Senior Data Analyst

Capital One•McLean, VA
•Hybrid

About The Position

Capital One is seeking a Senior Data Analyst to use analytic and technical skills to build, maintain, and improve data solutions that address business problems. The role spans innovation, business intelligence, and data management. The analyst will work with varied and complex data sources, develop tools and self-service capabilities, partner with business stakeholders to deliver insights and visualizations, and support data quality, governance, and access management. This is a hybrid role subject to Capital One’s on-site presence policy for the designated office location. The role is eligible for performance-based incentive compensation.

Requirements

  • Currently has or is pursuing a bachelor’s degree in a quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field, and at least 2 years of data analytics experience; alternatively, currently has or is pursuing a master’s degree, with the required degree expected by the scheduled start date.
  • At least 1 year of experience working with at least one scripting language.
  • At least 1 year of experience using a business intelligence visualization tool.
  • At least 1 year of experience querying, analyzing, and working with data languages and platforms.
  • Experience or strong interest in working with varied forms of data, including data warehouses/SQL and unstructured data.
  • Knowledge of scripting languages such as Python, R, Spark, and SQL.

Nice To Haves

  • Master’s degree in a Science, Technology, Engineering, or Mathematics discipline.
  • At least 2 years of experience coding in Python, R, Spark, or SQL.
  • At least 2 years of experience with process management and improvement methodologies such as Agile, Lean, or Six Sigma.
  • At least 1 year of experience using and developing within AWS services.
  • At least 1 year of experience with data governance and data quality management concepts and tools, such as Informatica DQ.
  • Experience using and developing within Snowflake services.

Responsibilities

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

Benefits

  • Comprehensive 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