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

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.

• 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

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.

• 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

• 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…