Principal Data Analyst - Enterprise Services

Capital One•McLean, VA
•Hybrid

About The Position

Capital One is seeking a Principal Data Analyst for Enterprise Services. Data analysts leverage analytical and technical skills to build and maintain managed data solutions and capabilities that address business problems. The work spans innovation, business intelligence, and data management. In innovation, the role uses open-source and digital technologies to mine complex, high-volume data from varied sources and platforms, builds managed solutions and self-service capabilities, and explores new technologies to advance initiatives. In business intelligence, the analyst partners with business stakeholders to translate needs into tools, techniques, metrics, dashboards, and visualizations, and conducts analyses that inform business strategies. In data management, the analyst promotes data quality principles—including metadata, lineage, and business definitions—works with Technology teams on security and data-access governance, and builds tools to monitor and report data quality. This is a hybrid position subject to Capital One’s policy on required on-site presence at the designated office. The role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Capital One states that it will consider sponsoring a new qualified applicant for employment authorization.

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 has a master’s degree; the required degree must be obtained by the scheduled start date.
  • With a bachelor’s degree, at least 5 years of experience performing data analytics; alternatively, with a master’s degree, at least 3 years of experience performing data analytics.
  • 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.
  • Scripting experience in Python, R, Spark, and SQL is identified among the ideal candidate qualifications.
  • Strong desire and experience working with data in various forms, including data warehouses/SQL and unstructured data.
  • Experience using and developing within AWS services.
  • The role requires adherence to Capital One’s hybrid policy for on-site presence at the designated office location.

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 in the financial services industry.

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 for data consumers.
  • Explore and quickly learn new technologies to advance varied initiatives.
  • Partner with business stakeholders to translate business needs into tools, techniques, metrics, dashboards, and data visualizations.
  • 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.
  • Work 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 health, financial, and other benefits supporting total well-being; eligibility varies by employment status and management level.
  • Performance-based incentive compensation, potentially including cash bonuses and/or long-term incentives.
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