Manager, Data Analysis, Flights - Capital One Travel

Capital One • McLean, VA

7d

About The Position

Capital One is seeking a data analysis manager for Capital One Travel. The role partners with product and engineering teams to define what to measure, close tracking gaps, and turn complex domain data into clean, reliable information the business can trust. The position offers ownership of a large, complex data landscape and helps shape the product and business. A key success measure is making hotels data accessible so teams across the business can produce accurate analyses without direct support from the hotel team.

The role involves defining KPIs, building dashboards, conducting deep-dive analyses, planning measurement for product launches and A/B tests, troubleshooting tracking and data trends, and working with Engineering on a more approachable data model. The position also maintains usable data and supports analysis, testing, process improvements, and data and production system design.

The ideal candidate can connect analysis to business and customer outcomes, understand business context, solve complex problems amid ambiguity, and work credibly with engineering partners. They collaborate across product, engineering, design, and commercial teams, communicate priorities and tradeoffs clearly, and use AI-powered tools such as Claude Code or Gemini to investigate data and code while critically reviewing the results. The role requires a relevant quantitative degree and substantial professional experience in data analysis and programming.

Requirements

• Currently has, or is obtaining by the scheduled start date, a bachelor's degree in a quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Computer Science, plus at least 6 years of data analytics experience; or a master's degree plus at least 4 years of data analytics experience.
• At least 4 years of professional data analysis experience.
• At least 4 years of programming experience.
• Experience using AI-powered tools such as Claude Code, Gemini, or similar platforms to investigate data and code, with the ability to critically validate AI results.
• Ability to connect analysis and guidance to positive business outcomes and customer needs.
• Ability to understand business context and navigate complex, multi-stakeholder problems.
• Data analysis skills, including SQL, and ability to transform raw data into insights while addressing data quality.
• Strong collaboration and communication skills across product, engineering, design, and commercial teams.

Nice To Haves

• Master's degree in a Science, Technology, Engineering, or Mathematics discipline.
• At least 7 years of professional data analysis experience.
• At least 4 years of experience with Python, R, Spark, or SQL.
• At least 1 year of people management experience.
• At least 1 year of project management experience.
• At least 1 year of experience with Tableau.
• Proficiency using and developing within AWS services.

Responsibilities

• Partner with Product and Engineering to define KPIs and build dashboards that track progress against goals.
• Conduct ad hoc deep-dive analyses to support decision-making and prioritization, including analysis of customer behavior, technical questions, and business impact.
• Develop tracking plans and dashboards to measure new product launches and monitor A/B tests.
• Partner with Product to design clean A/B tests that can run in parallel.
• Troubleshoot tracking issues and concerning data trends.
• Work with Engineering to develop a plan for a more approachable data model.
• Maintain clean, usable data for complex business questions.
• Mine data to provide useful information for the organization.
• Identify and implement process, data, and reporting improvements.
• Work with large and complex databases containing millions to billions of records.
• Improve operational efficiency and effectiveness.
• Analyze processes and tests.
• Extract and analyze data to evaluate product offerings.
• Consult on the design and implementation of production and data storage systems.
• Develop and implement strategic tests of products, initiatives, and marketing materials.

Benefits

• Comprehensive health, financial, and other benefits supporting total well-being.
• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager