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We are always searching for talented people who want to make a difference. Join our extended team.

Staff Data Analyst



IT, Data Science
Taipei City, Taiwan
Posted on Friday, July 5, 2024

As a product data analyst, you will be responsible for analyzing our tens of millions of data points and providing actionable insight for product managers and leadership. This insight will help us to create WOW experience for our customers. Product Analytics creates meaningful insights, seeks answers to complex business questions, and enables a better understanding of customer behavior.

This is a rare opportunity to be part of a diverse, growing, and dynamic team with so much upward growth potential. You will be part of an international expansion team where you will get a broad end-to-end view of aggressive expansion of an e-commerce business.

Your roles will entail among others:

  • Collaborate and be a thought partner with/for product managers, designers, program managers, engineers, and other stakeholders to make data-driven decisions.

  • Create and provide new customer experience metrics and insights to ensure the best shopping experience for our customers.

  • Telling your data story to product and business leadership

  • Co-build analytic culture as part of a growing data team

  • Creating analytic products to help with data-driven decision making


  • Expert SQL knowledge, with 7+ years’ work experience in data analytics

  • Experience in providing clear and actionable recommendations by analyzing a vast amount of data

  • Ability to take work into your own hands with a sense of responsibility and exercise judgment to act in fast-paced and dynamic environment

  • Great ability to think critically and solve nonstructural problems

  • Strong communication skills to share analysis results in clear and concise manners

  • Experience with big data tools like Hadoop, Spark, and Presto

  • Experience with BI tools like Tableau, Metabase, Looker, etc.

  • Bachelor’s degree in statistics, computer engineering or any other analytic disciplines


  • Experience with Python and R/SAS, or other statistical packages

  • Experience in working with version control (Git, SVN, etc.)

  • Well diverse in or comfortable with learning new modern data tools

  • Master’s degree in statistics or engineering or equivalent experience

  • Experience analyzing e-commerce and customer behavior logs

  • Strong English skills (both verbal and written) are a plus but not a requirement