Capital One-posted 4 months ago
$115,900 - $145,500/Yr
Full-time • Mid Level
McLean, VA

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. In Capital One’s Credit Review, we provide independent and objective assurance relative to credit risk management. You will partner with best-in-class credit reviewers, data scientists, product managers and engineers to innovate solutions that directly impact the company’s bottom line in a meaningful way. You will do it all in a collaborative environment that values your insight, encourages you to take on new responsibilities, promotes continuous learning, and rewards innovation.

  • 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.
  • Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives.
  • 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.
  • Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance.
  • Build and execute tools to monitor and report on data quality.
  • 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.
  • 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.
  • 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.
  • Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
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