Manager, Data Analysis - Card Data

Capital One Capital One · Banking · McLean, VA +1

This role is for a Manager of Data Analysis in the fintech domain, focusing on leveraging analytical skills and data to drive strategy, build and validate models, and improve customer experience. The role involves working with large datasets, improving operational efficiencies, and leading a team of analysts. It has a strong Business Intelligence component and requires experience in quantitative fields and data analysis, with preferred qualifications in Python, R, Spark, SQL, and AWS.

What you'd actually do

  1. Drive current and future strategy by leveraging your analytical skills
  2. Assist with building and using models to test and validate data
  3. Work with vast amounts of data in new and evolving environments
  4. Be a part of growing and developing our brand in new and emerging markets
  5. Leverage analytics to create a customer experience above our peers

Skills

Required

  • Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
  • At least 4 years of experience performing professional data analysis work
  • At least 4 years of experience performing programming

Nice to have

  • Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
  • At least 7 years of professional data analysis work experience
  • At least 4 years of experience with Python, R, Spark or SQL
  • At least 1 year of experience in people management
  • At least 1 years of project management experience
  • At least 1 year of experience in Tableau
  • Proficient utilizing and developing within AWS service

What the JD emphasized

  • passion for data-driven decision-making
  • Analytical technology
  • strong problem solving and conceptual thinking abilities
  • communication, interpersonal and leadership skills
  • fast-paced and entrepreneurial environment
  • handling multiple concurrent projects
  • working independently and in teams
  • strong Business Intelligence component
  • BI background