Data Analytics Manager: Strategy, BI & Mentorship

Capital One National Association; Plano (TX); On-site; USD 150,000 - 171,000; Full time

Job summary

Capital One is seeking a Manager, Data Analysis to shape data strategy and lead a team of junior analysts. You will mentor analysts, drive analytics-led decision making, and collaborate across business units in a fast-paced environment with strong BI emphasis.

The role involves building and using models, handling large datasets, and delivering end-to-end data projects while advancing data governance and analytics maturity within the organization.

Qualifications

• Bachelor’s Degree in quantitative field plus at least 6 years of data analytics experience, or Master’s Degree plus at least 4 years of data analytics with degree obtained by start date.
• At least 4 years of experience performing professional data analysis work
• At least 4 years of experience performing programming

Responsibilities

• Mine data to derive crucial information for the organization
• Identify and implement process, data, and reporting improvements
• Work with large and complex databases containing millions to billions of records
• Improve operational efficiencies and effectiveness
• Conduct analysis to evaluate processes and tests
• Extract and analyze data to gauge product offerings
• Consult on design and implementation of new production and data storage systems
• Develop and implement strategic tests of products, initiatives and marketing materials

Skills

Analytical skills

Leadership

Mentoring

Communication

Interpersonal skills

Education

Bachelor's Degree in a quantitative field

Master’s Degree

Tools

Python

R

Spark

SQL

AWS

Job description

Capital One is seeking a Manager, Data Analysis to shape data strategy and lead a team of junior analysts. You will mentor analysts, drive analytics-led decision making, and collaborate across business units in a fast-paced environment with strong BI emphasis.

The role involves building and using models, handling large datasets, and delivering end-to-end data projects while advancing data governance and analytics maturity within the organization.