Senior Data Analysis Manager, Gtm Analytics - Capital One Software (remote)

Capital One Capital One · Banking · Richmond, VA +1 · Remote

This role is for a Senior Data Analysis Manager focused on Go-To-Market (GTM) analytics within Capital One Software. The primary responsibilities include partnering with GTM stakeholders (Sales, Sales Ops, Customer Success) to identify and address reporting and analysis needs, managing the delivery of these needs, creating dashboards and visualizations, and driving data-driven decision-making. The role requires strong analytical, communication, and people leadership skills, with a focus on supporting B2B SaaS products. It does not involve building or directly working with AI/ML models.

What you'd actually do

  1. Partner with stakeholders across the GTM organization, including Sales, Sales Operations, Solutions Architecture, and Customer Success Leaders to identify and address reporting and analysis needs
  2. Manage and sequence delivery of reporting and data needs, build business requirements and execute against these requirements. Own and drive multiple projects concurrently
  3. Ability to create dashboards and data visualizations that deliver business insights and information at scale
  4. A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation and data driven approach
  5. Ability to collaborate and work with business partners across the enterprise. You should foster innovation, drive critical decisions, hold business partners accountable, and be able to consistently deliver results in a fast growing, matrixed environment

Skills

Required

  • 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 Master's Degree plus at least 5 years of experience performing data analytics
  • 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
  • Strong quantitative orientation and data driven approach
  • Strong Executive Communication Skills
  • Clear Results Orientation

Nice to have

  • 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
  • At least 2 years of experience with B2B SaaS products

What the JD emphasized

  • at least 7 years of experience performing data analytics
  • 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
  • at least 5 years of experience in financial services industry
  • at least 2 years of experience with predictive analytics
  • at least 2 years of experience with B2B SaaS products