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Manager, Data Analysis – Personal Loans
Capital One. Drive strategy and implementation of AI-readiness initiatives for the Discover Personal Loans business .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics, programming, and team leadership, with a strong focus on improving operational efficiency and customer experience through advanced analytical modeling and data governance. Proficient in utilizing tools such as Python, R, SQL, and Tableau within AWS environments to drive strategic initiatives.
Highest-signal resume keywords
Data AnalyticsPython ProgrammingAWS ServicesTableauPeople Management
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 AnalysisProgrammingAdvanced Analytical ModelingData QualityData StandardizationProcess ImprovementStatistical AnalysisData MiningProject ManagementBusiness Intelligence
Soft Skills
Problem-SolvingConceptual ThinkingCommunicationInterpersonal SkillsLeadership
Tools & Technologies
PythonRSparkSQLTableauAWS
Industry Keywords
Data GovernanceOperational EfficiencyCustomer ExperienceData AbstractionAnalytical Modeling
Tech Stack
Tools & technologiesAWSPythonSparkSQLTableau
About the role
Key responsibilities & impact- Drive strategy and implementation of AI-readiness initiatives for the Discover Personal Loans business
- Centralize, document, and optimize data for advanced analytical modeling
- Modernize monitoring and governance processes by automating manual controls and establishing scalable data abstraction layers
- Champion data quality and standardization efforts for core business data
- Leverage analytics to improve customer experience
- Lead, mentor, and develop a team of junior analysts
- Participate in the full life cycle of projects
- Collaborate across business units
- Mine data for crucial organizational information
- Implement process, data, and reporting improvements
- Work with large and complex databases containing millions to billions of records
- Improve operational efficiency and effectiveness
- Conduct analyses to evaluate processes and tests
- Extract and analyze data to assess product offerings
- Consult on new production and data storage systems
- Develop and implement strategic tests for products, initiatives, and marketing materials
Requirements
What you’ll need- Bachelor's Degree in a quantitative field plus at least 6 years of experience performing data analytics, or Master's Degree plus at least 4 years of experience performing data analytics
- At least 4 years of experience performing professional data analysis work
- At least 4 years of experience performing programming
- Master's Degree in a STEM 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 (preferred)
- Proficiency utilizing and developing within AWS services (preferred)
- 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
Benefits
Comp & perks- Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
- Comprehensive health, financial, and other benefits supporting total well-being
- Work-life balance with little travel involved
- Reasonable accommodations for applicants with disabilities