Director, Data Analytics - US Card (Big Data & Cloud)

Capital One; North Dakota; On-site; USD 210,000 - 263,000; Full time

Job summary

Capital One is seeking a Director of Data Analysis for US Card Data to lead the development and execution of data products and analytics, guiding a team of analysts in data collection, standardization, and interpretation of complex datasets for decision-making and growth.

The role focuses on governance, data strategy, and collaboration with business, data, product, and tech teams. Strong leadership, problem-solving, and strategic execution are essential in this fast-paced environment.

Qualifications

• Bachelor’s Degree + 9+ years in data analytics, or Master’s +7 years, or PhD +4 years.
• At least 5 years of professional data analysis experience.
• At least 5 years of people management experience.
• At least 2 years of Big Data technology experience.
• At least 2 years of Data Visualization experience.

Responsibilities

• Leading the US Card analytical team.
• Driving data source and tool innovations based on stakeholder data needs, including cloud adoption.
• Creating leading-edge data products that uncover opportunities for improvement in the US Card portfolio.
• Leading governance of data assets and development of governance plans.
• Partnering with stakeholders to deliver horizontally and vertically.

Skills

Data analytics

People management

Big data technologies

Data visualization

Python

Education

Bachelor’s Degree + 9+ years in data analytics / Master’s +7 years / PhD +4 years

Tools

AWS

Spark

Kafka

Flink

Job description

Capital One is seeking a Director of Data Analysis for US Card Data to lead the development and execution of data products and analytics, guiding a team of analysts in data collection, standardization, and interpretation of complex datasets for decision-making and growth.

The role focuses on governance, data strategy, and collaboration with business, data, product, and tech teams. Strong leadership, problem-solving, and strategic execution are essential in this fast-paced environment.