Senior Data Analyst

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

This role focuses on leveraging analytic and technical skills to innovate, build, and maintain data solutions and capabilities for business problems. Responsibilities include mining data sources, building data solutions for self-service, providing business intelligence through dashboards and insights, and managing data quality, metadata, and lineage. The role requires scripting experience (Python, R, Spark, SQL) and familiarity with data warehouses, unstructured data, and Snowflake 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. Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance

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 (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree
  • 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)