# Manager, Data Analysis - Personal Loans at Capital One

Capital One is hiring a Manager, Data Analysis - Personal Loans. Level rates it Works on AI ●●●○; you can [apply on Capital One](https://jobsbylevel.com/go/412f66b5-6933-4301-b86d-f0278d86301c?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. McLean, VA.

## Details

- Company: [Capital One](https://jobsbylevel.com/companies/capital-one)
- AI level: AI Level 3 (score 65 out of 100)
- Location: McLean, VA
- Posted: September 23, 2026
- Apply: https://jobsbylevel.com/go/412f66b5-6933-4301-b86d-f0278d86301c?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=manager-data-analysis-personal-loans-at-capital-one-f22875

## Prepare for this job

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## Description

Manager, Data Analysis - Personal Loans At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. What you’ll do: Driving the strategy and implementation of AI-readiness initiatives for the Discover Personal Loans (DPL) business, ensuring data is centralized, well-documented, and optimized for advanced analytical modeling Leading the modernization of monitoring and governance processes by automating manual controls and establishing scalable data abstraction layers for seamless integration Championing data quality and standardization efforts to enhance the usability of core DPL data, empowering cross-functional teams to drive business decisions Leverage analytics to create a customer experience above our peers Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers Be a part of the full life cycle of projects and see end results Collaborate across business units Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority Experience real work life balance, with little travel involved On any given day you will be: Mining data to arrive at specific and crucial information for the organization Identifying and implementing process, data, and reporting improvements for the organization Working with large and complex databases containing millions to billions of records Improving operational efficiencies and effectiveness Conducting analysis to evaluate processes and tests Extracting and analyzing data to gauge product offerings Consulting on the design and implementation of new production and data storage systems Developing and implementing strategic tests of products, initiatives and marketing materials An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply. Basic Qualifications 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 6 years of experience performing data analytics, or Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date. At least 4 years of experience performing professional data analysis work At least 4 years of experience performing programming Preferred Qualifications: Master’s Degree in a Science, Technology, Engineering, Mathematics discipline At least 7 years of professional data analysis work experience At least 4 years of experience with Python, R, Spark or SQL At least 1 year of experience in people management At least 1 years of project management experience At least 1 year of experience in Tableau Proficient utilizing and developing within AWS service Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely

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