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Manager, Data Analysis
Capital One. Drive current and future strategy by leveraging analytical skills .
Posted 11/9/2026full-timeMcLean • Virginia • United StatesMid-LevelSenior💰 $149,800 - $188,100 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics, leveraging programming skills in Python, R, Spark, and SQL to drive strategic initiatives and enhance customer experiences. Proven ability to lead teams, manage projects, and improve operational efficiencies through data-driven insights.
Highest-signal resume keywords
Data AnalyticsPython ProgrammingProject ManagementTeam LeadershipAWS Proficiency
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 AnalysisProgrammingStatistical ModelingData MiningDatabase ManagementProcess ImprovementBusiness IntelligenceData VisualizationAnalytical SkillsStrategic Testing
Soft Skills
Problem SolvingConceptual ThinkingCommunicationInterpersonal SkillsLeadership
Tools & Technologies
AWSTableauSQLSparkRPython
Industry Keywords
Quantitative FieldEmerging MarketsOperational EfficiencyCustomer ExperienceData Storage Systems
Tech Stack
Tools & technologiesAWSPythonSparkSQLTableau
About the role
Key responsibilities & impact- Drive current and future strategy by leveraging analytical skills
- Assist with building and using models to test and validate data
- Work with vast amounts of data in new and evolving environments
- Help grow and develop the brand in new and emerging markets
- Leverage analytics to create an enhanced customer experience
- Lead and mentor a team of junior analysts
- Participate in the full life cycle of projects and see end results
- Collaborate across business units
- Mine data to obtain 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 analysis to evaluate processes and tests
- Extract and analyze data to gauge product offerings
- Consult on the design and implementation of new production and data storage systems
- Develop and implement strategic tests of products, initiatives, and marketing materials
Requirements
What you’ll need- Currently has, or is in the process of obtaining, a Bachelor’s Degree in a quantitative field plus at least 6 years of experience performing data analytics, or a Master’s Degree plus at least 4 years of experience performing data analytics; required degree expected by scheduled start date
- At least 4 years of experience performing professional data analysis work
- At least 4 years of experience performing programming
- Preferred: Master’s Degree in a Science, Technology, Engineering, Mathematics 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
- Proficient utilizing and developing within AWS service
- Strong problem solving, conceptual thinking, communication, interpersonal, and leadership skills
- Ability to handle multiple concurrent projects independently and in teams
- Business Intelligence background strongly encouraged
- 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 bonus(es) and/or long term incentives (LTI)
- Comprehensive, competitive, and inclusive health, financial and other benefits supporting total well-being
- Salary eligibility varies based on full or part-time status, exempt or non-exempt status, and management level
- Work-life balance with little travel involved
- Equal opportunity employer committed to non-discrimination
- Reasonable accommodations for applicants who require them