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Principal Data Analyst, Card Tech Workforce StrategyCapital One • Richmond, Virginia, United States
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Principal Data Analyst, Card Tech Workforce Strategy

Capital One
  • US
    Richmond, Virginia, United States
  • US
    Richmond, Virginia, United States
Jetzt Bewerben

Über

Overview Principal Data Analyst, Card Tech Workforce Strategy The Workforce Strategy & Operations (WS&O) team in Card Tech+ is seeking a Principal Data Analyst to drive several high-priority workforce analytics and automation initiatives in the year ahead. In this role, you will transform high-level strategy into tangible operational impact, delivering sophisticated analytics for a global footprint of 4,500+ associates. By leveraging AI-driven automation with Google Apps Script, Gemini, and Claude Code, you will build the next generation of self-service tools that enable our leadership to move with unmatched precision and speed. At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. On any given day you will be challenged on three types of work – Innovation, Business Intelligence and Data Management: Innovation Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
Business Intelligence Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
Drive analysis that provides meaningful insights on business strategies
Data Management Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
Build and execute tools to monitor and report on data quality
Our ideal candidate will have: Degree specialized in a Science, Technology, Engineering, Mathematics discipline
Scripting experience in (Python, R, Spark, and SQL)
Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
Experience leveraging HR, Finance, and/or Operations data to drive decision making
Experience utilizing AppScript, Claude Code, Gemini, and developing within AWS services
Basic Qualifications: Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 5 years of experience performing data analytics, or, a Master’s Degree plus at least 3 years performing data analytics with an expectation that required degree will 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 utilizing a business intelligence visualization tool
At least 3 years of experience in querying, analyzing and working with data languages and platforms
Preferred Qualifications: Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
At least 4 years of experience coding in Python, R, Spark, or SQL
At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
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
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $131,300 - $149,800 for Principal Data AnalystRichmond, VA: $119,400 - $136,200 for Principal Data AnalystNew York, NY: $143,200 - $163,500 for Principal Data AnalystChicago, IL: $119,400 - $136,200 for Principal Data Analyst Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. #J-18808-Ljbffr
  • Richmond, Virginia, United States

Sprachkenntnisse

  • English
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