Description
We are seeking a Manager, Data Analysis to join our People Strategy & Analytics team at Capital One. 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.
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
Specific responsibilities include:
- 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
- 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