Principal Data Analyst - Global Payment Network

Capital One Capital One · Banking · Riverwoods, IL +2

This role focuses on data analysis and management within Capital One's Global Payment Network business. Responsibilities include mining data, building data solutions, creating business intelligence dashboards, and ensuring data quality. The role requires strong analytical skills, experience with scripting languages like Python and SQL, and familiarity with AWS services. While the company mentions GenAI and text modeling as topics within the department, this specific role is centered on data analysis and management rather than direct AI/ML model development.

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 an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
  5. Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance

Skills

Required

  • Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 5 years of experience performing data analytics, or Master’s Degree plus at least 3 years performing data analytics
  • At least 3 years of experience working with at least one scripting language
  • At least 3 years of experience utilizing a business intelligence visualization tool
  • At least 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
  • At least 4 years of experience coding in Python, R, Spark, or SQL
  • At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
  • 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 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
  • Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
  • At least 4 years of experience coding in Python, R, Spark, or SQL
  • At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
  • 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 within the financial services industry