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Senior Manager, Data Analytics

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Capital One

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Location:
United States , McLean ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

182500.00 - 249900.00 USD / Year
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Job Description:

Senior Manager, Data Analytics at Capital One. Partner cross-functionally with teams throughout the company to validate business impacting analytical tools. Enhance technical and analytical skills, while also working with leaders to influence business strategies. As a Senior Data Analytics Manager focused on Product Analytics, you will lead analysts, partner cross-functionally, and set data strategy for a wide range of innovative products including consumer facing experiences, platform experiences, and modernization efforts.

Job Responsibility:

  • Refining a new Enterprise-wide analytical tools validation framework
  • Planning and executing validation projects
  • Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes
  • Understanding technical issues in analytical tools and assessing tools risks and opportunities
  • Independently researching, identifying, and prototyping industry best practices for emerging analytical tools
  • Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations
  • Leveraging education, colleagues and training opportunities to develop solutions to business problems
  • Coaching and mentoring junior staff
  • Lead analysts, partner cross-functionally, and set data strategy for a wide range of innovative products
  • Remediating DA solutions, driving controls, designing data products, and enabling strategic journeys
  • Own the team's roadmap, foster analytical excellence, and ensure data product trust and reliability

Requirements:

  • 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 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date
  • At least 5 years of experience performing professional data analysis work
  • At least 5 years of experience leading and developing with open source data technologies
  • At least 2 years of experience managing people

Nice to have:

  • Master’s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field
  • At least 7 years of experience in statistical or econometrics hands-on work
  • At least 5 years of experience manipulating and performing analysis with large data sets
  • At least 5 years of experience in financial services industry
  • At least 5 years of experience in developing statistical or econometric models
  • At least 5 years of experience in validating statistical or econometric models
  • At least 2 years of experience with data governance
  • At least 2 years of experience with predictive analytics
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 that support your total well-being

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
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