Data Analyst

18 hours ago

Richmond, Virginia, United States Capital One Full time
Job Summary

Capital One is seeking a highly skilled Data Analyst to join our External Affairs team. As a Data Analyst, you will be responsible for leveraging analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.

This role is uniquely positioned to reimagine the EA Intelligence Team's data infrastructure, enabling Capital One to produce better, more real-time insights into how we are showing up as a company in the marketplace, as well as the areas where we can make an even bigger and better impact in the communities that we serve.

Key Responsibilities
  • Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
  • Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
  • 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
  • Drive analysis that provides meaningful insights on business strategies
  • Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
Requirements
  • Currently has, or is in the process of obtaining a Bachelor's Degree plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 3 years in data analytics, or currently has, or is in the process of obtaining a PhD with an expectation that required degree will be obtained on or before the scheduled start date
  • 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
Preferred Qualifications
  • 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

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