Description
Capital One is seeking a highly analytical Manager, Data Analysis to join our Data Strategy team. As a Manager, Data Analysis, you will help build the framework and manipulate/analyze large datasets to understand PULSE transaction anomalies and risk exposure.
This is a hybrid role designed for someone who speaks the language of machine learning, data architecture, and modeling, but also deeply understands regulatory frameworks, risk controls, and compliance mandates.
You will be responsible for ensuring that our data-driven strategies are not only highly effective and scalable, but also ethical, explainable, and strictly compliant with industry regulations.
Responsibilities:
- Drive current and future strategy by leveraging your analytical skills
- Assist with building and using models to test and validate data
- Work with vast amounts of data in new and evolving environments
- Be a part of growing and developing our brand in new and emerging markets
- Leverage analytics to create a customer experience above our peers
- Be a part of the full life cycle of projects and see end results
- Collaborate across business units
- Work with top talent in a fast-paced, entrepreneurial environment where analytics and good data are a top priority
- Experience real work-life balance, with little travel involved
Day-to-Day Responsibilities:
- Mining data to arrive at specific and crucial information for the organization
- Identifying and implementing process, data, and reporting improvements for the organization
- Working with large and complex databases containing millions to billions of records
- Improving operational efficiencies and effectiveness
- Conducting analysis to evaluate processes and tests
- Extracting and analyzing data to gauge product offerings
- Consulting on the design and implementation of new production and data storage systems
- Developing and implementing strategic tests of products, initiatives, and marketing materials
Requirements:
- Currently has, or is in the process of obtaining a:
- Bachelor’s Degree in a 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 the 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 year of project management experience
- At least 1 year of experience in Tableau
- Proficient utilizing and developing within AWS service