Principal Data Analyst - Enterprise Services

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

This role focuses on data analysis, business intelligence, and data management within a financial services company. Responsibilities include leveraging data to solve business problems, developing data solutions and tools, creating dashboards for insights, and ensuring data quality and governance. The role requires strong analytical and technical skills, including scripting (Python, R, Spark, SQL) and experience with AWS services and data warehouses.

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

  • Bachelor’s Degree in quantitative field or equivalent experience
  • 3+ years of experience performing data analytics
  • 3+ years of experience with scripting languages (Python, R, Spark, SQL)
  • 3+ years of experience with business intelligence visualization tools
  • 3+ years of experience in querying, analyzing and working with data languages and platforms

Nice to have

  • Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
  • 4+ years of experience coding in Python, R, Spark, or SQL
  • 4+ years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
  • 2+ years of experience utilizing and developing within AWS services
  • 2+ years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry

What the JD emphasized

  • Degree specialized in a Science, Technology, Engineering, Mathematics discipline
  • Scripting experience in (Python, R, Spark, and SQL)
  • Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
  • Experience utilizing and developing within AWS services
  • At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry