Senior Data Analyst

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

Senior Data Analyst role at Capital One, focusing on leveraging analytic and technical skills to innovate, build, and maintain data solutions. Responsibilities include data mining, building data solutions for self-service, exploring new technologies, partnering with business for insights and visualization, driving data quality management, and managing data access governance.

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. Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
  4. 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
  5. Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions

Skills

Required

  • 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 Snowflake services
  • Bachelor’s Degree in quantitative field or Master’s Degree
  • at least 2 years of experience performing data analytics
  • at least 1 year of experience working with at least one scripting language
  • at least 1 year of experience utilizing business intelligence visualization tool
  • at least 1 year of experience querying, analyzing and working with data languages and platforms

Nice to have

  • Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
  • At least 2 years of experience coding in Python, R, Spark, or SQL
  • At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
  • At least 1 year of experience utilizing and developing within AWS services
  • At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ)