Today, the last part of BOSS direct employment job analysis, with different enterprises as the entry point, see in the recruitment of enterprises, which is the “big fish” in the market, have an idea don’t miss!

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National data collection

First, let’s take a look at the summary of recruitment data in nine cities

Data aggregation

All file data is first read and then combined using the concat function

beijing = pd.read_csv("beijing_data.csv")
shanghai = pd.read_csv("shanghai_data.csv")
shenzhen = pd.read_csv("shenzhen_data.csv")
guangzhou = pd.read_csv("guangzhou_data.csv")
hangzhou = pd.read_csv("hangzhou_data.csv")
nanjing = pd.read_csv("nanjing_data.csv")
wuhan = pd.read_csv("wuhan_data.csv")
xian = pd.read_csv("xian_data.csv")
chengdu = pd.read_csv("chengdu_data.csv")

all_data = pd.concat([beijing, shanghai, shenzhen, guangzhou, hangzhou, nanjing, wuhan, xian, chengdu], ignore_index=True)
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Calculate average salary

Due to grasp the salary is a range of values, so the need for simple processing, find out the average salary of each position

import re

rege = r'(\d+)-(\d+)K'
def get_num(mystr):
    res = re.match(rege, mystr)
    result = (int(res.group(1)) + int(res.group(2))) /2
    return int(result)

all_data['avg_salary'] = all_data['salary'].apply(get_num)
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Recruitment average salary ranking

Let’s take a look at the top 10 employers in the country

As can be seen from the above statistics, most enterprises only have one position in the recruitment process, and the salary offered is quite attractive. \

Huize Information Group, which ranks the first, seems to be a new enterprise. From the average salary, the salaries of the three positions in recruitment should be very high, so it seems to be a company with great potential.

Ranking by number of job openings

Let’s take a look at the number of jobs that companies are hiring nationwide

For the top two on the list, no more to say, know all understand! \

The rest of the list is filled with real companies, with VIVO the most eye-catching, with 58 positions open and an average salary of 38K+.

At the same time, Alibaba Group and Ant Financial, as the holy land of The Internet in China, are the top in both job recruitment and salary treatment in China.

Tencent, BOSS direct hire salary is also very good. As for JINGdong and Huawei, it seems to be somewhat behind, but I don’t know about Jingdong, huawei’s year-end bonus is well-known in the industry, and it is said that senior employees don’t look up to that point of salary.

Now let’s expand the list to the top 20. For effect, I’ve removed the top two, not because I’m too cruel, but because I can’t bear it!

Look at the list, basically includes all the famous factories in China, and not only in the recruitment of many positions, to the salary is also very competitive, rich and capriciously ah.

Distribution of high-paying jobs

Let’s take a look at the distribution of the types of jobs in the top 30

It can be seen that the recent fire data analysis positions occupy nearly half of the proportion, it seems that the popularity of this position is strongly supported by its salary. \

The number of Java and product manager positions is about the same, and the most pathetic position is Python, which is the most popular in the world, but the real high paying positions are few and far between. Is it because it is easy to learn, so it is easier to recruit?

Then let’s compare the overall number of posts and the average salary of these four positions. Although the average salary seems to be uniform, it can reflect the salary gap between different positions to some extent

As you can see, Java still has the highest average salary and the most job openings, so becoming a qualified Java engineer is still the best choice? \

The overall average salary of data analysis positions is actually the lowest, but it is still close to 15K, which indicates that the polarization between senior data analysis experts and low-level data analysts is getting further and further.

Ok, temporarily so much for the national post analysis, data of different cities to take a look at below case, as in the previous article said, today’s China the Internet is no longer a “connect” north, and should be changed to “north hangzhou”, then I also extracted the data of the four city, under the simple analysis.

The average salary of the big four

Again, let’s take a look at the four cities with the highest average hiring salaries

Average Salary ranking

Beijing

Shanghai \

Shenzhen \

Hangzhou \

Can be seen from the above statistics list, most of the listed company because of a few were hiring position of the salary range, high on the list, so it’s hard to see some such as ali, tencent and other super giant, because their hiring many, through the calculation of average wages, naturally lose the list.

However, VIVO company in Shenzhen is absolutely the king of existence, 37 in the recruitment, the average salary can reach 40K+, I just want to ask, which VIVO work, for introduction, for hook up!

Top four earners

Let’s take a look at the top 10 highest-paying jobs in these four cities: Beijing

Shanghai \

Shenzhen \

Hangzhou \

As you can see, the high paying jobs are largely dominated by advanced Java and advanced data analytics, which can be a bit bleak for product managers and Python engineers. \

And for the enterprises on the list, the list is undoubtedly the most VIVO, especially in its base in Shenzhen, VIVO’s high-paying jobs basically accounted for half of the country. What’s the problem?

The second most listed enterprise is Ali Group, whether it is Beijing, Shanghai or Hangzhou, there are Ali high-paying jobs, have to say, the program ape in big cities is high happiness index!

The big four pay distribution

Better yet, let’s look at the distribution of high-paying jobs

Beijing

Shanghai \

Shenzhen \

Hangzhou \

In a word, Java in Beijing, product manager in Shenzhen, data analysis in Hangzhou, Python everywhere!

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