Marketing Business Analyst

4 weeks ago


Charlotte, North Carolina, United States Credit Karma Full time
Job Title: Marketing Business Analyst

At Credit Karma, we're seeking a skilled Marketing Business Analyst to join our Analytics team. As a key member of our team, you'll use your analytical and strategic experience to create data-driven business recommendations that drive key product, marketing, and ecosystem decisions across the Credit Karma platform.

Key Responsibilities:
  • Work with cross-functional partners to optimize the performance of Credit Karma paid marketing
  • Understand the overall Credit Karma marketing ecosystem and help bridge analytics across marketing, product, external environment, and identify opportunities for growth
  • Perform exploratory analysis to generate hypotheses, drive marketing strategy, identify gaps, and size opportunities for new campaigns
  • Conduct analyses and design tests to support new launches, drive improvements to existing features, and inform the product and marketing roadmaps
  • Develop learning agendas and test plans to support agile, data-driven decision-making
  • Partner with engineering and business intelligence to ensure proper tracking instrumentation of new products and tests
  • Support ongoing analysis and monitoring of funnels across the platform
  • Predict revenue impact from changes in pricing, underwriting, approval models, and user behavior
Requirements:
  • 2+ years of analytics experience and BS/MS in Business, Economics, Engineering, Math, or + years of experience with SQL
  • 1+ years of experience with A/B testing and/or knowledge of statistical techniques such as experiment design, significance testing, and causal inference
  • 1+ years of experience with data visualization tools such as Looker/Tableau for insight synthesis and presentation
  • Strong Excel or Google Sheet skills
Preferred Qualifications:
  • Experience in marketing analytics, analyzing campaigns on Google, YouTube, App store, Snapchat, TikTok, etc
  • An understanding of marketing analytics concepts - LTV, CAC, ROAS, ROI
  • Exposure to Python and/or R
  • Experience with software development a huge plus, especially in building automation and predictive models
  • Background in technology and/or financial services is a plus


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