Open SourceAIClaudeAnalyticsLeadershipMentoringPrototyping
About this role
Role Overview
Refining and evolving people analytics frameworks and data standards to ensure our analytics, metrics, and insights are accurate, compliant, and scalable.
Planning and executing high-priority data projects, managing end-to-end deliverables for complex talent acquisition, international strategy, and broader PS&A initiatives.
Coaching, mentoring, and upskilling a talented team of PS&A analysts to foster a collaborative culture of technical excellence and professional growth.
Diagnosing complex data integrity and technical pipeline challenges, mitigating systemic workforce data risks while uncovering hidden operational opportunities.
Researching, identifying, and prototyping next-generation AI and automation tools to keep our data and analytics infrastructure at the cutting edge.
Translating complex technical findings and analytics into clear, concise narratives, executive presentations, and data-driven recommendations for senior leadership.
Requirements
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 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
At least 5 years of experience performing professional data analysis work
At least 5 years of experience leading and developing with open source data technologies
At least 2 years of experience managing people
Master’s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field preferred
At least 7 years of experience in statistical or econometrics hands-on work
At least 5 years of experience manipulating and performing analysis with large data sets
At least 5 years of experience in financial services industry
At least 5 years of experience in developing statistical or econometric models
At least 5 years of experience in validating statistical or econometric models
At least 2 years of experience with data governance
At least 2 years of experience with predictive analytics
At least 1 year of experience utilizing AI Platforms like Claude Code
At least 2 years of experience with Human Resources or People Analytics
Tech Stack
Open Source
Benefits
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.