Manager, Data Analysis - People Strategy & Analytics

ITSMF; McLean (VA); Vor Ort; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

Capital One is seeking a Manager, Data Analysis in People Strategy & Analytics to shape talent decisions through data, analytics, and metrics. You’ll partner with HR and senior leaders to evolve analytics frameworks and drive end-to-end data projects.

You will prototype AI tools, create data products, and deliver insights that inform recruiting, development, and workforce programs. A collaborative culture emphasizes learning, innovation, and development.

Qualifikationen

• Bachelor’s Degree in quantitative field and 6+ years data analytics experience or Master’s Degree with 4+ years analytics experience.
• At least 4 years of professional data analysis work.
• At least 4 years of programming experience.

Aufgaben

• Strategic problem solving: identify high impact opportunities to improve HR tools and processes.
• Data strategy: establish direction for new data assets and self-service tools.
• Design: develop AI solutions and data products to automate insights.
• Rapid prototyping: collaborate with clients to design AI-first data solutions.
• Insights & analysis: analyze workforce data and extract actionable insights.

Kenntnisse

Analytical thinking

Communication

Problem solving

Execution

Storytelling / visualization

Ausbildung

Bachelor’s degree in quantitative field + 6 years data analytics experience

Master’s degree + 4 years data analytics experience

Tools

SQL

Python

Tableau

Jobbeschreibung

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