Lead Data Analytics Manager - Personal Loans

ITSMF; McLean (VA); On-site; USD 165,000 - 188,000; Full time

Job summary

Capital One is seeking a Manager of Data Analysis for Personal Loans to drive AI-ready data strategy, governance, and high-quality analytics across the DPL business. You will mentor junior analysts, lead cross-functional collaboration, and oversee end-to-end data projects in a fast-paced environment.

The role emphasizes centralized data, scalable analytics, and strong problem-solving. A BI background is highly encouraged, with sponsorship considerations noted in the posting.

Qualifications

• 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 with an expectation that required degree will be obtained on or before the scheduled start date.

Responsibilities

• 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

Skills

Python

R

Spark

SQL

People management

Project management

Tableau

AWS

Education

Bachelor's degree in quantitative field

Master's degree

Job description

Capital One is seeking a Manager of Data Analysis for Personal Loans to drive AI-ready data strategy, governance, and high-quality analytics across the DPL business. You will mentor junior analysts, lead cross-functional collaboration, and oversee end-to-end data projects in a fast-paced environment.

The role emphasizes centralized data, scalable analytics, and strong problem-solving. A BI background is highly encouraged, with sponsorship considerations noted in the posting.