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Dropbox // cloud storage
San Francisco, CA; Remote - US    Posted: Wednesday, November 18, 2020
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Role Description

We're looking for a Growth Analyst to partner with revenue, marketing, & product teams to answer key questions about how to grow revenue, scale & monetize the business, & launch high-impact initiatives. We tackle exciting problems & boost business growth through a deep understanding of user behaviors with applied analytics techniques & business insights. An ideal candidate should have robust knowledge of consumer lifecycle & behavior analysis, customer segmentation, digital campaigns, monetization analytics & business operations for a SaaS company.


  • You will develop a deep understanding of customer journey phases & key business metrics
  • You will perform analytical deep-dives to analyze problems & opportunities, identify the hypothesis & design & execute experiments
  • You will inform future experimentation design & roadmaps by performing exploratory analysis to understand user engagement behavior & derive insights
  • You will build personalized segmentation strategies using propensity models to enable targeting of offers & experiences based on user attributes
  • You will identify key trends & build executive-facing dashboards to track the progress of acquisition, monetization, & engagement trends.
  • You will extract meaningful insights through analyzing large, complex, multi-dimensional customer behavior data sets
  • You will translate complex concepts into implications for the business via excellent communication skills, both verbal & written
  • You will understand what matters most & prioritize ruthlessly
  • You will work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, & senior executives) to rapidly execute & iterate


  • Bachelors or above in quantitative field: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
  • 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
  • Proven track record of being able to work independently & proactively engage with business partners with minimal direction
  • Significant experience with SQL & large unstructured datasets such as Hadoop
  • Proficiency in programming/scripting & knowledge of statistical packages like R or Python is a plus
  • Deep understanding of statistical analysis, experimentation design, & common analytical techniques like regression, decision trees
  • Strong verbal & written communication skills

Benefits & Perks

  • 100% company paid individual medical, dental, & vision insurance coverage
  • 401k + company match
  • Market competitive total compensation package
  • Free Dropbox space for your friends & family
  • Wellness Reimbursement
  • Generous vacation policy
  • 10 company paid holidays
  • Volunteer time off
  • Company sponsored tech talks (technology & other relevant professional topics)
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