Capital One
Senior Manager, Data Analyst - Product Analytics
$201K–$250K
McLean, VA +1 · Manager · Full-time · Posted Oct 26, 2026
- Location
- McLean, VA
New York, NY - Experience
- Bachelor’s route: at least 7 years performing data analytics; Master’s route: at least 5 years performing data analytics. Also requires at least 5 years of professional data analysis and open source data technology leadership/development, and 2 years managing people.
- Education
- Bachelor’s degree in a quantitative field or Master’s degree; 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 product analytics and analytical-tool validation to assess methodology quality and risk, generate actionable insights, and inform product strategy and decisions.
What you'll do
- Plan and execute validation projects and assess analytical-tool quality, risks, and opportunities.
- Research and prototype best practices for emerging analytical tools; communicate findings through reports and presentations.
- Lead, coach, and mentor staff while working across concurrent projects.
What they ask for
- Bachelor’s degree in a quantitative field plus at least 7 years of data analytics experience, or a Master’s degree plus at least 5 years; degree must be obtained by the scheduled start date.
- At least 5 years performing professional data analysis work.
- At least 5 years leading and developing with open source data technologies.
- At least 2 years managing people.
Nice to have
- Master’s degree or PhD in a related quantitative or finance field.
- Experience in statistical/econometric work, large datasets, financial services, model development or validation, data governance, or predictive analytics.
Pay
USD $200,700 - $229,100 base salary (McLean, VA); USD $219,000 - $249,900 base salary (New York, NY)
Tools
open source data technologies
AI focus
Transforms complex data into actionable, AI-enabled insights to inform product strategy and decisions.
Model-written summary · the original posting is authoritative