Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Capital One

Manager, Data Analysis – Personal Loans

Capital One

. Drive the strategy and implementation of AI-readiness initiatives for the Discover Personal Loans business .

Posted 9/23/2026full-timeUnited StatesMid-LevelSenior💰 $149,800 - $188,100 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in data analytics, project management, and team leadership, with a strong focus on improving operational efficiency and customer experience through data-driven strategies. Proficient in programming and utilizing advanced analytical tools to optimize data processes and governance.

Highest-signal resume keywords
Data AnalyticsProject ManagementPythonAWS ServicesTableau

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalysisProgrammingStatistical ModelingData Quality ManagementData GovernanceProcess ImprovementAnalytical ModelingData ExtractionData MiningTest Analysis
Soft Skills
Team LeadershipCollaborationMentoringCommunicationProblem Solving
Tools & Technologies
AWSTableauSQLSparkRPython
Industry Keywords
Data AbstractionOperational EfficiencyCustomer ExperiencePersonal LoansData Standardization

Tech Stack

Tools & technologies
AWSPythonSparkSQLTableau

About the role

Key responsibilities & impact
  • Drive the 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 personal-loan data
  • Leverage analytics to improve customer experience
  • Lead and mentor a team of junior analysts
  • Manage projects through their full life cycle and deliver end results
  • Collaborate across business units
  • Mine large datasets to identify crucial organizational information
  • Implement process, data, and reporting improvements
  • Work with databases containing millions to billions of records
  • Improve operational efficiency and effectiveness
  • Conduct process and test analyses
  • Extract and analyze data to evaluate 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
  • Required degree must be obtained on or before the scheduled start date
  • At least 4 years of professional data analysis work
  • At least 4 years of programming experience
  • Preferred: 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
  • Proficiency utilizing and developing within AWS services
  • 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