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Capital One
Capital One
H1B Visa SponsorBankingFinanceFintech
Capital One is a financial services and fintech company offering credit cards, auto loans, banking, and savings products. Its work combines financial expertise with technology and digital tools to improve how customers manage money. The company’s careers focus includes building customer-oriented solutions within a diverse and inclusive workforce.
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Principal Data Analyst, Credit Card

Develop governed data solutions, dashboards, and business insights for Capital One’s credit card business. This hybrid role is based in McLean or Richmond, Virginia.

USUnited StatesVAVirginia
$119,400 – $149,800 / year
HybridFull-timeLeadEnglish RequiredData Analyst
AWSPythonSparkSQL

Description

  • Develop and maintain well-governed data solutions and capabilities using analytical and technical skills.
  • Analyze complex, high-volume data from varied sources and platforms with open-source and digital technologies.
  • Create data tools and capabilities that enable consumers to access data through self-service frameworks.
  • Assess new technologies and apply them to a range of initiatives.
  • Advise business partners and translate their needs into tools, methods, metrics, and dashboards.
  • Analyze data to generate actionable insights into business strategies.
  • Support data quality practices, including metadata, lineage, and business definitions.
  • Work with Technology teams on security controls and data access governance.
  • Develop and run tools to monitor and report data quality.

Requirements

  • A degree specialized in a science, technology, engineering, or mathematics discipline.
  • A bachelor’s degree in a quantitative field and at least 5 years of data analytics experience, or a master’s degree and at least 3 years of data analytics experience.
  • The required degree must be completed by the scheduled start date.
  • At least 3 years of experience with a 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 with Python, R, Spark, and SQL.
  • Experience with data warehouses, SQL, and unstructured data.
  • Experience using and developing with AWS services.
  • Preferred: A master’s degree in a STEM discipline.
  • Preferred: At least 4 years of coding with Python, R, Spark, or SQL.
  • Preferred: At least 4 years of experience with Agile, Lean, Six Sigma, or similar process methodologies.
  • Preferred: At least 2 years of experience using and developing with AWS services.
  • Preferred: At least 2 years of experience delivering data governance and data quality management practices in financial services.

Benefits

  • Performance-based incentive compensation, which may include cash bonuses or long-term incentives.
  • A comprehensive, competitive, and inclusive range of health, financial, and other benefits supporting overall well-being.
  • Employment authorization sponsorship may be considered for qualified new applicants.

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