Manager, Data Analysis

Capital One • McLean, VA

2d • $164,800 - $188,100

About The Position

Capital One is seeking a Manager, Data Analysis to use analytics to drive current and future business strategy and support a data-driven customer experience. The role involves working with large, complex datasets and databases, building and validating models, improving processes and reporting, evaluating products and initiatives, and contributing throughout the full project life cycle. The manager will lead and mentor junior analysts and collaborate across business units in a fast-paced, entrepreneurial environment. The position has a strong Business Intelligence component; candidates with a BI background are encouraged to apply. The role involves little travel and offers a stated focus on work-life balance.

The position requires a quantitative bachelor's degree (or one in progress) and at least six years of data analytics experience, or a master's degree (or one in progress) and at least four years of data analytics experience. Candidates must also have at least four years of professional data analysis experience and four years of programming experience. The required degree must be obtained by the scheduled start date.

The listed full-time annual salary ranges are $164,800–$188,100 in McLean, Virginia, and $149,800–$171,000 in Richmond, Virginia. The role is also eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Capital One offers health, financial, and other benefits; eligibility varies by employment status and management level.

Requirements

• Currently has, or is in the process of obtaining, a bachelor's degree in a quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field, plus at least six years of data analytics experience; alternatively, currently has or is obtaining a master's degree plus at least four years of data analytics experience. The required degree must be obtained on or before the scheduled start date.
• At least four years of professional data analysis experience.
• At least four years of programming experience.
• Strong problem-solving and conceptual-thinking abilities.
• Strong communication, interpersonal, and leadership skills.
• Ability to manage multiple concurrent projects and work independently and in teams.

Nice To Haves

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

Responsibilities

• Leverage analytical skills to drive current and future strategy.
• Build and use models to test and validate data.
• Work with large amounts of data in new and evolving environments.
• Contribute to the company's growth and development in new and emerging markets.
• Use analytics to improve the customer experience.
• Lead, mentor, and develop junior analysts.
• Participate in the full project life cycle and evaluate 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.

Benefits

• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
• Health, financial, and other benefits supporting total well-being.

What This Job Offers

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