1, need to have a background in applied mathematics, statistics, quantitative economics, undergraduate or engineering master's level mathematical knowledge.

2, proficiency in at least one of SPSS, STATISTIC, Eviews, SAS and other data analysis software.

3, at least able to use Acess and other database development;

4, at least one math software: matalab, mathmatics for the construction of new models.

5, at least one programming language;

6, of course, other application areas, such as marketing, economic statistics, etc., because this is the main application area of data analysis.