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Senior Manager – Data Analytics
Capital One. Partner cross-functionally with teams throughout Capital One to validate business-impacting analytical tools .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics, statistical modeling, and validation of analytical tools, with a strong focus on risk assessment and quality assurance. Proven ability to lead teams, manage projects, and communicate complex findings effectively.
Highest-signal resume keywords
Data AnalyticsStatistical ModelingOpen Source Data TechnologiesProject ManagementTeam Leadership
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 AnalysisStatistical MethodsEconometricsPredictive AnalyticsData GovernanceLarge Data Set ManipulationAnalytical Tool ValidationRisk AssessmentFramework DevelopmentPrototyping Best Practices
Soft Skills
CommunicationCoachingMentoringCollaborationProblem Solving
Industry Keywords
Financial ServicesQuantitative FieldBachelor’s DegreeMaster’s DegreePhDOperations ResearchIndustrial EngineeringEconomicsMathematicsStatistics
Tech Stack
Tools & technologiesOpen Source
About the role
Key responsibilities & impact- Partner cross-functionally with teams throughout Capital One to validate business-impacting analytical tools
- Refine an enterprise-wide analytical tools validation framework
- Plan and execute validation projects
- Assess the quality and risk of analytical tool methodologies and tool usage across Capital One
- Understand technical issues in analytical tools and assess tool risks and opportunities
- Research, identify, and prototype industry best practices for emerging analytical tools
- Communicate results through validation reports and presentations
- Leverage education, colleagues, and training opportunities to develop solutions to business problems
- Coach and mentor junior staff
- Handle multiple concurrent projects independently and in teams
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 7 years of experience performing data analytics, or a Master’s Degree plus at least 5 years of experience performing data analytics; required degree must be obtained on or before the scheduled start date
- At least 5 years of experience performing professional data analysis work
- At least 5 years of experience leading and developing with open source data technologies
- At least 2 years of experience managing people
- Preferred: Master’s Degree or PhD in Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field
- Preferred: At least 7 years of experience in statistical or econometrics hands-on work
- Preferred: At least 5 years of experience manipulating and performing analysis with large data sets
- Preferred: At least 5 years of experience in financial services industry
- Preferred: At least 5 years of experience developing statistical or econometric models
- Preferred: At least 5 years of experience validating statistical or econometric models
- Preferred: At least 2 years of experience with data governance
- Preferred: At least 2 years of experience with predictive analytics
- 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
- Work/life balance
- Training and education opportunities
- Coaching and mentoring opportunities
- Potential employment authorization sponsorship for a new qualified applicant