Data Analysis Manager

Capital One • McLean, VA

19h • Hybrid

About The Position

Capital One’s IFX Data Intelligence & Insights (DI2) team serves as an intelligence engine for Tech and AI leadership. The team builds end-to-end interactive web applications, intelligent automation pipelines, and experimentation frameworks to support operational health across more than 4,000 engineers and leaders. It owns the IFX OneDashboard, which includes 36 custom products and receives more than 100,000 annual views. The role contributes to the platforms, guardrails, and visualizations shaping technology insights.

The Data Analysis Manager uses analytics to inform current and future strategy, test and validate data, improve customer experiences, and support the company’s presence in emerging markets. The position includes leading and mentoring junior analysts, contributing across the full project life cycle, collaborating across business units, and working on multiple concurrent projects in an entrepreneurial, fast-paced environment. The role has a strong Business Intelligence component, and candidates with a BI background are encouraged to apply. It is designated as hybrid, with on-site attendance required under Capital One’s hybrid policy at the assigned office location. The role involves little travel.

Requirements

• Currently has or is pursuing a bachelor’s degree in a quantitative field (such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Computer Science) and at least 6 years of data analytics experience; or a master’s degree and at least 4 years of data analytics experience. The required degree must be obtained on or before the scheduled start date.
• At least 4 years of professional data analysis experience.
• At least 4 years of programming experience.
• Strong problem-solving and conceptual-thinking abilities.
• Strong communication, interpersonal, and leadership skills.
• Ability to work independently and collaboratively in a fast-paced environment while handling multiple concurrent projects.

Nice To Haves

• Master’s degree in a Science, Technology, Engineering, or Mathematics discipline.
• At least 7 years of professional data analysis experience.
• At least 4 years of experience with Python, R, Spark, or SQL.
• At least 1 year of people-management experience.
• At least 1 year of project-management experience.
• At least 1 year of Tableau experience.
• Proficiency in using and developing within AWS services.
• Business Intelligence background.
• Passion for innovative analytical technology and tools.

Responsibilities

• Drive current and future strategy using analytical skills.
• Assist with building and using models to test and validate data.
• Work with large amounts of data in new and evolving environments.
• Use analytics to improve customer experience and support development in emerging markets.
• Lead, mentor, and develop junior analysts.
• Contribute throughout the full life cycle of projects and assess end results.
• Collaborate across business units.
• Mine data to identify important 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 efficiency and effectiveness.
• Conduct analysis to evaluate processes and tests.
• Extract and analyze data to assess product offerings.
• Consult on the design and implementation of production and data storage systems.
• Develop and implement strategic tests of products, initiatives, and marketing materials.
• Handle multiple concurrent projects, working independently and in teams.

Benefits

• Comprehensive health, financial, and other benefits supporting total well-being.
• Performance-based incentive compensation, potentially including cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager