Manager, Data Analysis -(Auto Navigator)

Capital One•Plano, TX
•$149,800 - $171,000

About The Position

Capital One seeks a Manager, Data Analysis for Auto Navigator. The role uses analytics to inform current and future strategy, test and validate data models, improve customer experiences, and support the company’s growth in emerging markets. The manager leads and mentors junior analysts, contributes across the full project lifecycle, and collaborates across business units in a fast-paced, entrepreneurial environment. The position includes a strong Business Intelligence component and involves little travel. The role works with large and complex datasets and databases, ranging from millions to billions of records. It evaluates products and processes, improves operational efficiency and reporting, consults on production and data-storage system design, and develops strategic tests for products, initiatives, and marketing materials. The work may involve multiple concurrent projects, performed independently and in teams. The listed full-time annual salary range for Plano, Texas, is $149,800–$171,000. The role is also eligible for performance-based incentive compensation, potentially including cash bonuses and/or long-term incentives. Capital One describes its benefits as a comprehensive, competitive, and inclusive set of health, financial, and other benefits; eligibility varies by employment and management status.

Requirements

  • Currently has, or is obtaining by the scheduled start date, a bachelor’s degree in a quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Computer Science, plus at least 6 years of data analytics experience; or a master’s degree plus at least 4 years of data analytics experience.
  • At least 4 years of experience performing professional data analysis work.
  • At least 4 years of experience performing programming.
  • Strong problem-solving and conceptual-thinking abilities.
  • Communication, interpersonal, and leadership skills.
  • Ability to handle 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 4 years of experience coding in Python, R, Spark, or SQL.
  • At least 4 years of experience with process management and improvement methodologies such as Agile, Lean, or Six Sigma.
  • At least 2 years of experience utilizing and developing within AWS services.
  • At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices in the financial services industry.
  • 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.
  • Support brand development in new and emerging markets.
  • Use analytics to create a customer experience that exceeds peers.
  • Lead, mentor, and develop junior analysts.
  • Participate in the full project lifecycle and see results through to completion.
  • Collaborate across business units.
  • Mine data to identify information crucial to 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 gauge 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

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