Panoramic report on the construction of top data team in 2020 From Tsinghua University & Big Data Digest

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The following is the Panoramic report on the construction of top data team in 2020 From Tsinghua University & Big Data Digest recommended by recordtrend.com. And this article belongs to the classification: big data, research report.

First tier cities and new first tier cities continue to be popular, and algorithm posts have the highest requirements for academic qualifications

At present, in the construction of data team, first tier cities and new first tier cities still maintain a large demand for recruitment.

Shenzhen, Guangzhou, Shanghai, Beijing and Hangzhou have the largest number of jobs under recruitment, followed by Chengdu, Wuhan, Nanjing, Changsha and Suzhou, showing the echelon characteristics of first tier cities – new first tier cities.

In terms of education requirements, more than half of the data industry requires Bachelor’s degree or above, but the requirement for master’s degree is not obvious.

Algorithms, products, data, and development are the four core positions with higher education requirements. The requirements for bachelor’s degree and above are all more than 60%. Among the academic requirements of algorithm posts, the requirements of bachelor’s degree and above are 97%, and the requirements of master’s degree and above are 35%.

The education requirements of network, operation and maintenance positions are obviously low, and the requirements of Bachelor degree and above are not more than 50%. Among them, only 18% of job seekers for network jobs require bachelor’s degree.

The difference of salary and treatment is also obvious in all kinds of positions. The salary level of algorithm post with doctor’s degree is the highest, which is close to 40000 yuan. Software, development, product, data and other positions are also required for master’s or doctor’s positions, and there has been a significant increase in salary. However, there is a phenomenon of salary inversion between undergraduate and master degree posts in network and maintenance positions, which indirectly indicates that the requirements for education level of such positions are not high.

Data visualization skills are becoming popular skills for global data teams

According to LinkedIn data, data analysis skills and data visualization skills are the fastest growing skills among global data talents in the past year. The former growth rate is about 150%, and the latter is also over 100%. Microsoft power Bi has a growth rate of 94% in the past year, which is the first and fastest growing analysis tool in the emerging skills ranking of the global market.

Artificial intelligence, data science and data management skills are also growing rapidly. In the past year, the impact of artificial intelligence and data science on data analysis is relatively large, and the growing amount of data also promotes the rapid development of data management skills.

In the domestic market, the fastest growing skill in the past year was data science, with a growth rate of 175%. Compared with the global level, the domestic demand for data science skills is more vigorous. The demand for other skills is similar to that of the international community as a whole.

Data practitioners are generally optimistic about career and industry development, and career planning is stable

The internal construction and atmosphere building of the data team also have a very important impact on the data practitioners. After investigating the current career satisfaction, we find that more than 40% of the practitioners maintain a very positive attitude towards the current occupation, and about 15% of the practitioners think that the current occupation is not satisfactory.

In addition, the report also discusses the career planning of data team members. According to the survey results, in the five-year plan of practitioners, data talents are more willing to dig deep into the work of data direction, with a willingness of 39%, followed by 15% who want to be promoted to the decision-making level of enterprises. There are also some data talents who prefer to transform into product managers or try to start a business, accounting for about 12%. The proportion of those who want to keep their current jobs unchanged is also about 12%, and only 1% of them are really considering changing jobs.

On the whole, the data team members mainly focus on decision makers and experts in their career planning.

The proportion of data team practitioners with master’s degree in China exceeds the global average, and the number of doctors in the UK is the largest

For the observation of the data team or the data industry, we should not only focus on the domestic, but also the development status of the Global Frontier countries. Based on the data of LinkedIn platform, we have also obtained some trends and trends in the development of the global data industry.

With the development of the data industry in recent years, from a global perspective, the recruitment market shows a high demand for data talents, and the global data practitioners are also growing steadily, with the growth rate of 4.4% in the past year.

In terms of the educational background distribution of global data practitioners, data talents are generally highly educated, with 98.5% having bachelor’s degree or above. Among them, the number of data practitioners with bachelor’s degree is the largest, accounting for 44%, followed by master’s degree holders (36.4%), MBA degree holders (12.1%) and doctor’s degree holders (6%).

Specifically observed in each country, India has the highest proportion of employees with bachelor’s degree or above in LinkedIn station. Almost all data industry employees have bachelor’s degree or above. The data practitioners with the most doctorate degree in the United Kingdom account for 8.3% and the data practitioners with doctoral degree in the United States account for 7.4%.

Compared with the above three countries, the proportion of Chinese master degree practitioners is the most, reaching 51.2%, followed by undergraduate courses, accounting for 41%, but MBA and doctoral degree practitioners are less, 3.6% and 3.1% respectively.

Data talents of various industries are pouring into the Internet, and the loss of data talents in higher education industry is serious

Like other professionals, data talent also flows between different industries. Looking at the top ten industries with the highest concentration of data talents in the world, we find that different industries have different attractiveness indexes for data talents by defining “industry talent attraction index”.

(Note: industry talent attraction index = talents flowing into the designated industry / talents flowing out of the designated industry)

There is no doubt that the Internet industry has maintained a high attraction in the world. In the flow of data talents, most of the data talents from information technology and services, financial services, management consulting, communication and higher education industries flow into the Internet.

In the computer software, banking, hospital and nursing, insurance and Internet industries, data talents flow in from other industries, while the outflow of data talents in higher education is serious. The attraction index of the Internet is the highest, reaching 6.27, followed by financial services, which is 5.20.

The epidemic highlights the value of data, and the business volume of more than 40% of the data teams is increasing instead of decreasing

In the face of the outbreak of the epidemic at the beginning of the year, the data industry has also been affected and affected to a certain extent.

Based on the questionnaire information, more than half of the data practitioners believe that the work of the data team has been affected to varying degrees, and more than 20% of the respondents believe that the epidemic situation has a “great impact” on the work of the data team.

In terms of business volume, more than 40% of the respondents said that the business volume of the data team had increased to varying degrees, of which 3.6% of the data team’s business volume doubled, but still nearly 17% of the data team said that the business volume had decreased significantly.

However, it can be seen that despite the impact of the epidemic, 47% of the data team practitioners believe that the epidemic has little impact on the work of the data team.

Big data digest learned from the questionnaire survey that the epidemic did not have a great impact on the business of data teams in enterprises. Among all the respondents, 17.5% said that their company’s data team had not been affected at all, 29.1% said it had almost no impact, and 23.3% thought it had a greater impact.

In terms of the impact of the epidemic on the business volume, 38.8% of the respondents thought that the business volume of the data team had not changed, and 16.9% of the respondents thought that the business volume of the data team had decreased. 44% of the respondents reported that the business volume of the data team increased, and 3.6% of the respondents doubled the business volume of the data team. We can see that under the impact of the epidemic, the value of big data related business is becoming more and more prominent.

It is not difficult to see that an efficient and pressure resistant data team is not only essential for the company, but also the fresh force for the sustainable and healthy development of the whole society. Overall, the impact of the epidemic on the data team is not entirely negative. Although some enterprises have had layoffs or salary cuts, but also a lot of business volume growth, which shows that the value of data business is gradually highlighted in the epidemic. At the same time, there were some changes in the occupational planning of the interviewees.

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