Senior Manager, Data Analysis - Analytics

Senior Manager, Data Analysis - People Analytics

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 Senior Manager, on the People Strategy and Analytics (PS&A) team, you will head a high-performing team of analysts focused on high-impact talent acquisition initiatives, international strategy, and broad organizational mandates. In this critical role, you will drive data democratization and robust self-service capabilities through advanced reporting and analytics. Serving as a trusted thought partner to senior leadership, you will manage executive stakeholder relationships while leveraging cutting-edge AI and automation frameworks to redefine our HR data capabilities.

With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with an eye on the bottom line and a focus on work/life balance, we've created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential.

On a given day you will be:

• 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.

An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams.

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 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

Preferred Qualifications:

• Master's Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field
• 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

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