A person working in Data Analysis in Shanghai typically earns around 32,800 CNY per month. Salaries range from 25,600 CNY (lowest average) to 44,800 CNY (highest average, actual maximum salary is higher).
This is the average monthly salary including housing, transport, and other benefits. Salaries vary drastically between different Data Analysis careers. If you are interested in the salary of a particular job, see below for salaries for specific job titles.
|Job Title||Average Salary|
|Business Intelligence Analyst||35,100 CNY|
|Business Systems Analyst||29,700 CNY|
|Data Quality Analyst||31,500 CNY|
|Director of Application Development||47,400 CNY|
|Disaster Recovery Analyst||31,000 CNY|
|Enterprise Infrastructure Architect||42,000 CNY|
|ERP Analyst||34,900 CNY|
|Functional Analyst||34,200 CNY|
|Information Technology Training Analyst||32,200 CNY|
|OPS Manager||43,200 CNY|
|Reporting Analyst||31,100 CNY|
|Salesforce Administrator||31,400 CNY|
|SOA Analyst||30,600 CNY|
|Software Analyst||32,800 CNY|
|Software Architect||32,000 CNY|
|Software Engineer||32,500 CNY|
|Solutions Architect||41,500 CNY|
|Systems Analyst||31,700 CNY|
|Systems Architect||32,600 CNY|
|Technical Analyst||26,700 CNY|
|Technology Business Analyst||32,900 CNY|
Data Analysis salaries in Shanghai range from 25,600 CNY per month (minimum average salary) to 44,800 CNY per month (maximum average salary, actual maximum is higher).
The median salary is 35,400 CNY per month, which means that half (50%) of people working in Data Analysis are earning less than 35,400 CNY while the other half are earning more than 35,400 CNY. The median represents the middle salary value. Generally speaking, you would want to be on the right side of the graph with the group earning more than the median salary.
Closely related to the median are two values: the 25th and the 75th percentiles. Reading from the salary distribution diagram, 25% of people working in Data Analysis are earning less than 27,400 CNY while 75% of them are earning more than 27,400 CNY. Also from the diagram, 75% of people working in Data Analysis are earning less than 43,300 CNY while 25% are earning more than 43,300 CNY.
Both are indicators. If your salary is higher than both of the average and the median then you are doing very well. If your salary is lower than both, then many people are earning more than you and there is plenty of room for improvement. If your wage is between the average and the median, then things can be a bit complicated. We wrote a guide to explain all about the different scenarios. How to compare your salary
The experience level is the most important factor in determining the salary. Naturally the more years of experience the higher the wage.
Generally speaking, employees having experience from two to five years earn on average 32% more than freshers and juniors across all industries and disciplines.
Professionals with experience of more than five years tend to earn on average 36% more than those with five years or less of work experience.
As you hit the ten years mark, the salary increases by 21% and an additional 14% for those who have crossed the 15 years mark.
Those figures are presented as guidelines only. The numbers become more significant if you consider one job title at a time.
Though gender should not have an effect on pay, in reality, it does. So who gets paid more: men or women? Male employees in China who work in Data Analysis earn 13% more than their female counterparts on average.
Data Analysis professionals in China are likely to observe a salary increase of approximately 12% every 15 months. The national average annual increment for all professions combined is 9% granted to employees every 15 months.
The term 'Annual Salary Increase' usually refers to the increase in 12 calendar month period, but because it is rarely that people get their salaries reviewed exactly on the one year mark, it is more meaningful to know the frequency and the rate at the time of the increase.
The annual salary Increase in a calendar year (12 months) can be easily calculated as follows: Annual Salary Increase = Increase Rate x 12 ÷ Increase Frequency
Listed above are the average annual increase rates for each industry in China for the year 2021. Companies within thriving industries tend to provide higher and more frequent raises. Exceptions do exist, but generally speaking, the situation of any company is closely related to the economic situation in the country or region. These figures tend to change frequently.
Data Analysis is considered to be a moderate bonus-based field due to the generally limited involvement in direct revenue generation, with exceptions of course. The people who get the highest bonuses are usually somehow involved in the revenue generation cycle.
42% of surveyed staff in Data Analysis reported that they haven't received any bonuses or incentives in the previous year while 58% said that they received at least one form of monetary bonus.
Those who got bonuses reported rates ranging from 2% to 7% of their annual salary.
The most standard form of bonus where the employee is awarded based on their exceptional performance.Company Performance Bonuses
Occasionally, some companies like to celebrate excess earnings and profits with their staff collectively in the form of bonuses that are granted to everyone. The amount of the bonus will probably be different from person to person depending on their role within the organization.Goal-Based Bonuses
Granted upon achieving an important goal or milestone.Holiday / End of Year Bonuses
These types of bonuses are given without a reason and usually resemble an appreciation token.
People tend to confuse bonuses with commissions. A commission is a prefixed rate at which someone gets paid for items sold or deals completed while a bonus is in most cases arbitrary and unplanned.
The main two types of jobs
|Revenue Generators||Supporting Cast|
Employees that are directly involved in generating revenue or profit for the organization. Their field of expertise usually matches the type of business.
Employees that support and facilitate the work of revenue generators. Their expertise is usually different from that of the core business operations.
Revenue generators usually get more and higher bonuses, higher salaries, and more frequent salary increments. The reason is quite simple: it is easier to quantify your value to the company in monetary terms when you participate in revenue generation.
Top management personnel and senior employees naturally exhibit higher bonus rates and frequencies than juniors. This is very predictable due to the inherent responsibilities of being higher in the hierarchy. People in top positions can easily get double or triple bonus rates than employees down the pyramid.
The hourly wage is the salary paid in one worked hour. Usually jobs are classified into two categories: salaried jobs and hourly jobs. Salaried jobs pay a fix amount regardless of the hours worked. Hourly jobs pay per worked hour. To convert salary into hourly wage the above formula is used (assuming 5 working days in a week and 8 working hours per day which is the standard for most jobs). The hourly wage calculation may differ slightly depending on the worked hours per week and the annual vacation allowance. The figures mentioned above are good approximations and are considered to be the standard. One major difference between salaried employees and hourly paid employees is overtime eligibility. Salaried employees are usually exempt from overtime as opposed to hourly paid staff.
The average salary for Data Analysis is 3% more than that of Information Technology. Also, Information Technology salaries are 0% more than those of All Jobs.
Where can you get paid more, working for a private company or for the government? Public sector employees in China earn 6% more than their private sector counterparts on average across all sectors.