Senior Manager, Data Analysis – Card Services

Capital One

Senior Manager analyzing data-driven business decisions within a Fortune 200 company. Collaborating with teams to validate analytical tools and influence business strategies.

Posted 7/21/2026full-timeRichmond • Virginia • 🇺🇸 United StatesSenior💰 $182,500 - $229,100 per yearWebsite

Core Competencies

Role fit

Core 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, mentor junior staff, and communicate complex findings effectively.

Highest-signal resume keywords

Data AnalyticsStatistical ModelingValidation FrameworksTeam LeadershipPredictive Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical MethodsEconometricsData ManipulationModel ValidationOpen Source Data TechnologiesLarge Data Sets AnalysisData GovernanceQuantitative ResearchAnalytical Tool Methodologies

Soft Skills

CommunicationCoachingMentoringProblem SolvingCollaboration

Certifications & Qualifications

Bachelor’s DegreeMaster’s DegreePhD

Industry Keywords

Financial ServicesRisk AssessmentQuality AssuranceEmerging Analytical ToolsIndustry Best Practices

Tech Stack

Tools & technologies

Open Source

About the role

Key responsibilities & impact

Refining a new Enterprise-wide analytical tools validation framework
Planning and executing validation projects
Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes
Understanding technical issues in analytical tools and assessing tools risks and opportunities
Independently researching, identifying, and prototyping industry best practices for emerging analytical tools
Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations
Leveraging education, colleagues and training opportunities to develop solutions to business problems
Coaching and mentoring junior staff

Requirements

What you’ll need

Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will 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
Master’s Degree or PhD in a 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 in developing statistical or econometric models (Preferred)
At least 5 years of experience in 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 (Preferred)

Benefits

Comp & perks

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)