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Senior Data Analysis Manager
Capital One. Partner cross-functionally with teams throughout the company 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 and validation frameworks, with a strong focus on assessing analytical tool methodologies and risks. Proven ability to lead teams, mentor junior staff, and communicate complex results effectively.
Highest-signal resume keywords
Data AnalyticsAnalytical Tools ValidationOpen Source Data TechnologiesProject ManagementLeadership
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 AnalysisAnalytical Tool MethodologiesRisk AssessmentPrototyping Best PracticesValidation Frameworks
Soft Skills
Problem SolvingConceptual ThinkingCommunication SkillsInterpersonal SkillsMentoring
Tools & Technologies
Capital One TechAI InsightsData Visualization Platforms
Certifications & Qualifications
Bachelor’s Degree in Quantitative FieldMaster’s Degree in Quantitative Field
Industry Keywords
Analytical ToolsBusiness ImpactCross-Functional CollaborationEmerging Analytical Tools
Tech Stack
Tools & technologiesOpen Source
About the role
Key responsibilities & impact- Partner cross-functionally with teams throughout the company 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 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
- Build platforms, guardrails, and visualizations for Capital One Tech and AI insights
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 expected by 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
- Strong problem solving and conceptual thinking abilities
- Communication, interpersonal, and leadership skills
- Ability to handle multiple concurrent projects independently and in teams
- 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