1, the theoretical knowledge should be broad, involving math, market and technology. Requirements and sensitivity to data, including statistical knowledge, market research, modeling principles.

2, the use of conventional analytical tools, including databases, data mining, statistical analysis tools, common office software (Excel, PPT, mind mapping) and so on.

3, have a certain degree of business understanding, can understand the business logic behind the business. Because only understand the business problem, can be converted into data analysis of the problem, so as to meet the requirements of the department.

4, the ability of data reporting and data visualization. Data analysis is good, if you can not "express" in a beautiful way, the effectiveness will be greatly reduced.

You need to have the ability to logically analyze, especially the data analysis and understanding.

The four steps of data analysis: data acquisition, data processing, data analysis, data presentation.