Principal Data Analyst - Enterprise Services

Capital One•McLean, VA
•$119,400 - $163,500•Hybrid

About The Position

At Capital One, data is central to decision-making. As a Principal Data Analyst in Enterprise Services, you will use analytical 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, you will use open-source and digital technologies to mine complex, high-volume, and varied data sources and platforms; build managed data solutions, tools, and capabilities that enable self-service for data consumers; and learn new technologies to advance initiatives. In business intelligence, you will work with business partners to translate needs into tools, techniques, metrics, and dashboards, and conduct analysis that informs business strategies. In data management, you will promote data-quality principles, including metadata, lineage, and business definitions; collaborate with technology teams on security and data-access governance; and build and run tools to monitor and report data quality. This is a hybrid role, subject to Capital One’s hybrid policy for on-site presence at the designated office. The position is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Capital One offers health, financial, and other benefits; eligibility varies based on employment status and management level.

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) and at least 5 years of data analytics experience; or has a master’s degree and 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.
  • The posting identifies a degree specialized in a Science, Technology, Engineering, or Mathematics discipline, scripting experience in Python, R, Spark, and SQL, experience with data in different forms including data warehouses, SQL, and unstructured data, and experience using and developing within AWS services as characteristics of the ideal candidate.

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 using 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, and 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, dashboards, insights, and data visualizations.
  • Conduct analysis that provides meaningful insights into business strategies.
  • Promote understanding 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; eligibility varies by employment status and management level.
  • Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
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