Principal Data Analyst (navigator Platform)

Capital One Capital One · Banking · Plano, TX

This role is for a Principal Data Analyst on the Navigator Platform team at Capital One. The team uses analytics, machine learning, and cloud technology to create a digital auto buying experience. The role involves leveraging data to innovate, build data solutions, and provide business intelligence. The candidate will work with various data sources, build self-service frameworks, translate business needs into data solutions, and manage data quality. The team's work ranges from trigger-based campaigns to personalized shopping experiences.

What you'd actually do

  1. Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
  2. Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
  3. Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
  4. Drive analysis that provides meaningful insights on business strategies
  5. Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions

Skills

Required

  • quantitative field degree
  • data analytics experience
  • scripting language experience
  • business intelligence visualization tool experience
  • data languages and platforms experience
  • AWS services experience

Nice to have

  • Master's Degree in a Science, Technology, Engineering, Mathematics discipline
  • coding in Python, R, Spark, or SQL
  • process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
  • delivering Data Governance and Data Quality Management concepts and practices within the financial services industry

What the JD emphasized

  • quantitative field
  • data analytics
  • scripting language
  • business intelligence visualization tool
  • data languages and platforms
  • AWS services
  • Data Governance and Data Quality Management concepts and practices within the financial services industry

Other signals

  • machine learning
  • Cloud technology
  • AI
  • analytics