VP, Analytics

Credit Karma is working to make financial progress possible for everyone. Data and analytics play a pivotal role in this mission and every part of our business – informing new product design, driving marketing efficiency, and powering the recommendations we personalize to each of our 60 million members. We’re looking for a quantitative leader to lead analytics teams that perform the research and analysis that informs corporate-level decision-making. You’ll work with executive leadership across the organization and get visibility into Credit Karma’s core strategies. If that sounds exciting to you, keep reading!

What you'll do:

  • Use analytic insights to drive real value for our members
  • Build an new analytics function focused on supporting the product and engineering teams
  • Create an analytics culture of excellence
  • Design, support, and drive on-going strategies that lead to compelling corporate growth opportunities, then translate those strategies into targeted actions and programs
  • Own a strategic agenda that and present findings regularly to the leadership team
  • Pressure test everything to help Credit Karma better understand short and long-term consumer behavior with different products and services, adjusting strategy as needed to create the best possible experience for our member

What's great about it:

  • You’ll get visibility into Credit Karma’s core strategies and build a new and highly influential team
  • Work with a leadership that has experience with and understands the value of analysis
  • The work you do will have a tremendous impact on company-wide strategy, business initiatives, and growth
  • This role is highly cross-functional, meaning you’ll work with teams from finance, product, marketing, business development, and data science

What we expect:

  • At least 10 years of highly quantitative experience turning data into business insights
  • Strong leader who has built and mentored high-performing analytics teams
  • Excellent academic background in a mathematics/statistics or science-related field; MBA preferred
  • Experience with support product teams in a consumer tech industry
  • Financial services or technology experience a strong plus
  • Experience with strategy projects and analysis of very large, complex sets of data


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