Capital One
Manager, Data Analysis, Flights - Capital One Travel
$165K–$205K
McLean, VA +1 · Manager · Full-time · Posted Oct 28, 2026
- Location
- McLean, VA
New York, NY - Experience
- At least 4 years of professional data analysis and programming; degree-related alternatives require 6 years of analytics with a bachelor’s degree or 4 years with a master’s degree. Preferred: at least 7 years of professional data analysis.
- Education
- Bachelor’s degree in a quantitative field, or master’s degree; 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
Partners with product and engineering teams to improve Capital One Travel hotel data, define success measures, analyze results, and support data-informed decisions.
What you'll do
- Define KPIs and build dashboards; plan tracking for launches and A/B tests.
- Conduct deep-dive analyses, troubleshoot tracking and data trends, and maintain reliable data.
- Work with engineering on more approachable data models and improve data and reporting processes.
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
- Master’s degree in a STEM discipline; at least 7 years of professional data analysis experience.
- At least 4 years with Python, R, Spark or SQL; 1 year of people management, project management, or Tableau experience; proficiency with AWS services.
Pay
USD $164,800 - $188,100 base salary (McLean, VA); USD $179,700 - $205,100 base salary (New York, NY)
Tools
SQL, Python, R, Spark, Tableau, AWS, Claude Code, Gemini
AI focus
Hands-on use of AI-powered tools such as Claude Code or Gemini to investigate data and code repositories independently, with skepticism and quality checks of AI results.
Model-written summary · the original posting is authoritative