Capital One
Financial Services
PrincipalDataAnalyst,CardTechWorkforceStrategy
Neural analysis suggests this role is
optimal for Principal candidates.
“Principal Data Analyst, Card Tech Workforce Strategy at Capital One. Skills: Workforce analytics, Automation, Data analysis, Data visualization, Data governance. Drive several high-priority workforce analytics and automation initiatives. Transform high-level strategy into tangible operational impact”
What You'll Achieve.
Drive several high-priority workforce analytics and automation initiatives in the year ahead; Transform high-level strategy into tangible operational impact; Deliver sophisticated analytics for a global footprint of 4,500+ associates; Build the next generation of self-service tools that enable our leadership to move with unmatched precision and speed; Enable self-service frameworks for data consumers; 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; Drive an understanding and adherence to the principles of data quality management; Manage security mechanisms and data access governance; Build and execute tools to monitor and report on data quality
Industry & Context.
Drive analysis that provides meaningful insights on business strategies; Build and execute tools to monitor and report on data quality
What They're Looking For.
Must Have
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, Degree specialized in a Science, Technology, Engineering, Mathematics discipline, Scripting experience in (Python, R, Spark, and SQL), 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
Nice to Have
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, Experience utilizing AppScript, Claude Code, Gemini, and developing within AWS services
What You'll Do.
Drive several high-priority workforce analytics and automation initiatives
Transform high-level strategy into tangible operational impact
Deliver sophisticated analytics for a global footprint of 4
Leverage AI-driven automation with Google Apps Script
and Claude Code to build the next generation of self-service tools
and maintain well-managed data solutions and capabilities to tackle business problems
Use Open Source/Digital technologies to mine complex
and different varieties of data sources and platforms
Build well-managed data solutions
and capabilities to enable self-service frameworks for data consumers
Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
Partner with the business to provide consultancy and translate the business needs to design and develop tools
and dashboards for insights and data visualization
Drive analysis that provides meaningful insights on business strategies
Drive an understanding and adherence to the principles of data quality management including metadata
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
How You'll Work.
Team & Collaboration
Partner with the business to provide consultancy and translate the business needs; Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
Full Job Description
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 busines
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