Manager, Data Analysis, Flights - Capital One Travel

Manager, Data Analysis, Flights - Capital One Travel

About the Role

We are looking for a Data Analyst to support the Flights Travel Agency team at Capital One Travel. This analyst will be a true partner to the product and engineering teams in defining what we measure and why, closing tracking gaps, and translating the domain’s complexity—such as complex routing, multi-carrier ticketing, and fare-class dynamics—into clean, reliable data that the business can trust.

This role provides a pivotal opportunity for ownership over a large and complex flight data landscape that is key to our growing travel ecosystem. Data is at the core of everything we do, from flight search algorithms to price prediction and booking conversion, and this team member will help shape the future of our product and our business. A key success metric for this role will be partnering with product and engineering to make flights data accessible so that anyone across the broader organization can produce accurate analyses without direct flights team support.

What You’ll Do

• Partner with Product and Engineering to define flight-specific KPIs (e.g., search-to-book ratios, route-level conversion, attach rates, and ticketing latency) and build dashboards to track progress against goals.
• Conduct ad hoc deep-dive analyses to drive decision-making and prioritization, ranging from evaluating passenger booking behavior and itinerary preferences to dissecting technical GDS/airline API integration performance and commercial margin impact.
• Develop tracking plans and dashboards for measuring the success of new flight product features (such as price drop protection, seat selection flows, or rebooking tools) and monitoring A/B tests.
• Partner with Product to design clean A/B tests that account for air travel seasonality, route volatility, and parallel experimentation across search and checkout funnels.
• Troubleshoot tracking discrepancies, booking drop-offs, and anomalies across search-to-ticket data pipelines.
• Work closely with Engineering to develop a scalable, approachable data model covering complex flight legs, segments, fare rules, and ancillary services.
• Maintain clean, usable data pipelines to answer complex business and operational questions.

What We’re Looking For

• Delivers Business Results: Answers questions and provides guidance toward driving flight booking volume, revenue, and customer lifetime value. Frames technical work within business goals and traveler outcomes.
• Context Seeking: Goes beyond querying raw flight tables by building a solid understanding of the airline distribution landscape, global distribution systems (GDS), NDC feeds, and passenger shopping behaviors.
• Problem Solving: Drives toward solutions in a thoughtful and creative manner. Can navigate complex, multi-stakeholder airline and travel-tech environments and find the path forward.
• Technical Acumen: Understands modern data stacks and speaks the language of engineering partners regarding flight data modeling, event streaming, and schema design. Possesses the advanced SQL and data modeling skills needed to pull and transform multi-segment travel data without data quality issues.
• Dealing with Ambiguity: Thrives with fragmented, high-dimensional flight data feeds. Takes initiative, frames problems within commercial and operational contexts, and iterates toward clarity.
• Customer First: Deeply understands what travelers need when searching, comparing, and booking flights—from transparent pricing to stress-free itinerary management. Shows passion and care for the passenger journey.
• Teamwork: Strong collaborator across product managers, backend flight engineers, UX designers, and commercial airline partnership teams.
• Simplicity: Finds elegant, simple solutions to untangle inherently complicated flight inventories and fare hierarchies. Resists over-engineering.
• Communication: Clearly articulates priorities, flight performance metrics, and analytical tradeoffs to non-technical partners and executive stakeholders.
• AI Fluency: Has direct, hands-on experience using AI-powered tools—specifically Claude Code, Gemini, or similar platforms—to rapidly explore schemas, debug SQL/code repositories, and analyze data independently, paired with the skepticism to rigorously QA the output.

 

Basic Qualifications

• 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 6 years of experience performing data analytics, or 
  • Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
• At least 4 years of experience performing professional data analysis work
• At least 4 years of experience performing programming

Preferred Qualifications:  

• Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
• At least 7 years of professional data analysis work experience
• At least 4 years of experience with Python, R, Spark or SQL 
• At least 1 year of experience in people management 
• At least 1 years of project management experience 
• At least 1 year of experience in Tableau 
• Proficient utilizing and developing within AWS service

 

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $164,800 - $188,100 for Data Analysis Manager

 

New York, NY: $179,700 - $205,100 for Data Analysis Manager

 

 

 

 

 

 

 

 

 

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

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Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).