Manager, Data Analysis - People Strategy & Analytics

Manager, Data Analysis - People Strategy & Analytics 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 background 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. Specific responsibilities include, but are not limited to: 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 Successful Team Members Demonstrate Competencies In These Areas Purpose: You feel a deep personal connection to improving the associate experience and are motivated by applying advanced analytics in a mission-driven way Analytical thinking: A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation. Identify opportunities for improvement and use data to make strategic and tactical recommendations Execution: Develop and test hypotheses, design solutions, assess operational feasibility, support implementation efforts, and develop plans and tools for monitoring outcomes Partnership: Collaborate effectively with other team members and clients in HR Communication: Strong written and oral communication skills, including visualization skills (i.e., able to “tell the story” and highlight key insights in a clear and concise manner that is easily understood by stakeholders) Results focus: Drives for results and achieves important goals applying strong organizational skills and detail orientation, even amidst ambiguity 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 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 Preferred Qualifications: Master’s Degree in a Science, Technology, Engineering, Mathematics discipline At least 7 years of professional data analysis work experience #J-18808-Ljbffr ITSMF