Data Analytics Manager — Strategy, Risk & Insights

Capital One; North Dakota; On-site; USD 150,000 - 188,000; Full time

Job summary

Capital One is seeking a Manager of Data Analysis in the Commercial Underwriting and Portfolio Management organization. The role focuses on driving strategy through analytics, building models, and developing next-generation tools with automation and API integration.

The position involves working with large datasets, cross-functional collaboration, and leadership responsibilities in a fast-paced environment. Strong BI expertise and a passion for data are essential.

Qualifications

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

Responsibilities

• Mine data to extract crucial organizational information.
• Identify and implement process, data, and reporting improvements.
• Work with large, complex datasets containing thousands to millions of records.
• Improve operational efficiencies and effectiveness.
• Conduct analyses to evaluate processes and tests.
• Identify opportunities for standardization, modular development, and scalability.
• Consult on design/implementation of new production and data storage systems.
• Develop and test strategic experiments for products and marketing materials.

Skills

Python

R

Spark

SQL

Tableau

AWS

Leadership

Project management

Data analysis

Education

Bachelor's degree in quantitative field

Master's degree in STEM

Tools

AWS

Tableau

Job description

Capital One is seeking a Manager of Data Analysis in the Commercial Underwriting and Portfolio Management organization. The role focuses on driving strategy through analytics, building models, and developing next-generation tools with automation and API integration.

The position involves working with large datasets, cross-functional collaboration, and leadership responsibilities in a fast-paced environment. Strong BI expertise and a passion for data are essential.