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AppsFlyer PRODUCT DATA ANALYST - MATERNITY LEAVE REPLACEMENT 
Israel, Tel Aviv District 
381986632

21.09.2024

What you’ll do

  • Analyze our huge data sets using statistics and data mining techniques to find and identify future product opportunities
  • Lead and execute continuous data analysis and provide insights throughout AppsFlyer’s product development process
  • Improve our product data modeling and collection procedures
  • Create and maintain visual dashboards to monitor the product
  • Work on several products as part of a multi disciplinary team consisting of product managers, product analysts and customer experience experts
  • Collaborate with various internal and external stakeholders on a regular basis, including customer’s presentations
  • Measure the product by creating impactful data reports from conceptualization, through data extraction, data analysis, and data mining, to the delivery of clear and actionable insights.
  • Serve as a point of contact for the R&D/Product departments on all analytics questions
  • Suggest, lead & implement new ideas & projects to improve our product - you own the data.

What you have

  • At least 3 years of experience as a data analyst in a big data company
  • Proven record of working with “Large” data sets and working with end-users data
  • Excellent SQL skills
  • Experience in ETL processes
  • Excellent skills working with BI tools such as Tableau, Looker, etc.
  • Experience in large strategic projects
  • Product and business orientation
  • Degree in Industrial Engineer, Mathematics, Statistics, Computer Science, or a similar field
  • Ability to simplify complex data and communicate to a range of stakeholders
  • Advanced proficiency in written and spoken English
  • Ability to get things done, from start to end
  • Can-do approach
  • “All-in” attitude – take personal ownership

Bonus Points

  • Experience in Big Query
  • Experience working with AWS
  • Experience with the digital marketing industry
  • Experience with python data analysis packages (Pandas, Numpy)
  • Being introduced by an AppsFlyer team member