Manager, Data Analysis - People Strategy & Analytics

Capital One • McLean, VA

16h • Hybrid

About The Position

People Strategy & Analytics brings data, analytics, and insights to shape critical talent decisions and strategy at Capital One. We work closely with HR partners and senior executives in shaping talent policy, automating real-time data, and improving talent decision-making. The team is composed of people with diverse skills and backgrounds including: data analysts, data scientists, business analysts, project managers, and Industrial Organizational Psychologists. As a Manager Data Analyst, you will apply your strategic and analytical skills to solve open-ended, complex questions about how we should attract, develop, and retain top talent. You will team up with world-class professionals and senior leadership and work on impactful projects. Your day-to-day might involve: 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 Researching, identifying, and prototyping next-generation AI and automation tools to keep our data and analytics infrastructure at the cutting edge Developing analyses and tools to help Capital One recruit, retain, and develop the best talent Designing new frameworks for evaluating the success of workforce programs …and you will do it all in a collaborative environment that promotes continuous learning, rewards innovation, and prioritizes your development.

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 6 years of experience performing data analytics, or Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
• At least 4 years of experience performing professional data analysis work
• At least 4 years of experience performing programming

Nice To Haves

• Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
• At least 7 years of professional data analysis work experience
• At least 4 years of experience with Python, R, Spark or SQL
• At least 1 year of experience in people management
• At least 1 years of project management experience
• At least 1 year of experience in Tableau
• Proficient utilizing and developing within AWS service
• At least 2 years of experience building dashboards and self-service data tools for business stakeholders

Responsibilities

• Strategic problem solving: Identify high impact opportunities to transform the associate experience, conduct analysis, and improve HR tools and processes
• Data strategy: Establish direction for structure and use of new data assets, creating data features and self-service tools
• Design: Develop AI solutions and data products to automate insights
• Rapid prototyping: Partner with clients to design innovative, AI-first data solutions and tools for workforce priorities
• Insights & analysis: Analyze internal and external workforce data and extract insights to help our clients make data-driven, informed decisions

Benefits

• comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
• performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

What This Job Offers

• Job Type: Full-time
• Career Level: Manager