Principal Data Analyst - Card

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

This role focuses on leveraging data analytics and technical skills to innovate, build, and maintain data solutions and capabilities for business problems within the fintech domain. Responsibilities include data mining, building data solutions, business intelligence, data visualization, and data management, including data quality, metadata, lineage, and access governance. The role requires scripting experience (Python, R, Spark, SQL) and experience with AWS services.

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. Build and execute tools to monitor and report on data quality

Skills

Required

  • 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
  • Bachelor’s Degree plus at least 5 years of experience in data analytics, or Master’s Degree plus at least 3 years in data analytics, or PhD
  • At least 3 years of experience in at least one scripting language
  • At least 1 year of experience utilizing a business intelligence visualization tool
  • At least 3 years of experience in querying and 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

  • data quality management
  • data governance