1, the talent gap is large, the IT era is gradually replaced by the DT era, and rational data analysis has become the mainstream instead of manual experience analysis. Data analysis talent supply index is only 0.05, which is highly scarce.

2. Getting started is relatively simple. Data analysis is an interdisciplinary technology and does not require a strong background in science and engineering. On the contrary, people with marketing, finance, finance or retail backgrounds are more open-minded in analytical thinking.

3. The salary of big data analysis positions is high, and the average monthly salary of 1-2 years of work experience can reach the level of 13k. Post salary is positively related to experience, and the older you are, the more valuable you are.

4. Strong industry adaptability. Almost all industries will apply data. Data analysts can not only be employed by Internet IT industry, but also serve banking, retail, medicine, manufacturing, transportation and other industries.

5, long career data analysis Once you master your career, you can get long-term benefits in the workplace. Mastering this emerging technology will be of great use, and it will be less affected by other external businesses and its position will be relatively stable.