Data Analysis Manager- Marketing and Messaging Operations

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.

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
• Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers
• 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
• 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 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 currently has, or is in the process of obtaining a 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

Nice-to-haves

• 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

Benefits

• Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
• Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)