Client Services Product Data Analyst

As a product data analyst, you support new feature launches with data research and empower GCS (Global Client Services) teams with product analytics. You'll also support the Customer Success teams in ensuring that they have all the tools and resources to execute in a manner that enables quality at speed.

As a data analyst in our GTM Data Analytics Group, you will work in a framework where analysts are unified under one professional structure while remaining connected to the functional departments. This design is shaped to enhance decision-making, collaboration, and drive more value for our customers & partners at scale

This is a unique opportunity to handle all of AppsFlyer’s products and new features and develop yourself as an expert in the bits and bytes of AppsFlyer’s system while gaining experience in business & strategy.

What You'll Do

• Drive analytics projects end-to-end in partnership with teams from product, engineering and across the analytics community to inform, influence, support, execute and drive the strategy based on data.
• Structure and solve problems with analytic skills (e.g., investigation, modeling, mapping, and gap analysis) and techniques (e.g., trend analysis, forecasting, and experimental design)
• Build and maintain insightful dashboards to support product strategy using SQL & business mindsets.Analyze and explore new & complex databases heads up
• Identify the opportunities most important for growth, and remove barriers for product adoption, retention and engagement.
• Demonstrate operational excellence in analytical thinking, process development and improvement, problem-solving, communication, organization, and planning that will drive customer success efficiency and customer satisfaction.
• Help build ETLs in order to make the team’s work more sufficient
  
  

• +2 years of work experience as a Product / Data / Business analyst in a SaaS company
• High proficiency in SQL & Excel
• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Industrial Engineering, Economics & Finance. Etc.
• Excellent verbal and written communication skills - clear and articulate communicator in English- Presentation level
• Strong analytical skills set, business-oriented thinking with the ability to collect, organize, and analyze significant amounts of data with attention to details and accuracy
  
  

• Python / DBT - advantage
• Experience in developing ML models - advantage
• Relevant Master's degree
• Being introduced by an AppsFlyer team member