Sr. Data Analysis Manager

Capital One • McLean, VA

1d • Hybrid

About The Position

The Senior Data Analysis Manager will partner cross-functionally across Capital One to validate business-impacting analytical tools, strengthen technical and analytical capabilities, and work with leaders to influence business strategies. The role operates in a fast-paced, entrepreneurial environment, handling multiple concurrent projects independently and collaboratively.

The IFX Data Intelligence & Insights (DI2) team supports Capital One’s Tech and AI leadership. It builds interactive web applications, intelligent automation pipelines, and experimentation frameworks for operational health across more than 4,000 engineers and leaders. The team owns the IFX OneDashboard, which includes 36 custom products and receives more than 100,000 annual views. Its work combines full-stack data product ownership with executive-level impact.

The position involves developing an enterprise-wide analytical tools validation framework, assessing analytical-tool methodologies and risks, researching and prototyping industry practices for emerging tools, and communicating findings through reports and presentations. It also includes coaching and mentoring junior staff.

Requirements

• Currently have or be in the process of obtaining a bachelor’s degree in a quantitative field, such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Computer Science, plus at least 7 years of data analytics experience; or currently have or be in the process of obtaining a master’s degree plus at least 5 years of data analytics experience. The required degree must be obtained on or before the scheduled start date.
• At least 5 years of professional data analysis experience.
• At least 5 years of experience leading and developing with open-source data technologies.
• At least 2 years of experience managing people.
• Strong problem-solving and conceptual-thinking abilities, as well as communication, interpersonal, and leadership skills.
• Ability to work independently and in teams in a fast-paced environment while managing multiple concurrent projects.

Nice To Haves

• Master’s degree or PhD in Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field.
• At least 7 years of hands-on statistical or econometric work.
• At least 5 years of experience manipulating and analyzing large data sets.
• At least 5 years of experience in the financial services industry.
• At least 5 years of experience developing statistical or econometric models.
• At least 5 years of experience validating statistical or econometric models.
• At least 2 years of experience with data governance.
• At least 2 years of experience with predictive analytics.

Responsibilities

• Refine an enterprise-wide analytical tools validation framework.
• Plan and execute validation projects.
• Assess the quality and risk of analytical tool methodologies across Capital One, as well as how tools are used in related processes.
• Understand technical issues in analytical tools and assess tool-related risks and opportunities.
• Independently research, identify, and prototype industry best practices for emerging analytical tools.
• Communicate results clearly and concisely through verbal communications, validation reports, and presentations.
• Use education, colleague input, and training opportunities to develop solutions to business problems.
• Coach and mentor junior staff.
• Handle multiple concurrent projects independently and as part of teams.

Benefits

• Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being; eligibility varies by employment status and management level.
• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

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