Responsibilities

  • Bachelor’s degree in a quantitative field (mathematics, computer science, engineering, economics, etc.)
  • Work experience in reporting, data analytics, insight extracting
  • Strong data analytical and problem-solving skills (analyze, interpret, model, insight etc. )
  • Knowledge of statistical concepts and methods
  • Hands-on experience with SQL
  • Strong data visualization skills
  • Hands-on experience with one or more programming languages: Python, R
  • Eager to learn
  • GCP Analytic Environment (DataStudio, BigQuery, etc.)
  • Machine learning methods
  • Clickstream analytics
  • Experience with building interactive visualization and BI platforms (Python, Excel, Tableau/Power BI)

Requirements

  • Graduated in the departments of Economics, Econometrics, Statistics, Computer Engineering, Management Information Systems, Mathematics Engineering (or related) of elite schools.
  • Strong knowledge and high motivation in statistics, machine learning, optimization, economics, algebra, calculus, programming, and digital marketing.
  • Experience in tools such as SQL, Bigquery, Python (Numpy, Pandas, Scikit-Learn, etc), R, Google Analytics, Tableau, SPSS, Excel, etc.
  • Strong analytical thinking ability.
  • High motivation for continuous learning, research, and applying what has been learned.
  • The ability to balance attention to detail with fast execution, including the ability to finish work on tight timelines.

Apply

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