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Manager, Data Analysis
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 proficiency in SQL, Python, and A/B testing methodologies. Capable of developing dashboards and tracking plans while maintaining data integrity and providing actionable insights for product and marketing strategies.
Highest-signal resume keywords
Data AnalyticsSQL ProgrammingA/B Testing DesignAI-Powered Tools ExperienceDashboard Development
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 AnalysisProgrammingSQLPythonRSparkData MiningStatistical AnalysisProcess ImprovementData Visualization
Soft Skills
Decision-MakingCollaborationProblem-SolvingCommunicationProject Management
Tools & Technologies
TableauAWS ServicesClaude CodeGemini
Industry Keywords
KPI TrackingData ModelProduct LaunchMarketing MaterialsData 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 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 toward a more approachable data model
- Maintain clean, usable data for complex business questions
- Mine large datasets to produce crucial organizational insights
- Identify and implement process, data, and reporting improvements
- Work with databases containing millions to billions of records
- Evaluate processes and tests through analysis
- Analyze data to gauge product offerings
- Consult on new 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 expected to 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 related data analysis skills
- Direct, hands-on experience using AI-powered tools such as 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
Benefits
Comp & perks- Performance based incentive compensation, which may include cash bonus(es) 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