Manager, Data Analysis, Field Strategy - Business Cards & Payments (BC&P)

Manager, Data Analysis, Field Strategy - Business Cards & Payments (BC&P) 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 Fortune200 company and a leader in the world of data‑driven decision‑making. About the Team As a Data Analysis Manager in Capital One’s Business Cards & Payments (BC&P) Field Strategy team, you will serve as the technical architect behind our field sales data ecosystem. You will lead the team responsible for the “how” by building the robust data foundations that allow us to scale our national sales organization with precision. You’ll collaborate with partners across product, marketing, and IT to transform raw data into a world‑class infrastructure, fostering an environment where technical innovation meets strategic execution to drive our field performance to new heights. In this role, you will hold end-to-end accountability for our Field data infrastructure, specifically overseeing the data logic behind incentive engines and the tracking of upper‑funnel lead health. You will be responsible for modernizing BAU reporting through automation, moving the organization away from manual data pulls toward real‑time, interactive dashboards that empower our Relationship Managers. By bridging the gap between technical data engineering and executive strategy, you will ensure that our reporting is not only accurate and scalable but also acts as the primary catalyst for smarter, high‑conversion business decisions across the entire funnel. What you’ll do 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 On any given day you will be 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 testsExtracting 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 An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast‑paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply. Basic Qualifications 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 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 4 years of experience coding in Python, R, Spark, or SQL At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc. At least 2 years of experience utilizing and developing within AWS services At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. This role is Hyb