Analytics & Transformation Lead — Data Strategy & AI Insights

Capital One Group; McLean (VA); On-site; USD 165,000 - 188,000; Full time

Job summary

Capital One in McLean, VA is seeking a Data Analysis Manager to lead Analytics & Transformation across enterprise data products. You will mentor junior analysts, develop AI-enabled insights, and drive strategy with quantitative methods.

You will manage complex data sets, build models, collaborate across product, technology, and risk teams, and help shape product strategy with data-driven decisions. The role offers a fast-paced, BI-focused environment with competitive benefits.

Qualifications

• 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

Responsibilities

• Drive current and future strategy by leveraging your analytical skills.
• Assist with building and using models to test and validate data.
• Work with vast amounts of data in new and evolving environments.
• Be a part of growing and developing our brand in new and emerging markets.
• Leverage analytics to create a customer experience above our peers.

Skills

Python

R

Spark

SQL

Tableau

AWS

Leadership

Project Management

Communication

Analytical Thinking

Education

Bachelor's Degree in a quantitative field

Master’s Degree

Tools

Python

R

Spark

SQL

Tableau

AWS

Job description

Capital One in McLean, VA is seeking a Data Analysis Manager to lead Analytics & Transformation across enterprise data products. You will mentor junior analysts, develop AI-enabled insights, and drive strategy with quantitative methods.

You will manage complex data sets, build models, collaborate across product, technology, and risk teams, and help shape product strategy with data-driven decisions. The role offers a fast-paced, BI-focused environment with competitive benefits.