Capital One
Data Analysis Manager - Enterprise Services Risk Analytics
$150K–$205K
New York, NY +2 · Manager · Full-time · Posted Oct 21, 2026
- Location
- New York, NY
Richmond, VA
McLean, VA - Experience
- At least 6 years of data analytics experience with a Bachelor’s Degree in a quantitative field, or at least 4 years with a Master’s Degree; also requires at least 4 years of professional data analysis and programming experience.
- Education
- Bachelor’s Degree in a quantitative field, or Master’s Degree; degree may be in progress if 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 analytics and a team of analysts to improve enterprise services risk operations, processes, reporting, and strategic decision-making.
What you'll do
- Mine and analyze large, complex datasets to evaluate processes, products, and initiatives.
- Identify and implement process, data, and reporting improvements; advise on production and data-storage system design.
- Lead and mentor junior analysts and collaborate across business units through the project life cycle.
What they ask for
- Bachelor’s Degree in a quantitative field plus at least 6 years of data analytics experience, or Master’s Degree plus at least 4 years of data analytics experience; required degree must be obtained by the scheduled start date if in progress.
- At least 4 years of professional data analysis work.
- At least 4 years of programming experience.
Nice to have
- Master’s Degree in a STEM discipline; at least 7 years of professional data analysis experience; or experience with Python, R, Spark, SQL, people management, IaC, project management, Tableau, or AWS services.
Pay
$164,800 - $188,100 USD base salary (McLean, VA); $149,800 - $171,000 USD base salary (Richmond, VA); $179,700 - $205,100 USD base salary (New York, NY)
Tools
Python, R, Spark, SQL, Terraform, AWS CloudFormation, Tableau, AWS
Model-written summary · the original posting is authoritative