucial information for the organization
  • Identifying and implementing process, data, and reporting improvements for the organization
  • Working with large and complex databases containing millions to billions of records
  • Improving operational efficiencies and effectiveness
  • Conducting analysis to evaluate processes and tests
  • Extracting and analyzing data to gauge product offerings
  • Consulting on the design and implementation of new production and data storage systems
  • Developing and implementing strategic tests of products, initiatives and marketing materials

Requirements

  • Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics
  • Master’s Degree plus at least 4 years of experience performing data analytics
  • At least 4 years of experience performing professional data analysis work
  • At least 4 years of experience performing programming

Nice to have

  • Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
  • At least 7 years of professional data analysis work experience
  • At least 4 years of experience with Python, R, Spark or SQL
  • At least 1 year of experience in people management
  • At least 1 years of project management experience
  • At least 1 year of experience in Tableau
  • Proficient utilizing and developing within AWS service
  • Knowledge of AI tools like Github CoPilot, Claude Code and building AI workflows
  • Familiarity with CI/CD DevOps processes

What we offer

  • performance based incentive compensation
  • cash bonus(es)
  • long term incentives (LTI)
  • health benefits
  • financial benefits
  • inclusive set of benefits

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