Sr. Manager, Data Analysis

Capital One•McLean, VA
•$200,700 - $229,100•Hybrid

About The Position

At Capital One, data is central to the company’s work and business decision-making. The Senior Manager, Data Analysis partners cross-functionally to validate business-impacting analytical tools, strengthen technical and analytical capabilities, and work with leaders to influence business strategies. The position operates in a fast-paced, entrepreneurial environment, handling concurrent projects independently and collaboratively. The role focuses on refining an enterprise-wide analytical tools validation framework; planning and executing validation projects; assessing the quality, risk, and usage of analytical tool methodologies; understanding technical issues and evaluating risks and opportunities; and researching and prototyping industry best practices for emerging tools. The Senior Manager communicates findings through validation reports and presentations, develops solutions to business problems, and coaches and mentors 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 experience performing professional data analysis work.
  • 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 handle multiple concurrent projects and work independently and in teams.

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, including how tools are used in related processes.
  • Understand technical issues in analytical tools and assess tool risks and opportunities.
  • Independently research, identify, and prototype industry best practices for emerging analytical tools.
  • Communicate results clearly through written validation reports, presentations, and verbal communication.
  • Use education, colleagues, and training opportunities to develop solutions to business problems.
  • Coach and mentor junior staff.
  • Partner cross-functionally and work with leaders to influence business strategies.

Benefits

  • Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being.
  • Eligibility for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
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