Job Summary

$4,750 - $7,750 SGD / Monthly EST

Job Type


Years of Experience
1-2 years

Tech Stacks

Job Description

  • Design, build, automate & own robust, effective and scalable data analysis for both internal and external stakeholders around our machine learning products
  • Collaborating with data science, technology and product teams to ensure the platform contains the right key data to produce data results requested from the business and clients
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Converting large data sets into meaningful and accurate information to drive actionable insights backed by data
  • Consistently improving the quality and usefulness of data on an ongoing basis

  • 1-2 years of relevant work experience in a quantitative or analytical role, preferably in a high-growth tech startup environment 
  • Degree or experience in statistical analysis, computer science, engineering, mathematics or a related field
  • Strong proficiency in data analysis and statistical analysis tools such as SQL, R and Python. Familiarity with common Machine Learning application knowledge is a plus 
  • Strong analytical and reporting skills. Experience with data visualization tools or platforms such as Tableau, Dashboards, etc considered a plus
  • Strong understanding of product and business metrics
  • Excellent in logical thinking, problem solving and proven familiarity with big data
  • The opportunity to work in a fast-growing, super exciting and innovative business that will revolutionize the e-commerce logistics industry. You will be the needle of success on the growth of a global product that will become a key platform behind successful e-commerce logistics worldwide.
  • The ability to continuously learn and develop in an international setting with you being a critical driver behind the success of us achieving our mission.
  • An environment where everybody never stops growing, and focuses on succeeding - we continuously work with you on your strengths and weaknesses across many important dimensions, and look at ways for you to address them and further your development 
  • Your entry ticket into being part of the Parcel Perform journey, where you will work with and alongside people from around the world that share the same passion and dedication.

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