Capital One
Manager, Data Analysis - Card Data Products
$150K–$188K
Richmond, VA +1 · Manager · Full-time · Posted Oct 9, 2026
- Location
- Richmond, VA
McLean, VA - Experience
- At least 4 years of professional data analysis and programming experience; degree-based alternatives require 6 years of data analytics experience with a Bachelor’s Degree, or 4 years with a Master’s Degree. Preferred: 7 years of data analysis experience.
- Education
- Bachelor’s Degree in a quantitative field, or Master’s Degree; the stated required degree must be obtained on or before the scheduled start date.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Leads data analysis for card data products, using analytics and modeling to validate data, improve processes, and inform product and business decisions while managing and mentoring analysts.
What you'll do
- Mine and analyze large, complex datasets to evaluate processes, products, and offerings.
- Build and use models to test and validate data; improve data, reporting, and operational processes.
- Lead and mentor junior analysts and collaborate on data product, technology, and project work.
What they ask for
- Bachelor’s Degree in a quantitative field plus at least 6 years of data analytics experience, or a Master’s Degree plus at least 4 years of data analytics experience; required degree must be obtained by the scheduled start date.
- At least 4 years of professional data analysis experience.
- At least 4 years of programming experience.
Nice to have
- At least 4 years with Python, R, Spark or SQL; at least 1 year with Tableau; proficiency utilizing and developing within AWS service.
- At least 1 year of people management and at least 1 year of project management experience; Master’s Degree in a STEM discipline.
Pay
$164,800 - $188,100 USD (base salary); $149,800 - $171,000 USD (base salary)
Tools
Python, R, Spark, SQL, Tableau, AWS
Model-written summary · the original posting is authoritative