Manager, Data Analysis - Capital One Travel

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 On any given day you will be: 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 An ideal candidate will/has: 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. Basic Qualifications 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 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 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 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 annualised 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. 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. For accommodations during the recruitment process, please contact Capital One Recruiting at View phone number on click.appcast.io or via email at View email address on click.appcast.io. For technical support or questions about Capital One's recruiting process, please send an email to View email address on click.appcast.io. #J-18808-Ljbffr Capital One National Association