Data Analysis Manager - Office of the Chief Data Officer, Central Analytics and Reporting

Capital One; McLean (VA); On-site; USD 120,000 - 190,000; Full time

Job summary

Capital One seeks a Data Analysis Manager for the Office of the Chief Data Officer, Central Analytics and Reporting in McLean, VA. You will lead a team of junior analysts, leverage AI, and drive data risk metrics across the enterprise.

The role partners with executives to standardize metrics and enable data-driven decision making. You will build dashboards, validate models, and transform complex data into actionable insights, influencing data strategy and governance initiatives across Capital

Qualifications

• Bachelor's or Master’s degree in a quantitative field with data analytics experience.
• 4+ years of data analytics experience if holding a Bachelor's; 4+ years with a Master's with degree completion by start date.
• 4+ years of professional data analysis experience.
• 4+ years of programming experience.

Responsibilities

• Define and publish enterprise data risk metrics across LOBs.
• Build and evolve dashboards and data products for data governance visibility.
• Monitor metrics, identify risks, and deliver actionable insights to leaders.

Skills

Python

R

Spark

SQL

Data analytics

Programming

Team leadership

Stakeholder communication

Education

Bachelor's Degree in quantitative field

Master's Degree

Job description

Data Analysis Manager - Office of the Chief Data Officer, Central Analytics and Reporting

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

Join the Analytics & Transformation team and help shape the future of data management at Capital One. You'll sit at the heart of our enterprise-wide data strategy, partnering with Data Managers, Product Managers, Engineers, Risk Managers, Business Analysts, and executives to define, standardize, and deliver the metrics that measure the health of our data. You'll turn data risk metrics into insights and action, evolve our measurement capabilities as policies and business needs change, and serve as a strategic thought partner to stakeholders and senior leadership.

What you’ll do:

• 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
• Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers
• Be a part of the full life cycle of projects and see end results
• Collaborate across business units
• Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority

What You'll Do

• Partner across LOBs to define, standardize, and publish enterprise data risk metrics.
• Build and evolve dashboards and data products that provide visibility into data management and governance.
• Monitor metrics, identify emerging risks and trends, and generate actionable insights for leaders.
• Translate evolving data policies and requirements into meaningful metrics and monitoring.
• Use AI to automate and transform how we create, manage, and consume data risk metrics.
• Lead cross-functional initiatives and influence stakeholders without direct authority.
• Present insights and recommendations to VP+ leaders and executives across Capital One.
• Challenge the status quo and help shape the long-term strategy for data management.

Why This Role Matters:

Your work will directly influence how Capital One measures and improves the health of its data. You'll gain broad executive visibility, deliver measurable impact on critical risk outcomes, and become a key thought leader in making our data well-managed and easy to govern.

On any given day you will be:

• 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

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

Basic Qualifications:

• Currently has, or is in the process of obtaining a:
• 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

Preferred Qualifications:

• Master's Degree in a Science, Technology, Engineering, Mathematics discipline
• At least 7 years of professional data analysis work experience
• At least 4 years of experience with Python, R, Spark or SQL
• At least 1 year of experience in people management
• At least 1 years of project managem