Senior Manager, Data Analyst - Product Analytics
About The Position
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. The Enterprise Data team is focused on maximizing the value of our data ecosystem and enabling real-time, intelligent experiences built on a scalable, future ready foundation. We are a highly collaborative, cross-functional team working across Product, Technology, Design, Risk, and other partners to build a modern enterprise data ecosystem. We are looking for an exceptional and innovative Sr. Manager, Data Analytics to solve complex business and product challenges across our Enterprise Data Product teams. You will lead Product Analytics to measure and improve the performance and health of our Products and Platforms, transforming complex data into actionable, AI-enabled insights that shape product strategy and drive better decisions. If you are a strategic thinker who thrives on solving complex problems and using Data and AI to influence product development, this is an opportunity to make a meaningful impact.
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 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
Nice To Haves
- 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
Responsibilities
- Refining a new Enterprise-wide analytical tools validation framework
- Planning and executing validation projects
- Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes
- Understanding technical issues in analytical tools and assessing tools risks and opportunities
- Independently researching, identifying, and prototyping industry best practices for emerging analytical tools
- Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations
- Leveraging education, colleagues and training opportunities to develop solutions to business problems
- Coaching and mentoring junior staff
Benefits
- This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
- Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
