Senior Manager, Data Analyst – Product Analytics

Capital One

. Lead Product Analytics across Enterprise Data Product teams .

Posted 10/26/2026full-timeUnited StatesSenior💰 $200,700 - $249,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading product analytics and transforming complex data into actionable insights. Proficient in statistical modeling, data validation, and managing analytical tools within the financial services industry.

Highest-signal resume keywords

Data AnalyticsStatistical ModelingOpen Source Data TechnologiesPeople ManagementPredictive Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical MethodsEconometricsData ValidationLarge Data Set ManipulationAnalytical Tools AssessmentAI-Enabled InsightsAnalytical Framework DevelopmentRisk AssessmentIndustry Best Practices Research

Soft Skills

CoachingMentoringCommunicationProject ManagementCollaboration

Industry Keywords

Financial ServicesData GovernanceQuantitative FieldBachelor's DegreeMaster's DegreePhDOperations ResearchIndustrial EngineeringEconomicsStatistics

Tech Stack

Tools & technologies

Open Source

About the role

Key responsibilities & impact

Lead Product Analytics across Enterprise Data Product teams
Measure and improve the performance and health of products and platforms
Transform complex data into actionable, AI-enabled insights that shape product strategy and drive decisions
Refine an enterprise-wide analytical tools validation framework
Plan and execute validation projects
Assess the quality and risk of analytical tool methodologies and tools usage processes
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, presentations, and verbal communication
Develop solutions to business problems using education, colleagues, and training opportunities
Coach and mentor junior staff
Handle multiple concurrent projects independently and collaboratively

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 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 analyzing large data sets
Preferred: At least 5 years of experience in the 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
Hybrid work arrangement