Principal Data Analyst

Capital One•McLean, VA
•Hybrid

About The Position

At Capital One, data is central to decision-making. The Principal Data Analyst uses analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities that address business problems. The work spans innovation, business intelligence, and data management. In innovation, the analyst uses open-source and digital technologies to mine complex, high-volume, varied data sources and platforms; builds data solutions, tools, and capabilities that enable self-service for data consumers; and explores new technologies to advance initiatives. In business intelligence, the analyst partners with business teams to translate needs into tools, techniques, metrics, and dashboards, and drives analyses that provide meaningful insights on business strategies. In data management, the analyst promotes data quality principles—including metadata, lineage, and business definitions—collaborates with technology teams on security mechanisms and data access governance, and builds and executes tools to monitor and report data quality. This is a hybrid position, with required on-site presence according to Capital One’s hybrid policy. The role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. The listed annual salary ranges are $131,300–$149,800 in McLean, Virginia, and $119,400–$136,200 in Richmond, Virginia. Candidates hired in other locations are subject to the pay range for that location.

Requirements

  • Currently has or is pursuing a bachelor’s degree in a quantitative field—such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Computer Science—or a related quantitative field, plus at least 5 years of data analytics experience; alternatively, a master’s degree plus at least 3 years of data analytics experience. The required degree must be obtained on or before the scheduled start date.
  • At least 3 years of experience working with at least one scripting language.
  • At least 3 years of experience using a business intelligence visualization tool.
  • At least 3 years of experience querying, analyzing, and working with data languages and platforms.
  • Strong desire and experience working with data in various forms, including data warehouses/SQL and unstructured data.
  • Experience utilizing and developing within AWS services.
  • Scripting experience in Python, R, Spark, and SQL.

Nice To Haves

  • Master’s degree in a Science, Technology, Engineering, or Mathematics discipline.
  • At least 4 years of experience coding in Python, R, Spark, or SQL.
  • At least 4 years of experience with process management and improvement methodologies, such as Agile, Lean, or Six Sigma.
  • 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.

Responsibilities

  • Use open-source and digital technologies to mine complex, high-volume, varied data sources and platforms.
  • Build well-managed data solutions, tools, and capabilities that enable self-service frameworks for data consumers.
  • Explore and quickly learn new technologies to advance varied initiatives.
  • Partner with business teams to translate business needs into tools, techniques, metrics, and dashboards for insights and data visualization.
  • Drive analysis that provides meaningful insights on business strategies.
  • Promote understanding of and adherence to data quality management principles, including metadata, lineage, and business definitions.
  • Collaborate with appropriate technology teams to manage security mechanisms and data access governance.
  • Build and execute tools to monitor and report on data quality.

Benefits

  • Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being.
  • Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service