Manager, Data Analysis - Capital One

What you’ll do:

• Partner with Product and Engineering to define KPIs and build dashboards to track progress against goals
• Conduct ad hoc deep-dive analyses to drive decision-making and prioritisation, ranging from examining specific customer behaviours to digging into complex technical questions to business impact analyses
• Develop tracking plans and dashboards for measuring success of new product launches and monitoring A/B tests
• Partner with Product to design clean A/B tests that can run in parallel
• Troubleshoot issues in tracking and concerning data trends
• Work closely with Engineering to develop a plan towards a more approachable data model
• Maintain clean, usable data to answer complex business questions

• Mining data to arrive at specific and crucial information for the organisation
• Identifying and implementing process, data, and reporting improvements for the organisation
• Working with large and complex databases containing millions to billions of records
• Improving operational efficiencies and effectiveness
• Conducting analysis to evaluate processes and tests
• Extracting and analysing data to gauge product offerings
• Consulting on the design and implementation of new production and data storage systems
• Developing and implementing strategic tests of products, initiatives and marketing materials

• Deliver Business Results. Answers questions and provides guidance towards producing positive business outcomes. Frames work within business goals and customer outcomes.
• Context Seeking. Goes beyond pulling data by gaining an understanding of the business context to better answer questions and provide guidance.
• Problem Solving. Drives toward solutions in a thoughtful and creative manner. Can navigate complex, multi‑stakeholder environments and find the path forward.
• Technical Acumen. Understands modern tech platforms and is credible with engineering partners with regards to data models and tracking. Has the data analysis skills (SQL, etc.) to pull and transform raw data into insight without underlying data quality issues.
• Dealing with Ambiguity. Thrives with limited information. Takes initiative, frames problems with available context, and iterates toward clarity.
• Customer First. Deeply understands what travellers need when searching for and booking hotels. Shows passion and care for the work and the people involved.
• Teamwork. Excellent collaborator across product, engineering, design, and commercial teams. Puts the team before the individual and operates with a community mindset.
• Simplicity. Finds elegant, simple solutions to complex business and organisational challenges. Resists over‑engineering.
• Communication. Clearly articulates priorities, strategies, and trade‑offs to key stakeholders—concise, direct, and actionable.
• AI Fluency. Has direct, hands‑on experience using AI‑powered tools—specifically Claude Code, Gemini, or similar platforms—to rapidly dig into data and code repositories to find answers independently. Skeptical enough to challenge and QA AI results.

• Currently has, or is in the process of obtaining a:
  • Bachelor’s Degree in a 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

• 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 year 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.

The…