Data Analysis Manager: Lead Data-Driven Innovation

Capital One; Richmond (VA); Hybrid; USD 150,000 - 171,000; Full time

Job summary

Capital One is seeking a Data Analyst to leverage analytic and technical skills to innovate, build, and maintain well‑managed data solutions. This role supports data-driven decisions in a fast-paced, entrepreneurial environment and requires strong problem solving, communication, and leadership capabilities.

The position emphasizes modeling, data mining, process improvements, and large dataset handling. A blend of statistical analysis, programming, and project leadership is expected across

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.
• At least 4 years of experience performing professional data analysis work
• At least 4 years of experience performing programming

Responsibilities

• Assist with building and using models to test and validate data
• 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

SQL

Spark

Tableau

AWS

People management

Project management

Data modeling

Education

Bachelor’s Degree in quantitative field

Master’s Degree

Job description

Capital One is seeking a Data Analyst to leverage analytic and technical skills to innovate, build, and maintain well‑managed data solutions. This role supports data-driven decisions in a fast-paced, entrepreneurial environment and requires strong problem solving, communication, and leadership capabilities.

The position emphasizes modeling, data mining, process improvements, and large dataset handling. A blend of statistical analysis, programming, and project leadership is expected across