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Manager, Data Analysis, Flights
Capital One. Partner with Product and Engineering to define KPIs and build dashboards tracking progress against goals .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics, including the ability to develop and implement tracking plans, dashboards, and A/B tests. Proficient in SQL, Python, and AI-powered tools, with a strong focus on improving operational efficiencies and maintaining clean data for complex analyses.
Highest-signal resume keywords
Data AnalyticsSQL ProgrammingA/B Testing DesignAI-Powered ToolsData Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisSQLPythonRSparkDashboard DevelopmentData ModelingStatistical AnalysisProcess ImprovementData Mining
Soft Skills
Problem SolvingCollaborationCommunicationDecision-MakingLeadership
Tools & Technologies
TableauAWS ServicesClaude CodeGemini
Industry Keywords
KPI TrackingProduct LaunchAd Hoc AnalysisOperational EfficiencyData Storage Systems
Tech Stack
Tools & technologiesAWSPythonSparkSQLTableau
About the role
Key responsibilities & impact- Partner with Product and Engineering to define KPIs and build dashboards tracking progress against goals
- Conduct ad hoc deep-dive analyses to support decision-making and prioritization
- Develop tracking plans and dashboards for product launches and A/B test monitoring
- 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 more approachable data model
- Maintain clean, usable data for complex business questions
- Mine data for crucial organizational information
- Identify and implement process, data, and reporting improvements
- Work with large and complex databases containing millions to billions of records
- Improve operational efficiencies and effectiveness
- Conduct analyses evaluating 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
Requirements
What you’ll need- Bachelor’s Degree in a 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; required degree must 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
- Experience with SQL and other data analysis techniques
- Hands-on experience using AI-powered tools, specifically Claude Code, Gemini, or similar platforms
- Preferred: Master’s Degree in a STEM discipline
- Preferred: At least 7 years of professional data analysis work experience
- Preferred: At least 4 years of experience with Python, R, Spark, or SQL
- Preferred: At least 1 year of experience in people management
- Preferred: At least 1 year of project management experience
- Preferred: At least 1 year of experience in Tableau
- Preferred: Proficiency utilizing and developing within AWS services
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position
Benefits
Comp & perks- Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
- Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
- Reasonable accommodations for applicants who require them