Responsibilities:
Analyze large and rich datasets; drive insights from data to diagnose the root cause behind trends and ultimately improve our user experience.
Design and create metrics to measure customer engagement with products (flows, pages, features, etc.) and product health.
Develop, improve and systemize crisp & accurate reporting. Streamline processes and identify/execute on automation and time-saving opportunities.
Requirements:
BA/BS in Statistics, Computer Science, or other related field.
Sound business judgment and quantitative analytic ability.
Be able to communicate in English clearly and effectively.
At least 2 years hands-on work experience in data analytics or data science, with a focus on product analytics.
Strong SQL programming with multi-year hands-on experience;
Experience in at least one programming language (eg. R, Python, Hive, Java, Scala/Spark or Perl etc).
Experience in visualization tools (eg. Tableau, R shiny etc).
Good Excel and PowerPoint skills, knowledge of large scale MPP database architecture or proficiency with R or Python is a plus.
Effective team
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