Manager, Data Analysis - Capital One Travel
About The Position
Capital One is seeking a Data Analyst to support the Hotels Travel Agency team at Capital One Travel. This role partners with Product and Engineering to define what to measure, close tracking gaps, and turn a complex domain into clean, reliable data the business can trust. The role offers ownership of a large and complex data landscape and supports making hotel data accessible so that teams across the business can produce accurate analyses without direct hotel-team support. The position uses data analysis to guide product and business decisions, measure launches and experiments, troubleshoot data issues, and improve data models, reporting, and operational effectiveness. The ideal candidate combines technical skills with business context, sound judgment, customer focus, collaboration, clear communication, and hands-on use of AI-powered tools to investigate data and code while validating the results.
Requirements
- Currently has or is in the process of obtaining 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; the required degree must be obtained on or before the scheduled start date.
- At least 4 years of professional data analysis experience.
- At least 4 years of programming experience.
- Hands-on experience using AI-powered tools such as Claude Code, Gemini, or similar platforms to investigate data and code repositories, with the ability to challenge and quality-check AI results.
- Data analysis skills, including SQL or comparable skills, to pull and transform raw data while avoiding underlying data quality issues.
- Ability to understand business context and connect work to business goals and customer outcomes.
- Problem-solving skills and ability to work through complex, ambiguous, multi-stakeholder environments.
- Ability to collaborate across Product, Engineering, Design, and commercial teams.
- Clear, concise, and actionable communication of priorities, strategies, and tradeoffs.
- Understanding of modern technology platforms and credibility with engineering partners on data models and tracking.
- Understanding of travelers’ needs when searching for and booking hotels.
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 in 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 of customer behavior, technical questions, and business impact to inform decisions and prioritization.
- Develop tracking plans and dashboards for new product launches and 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 find crucial 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 gauge 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; eligibility varies by employment status and management level.
- Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
