What are the prospects for the data analysis profession?

The prospects for data analysts are very good. The demand for talents is strong, there are many employment opportunities, and they are not easily replaced. Data analysts are responsible for big data mining work, using technologies such as Hive and Hbase, and are professionals who specialize in collecting, sorting, and analyzing industry reports, and making industry research, evaluation, and predictions based on data. Whether in China or overseas, the talent requirements for data analysts are very high. McKinsey predicts that in 2018, there will be tens of thousands of vacancies for big data engineers in foreign countries; if there are talent vacancies in China, there will be millions or even millions.

Data analysts refer to professional technicians in different fields who collect, organize, and analyze professional industry reports, and make industry research, evaluation, and predictions based on data. More and more government departments, institutions and institutions will choose professionals with data analyst qualifications to make scientific, reasonable and effective analysis of their projects to facilitate appropriate decision-making; more and more venture capital funds will use new data analysts to make scientific and effective analyses. The statistical analysis reports provided by project data analysts are an important part of judging whether the project is feasible and suitable for investment; more and more universities and teaching organizations use the data analyst course content as one of the most advanced courses. The main specific content of management and management training programs; more and more people with lofty ideals regard data analyst training programs as the necessary knowledge structure for their career development.

Whether it is in the company or society, data has gradually begun to play an increasingly important "role". Under such circumstances, data analysis and thinking is no longer just the "professional" of data analysts. Front-end positions including sales, marketing, operations, planning, and products all need to be assisted by big data analysis. At work, even the back-end accounting, finance, and human resources departments gradually need to improve efficiency through big data analysis. It can be said that if you work in a company, you will gradually get along with information more and more. At this time, data analysis has become a prerequisite for work.

From the perspective of job salaries, high-paying jobs in the field of data analysis are mainly scattered in the Yangtze River Delta, Pearl River Delta and Beijing-Tianjin-Hebei region. Beijing, Shanghai and Shenzhen rank first in terms of wages, with an average salary of 10k; Hangzhou, Ningbo and Guangzhou rank in the second matrix, with an average salary of 9k; other central cities in coastal areas and inland areas, such as Nanjing, Chongqing, Suzhou, Wuxi, etc. are located in the third matrix, with average salaries around 8k. In terms of the number of jobs, Beijing, Shanghai, Guangzhou and Shenzhen rank in the first matrix with 30,000 jobs. Hangzhou, Chengdu, Nanjing and Tianjin rank in the second matrix with 20,000 jobs. Wuhan Regional core or provincial cities such as Xi'an, Xi'an, and Zhengzhou have correspondingly higher requirements for data statistical analysis positions, with the number of positions reaching 10,000. From the perspective of field requirements, the demand for data analysts in online finance, O2O, data platforms, culture and education, international trade, and culture and art industries is higher than in other industries.