Data Associate salary in China

Average Yearly Salary of Data Associate in China is approximately 89,256 CNY (11,197 USD). Data is for 2025 and indicates a pre-tax value. The salary itself depends on multiple factors such as seniority, job performance, certifications, experience or any other bonuses. The value indicated is an average amount based on records we have in database. Real values may vary. The data is for orientational purposes.

What does Data Associate do?

A data associate is responsible for collecting, organizing, and analyzing large sets of data to derive meaningful insights and support decision-making processes. They work closely with data scientists, engineers, and other stakeholders to ensure data accuracy, quality, and integrity. Data associates are proficient in using data management tools and software to clean, validate, and transform data into usable formats. They also assist in creating data visualizations and reports to present findings to the team or clients. Attention to detail, strong analytical skills, and the ability to work with complex datasets are essential for this role. Additionally, data associates may be involved in data mining, data entry, and data modeling tasks.

Skills: Data analysis, Data management, Data visualization, Data cleaning, Data mining, Data entry
Job industry: Data analysis

How much does Data Associate make?

Difference in salary year over year or average salary increase is approximately 3 %


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Salary comparison to National average

Is Data Associate a well paid job?

Yes, our data show that Data Associate is an averagely well paid job that still allows for some yearly savings. With years and experience the salary might increase even further, resulting in higher satisfaction.

What is considered a high salary for Data Associate?

High salary for Data Associate would be somewhere between 98,182 CNY and 129,421 CNY. However this is an estimation based on Gaussian Distribution.

How much can you save working as Data Associate in China?

Living in China the approximate monthly expenses are: 514 USD. This amount covers basic needs such as food, housing, clothing, healthcare and education costs for a single person. No luxury expenses such as traveling, leisure, hobbies are included in the estimation.

Estimated Yearly Salary: 89,256 CNY
Estimated Monthly Salary: 7,438 CNY
Estimated Weekly Salary: 1,716 CNY per week
Estimated Hourly Salary: 43 CNY per hour
By working as Data Associate a person can save up to 419 USD per month or 5,029 USD yearly. Values are pre-tax.

NOTE: These values are estimates and are averaged for the whole country. Furthermore the value is likely exaggerated as no other expenses are taken into account in the projection. Unessential expenses are very subjective and are difficult to assess. Most likely the previously estimated number is significantly lower for majority of people. Expenses in different cities across the country may vary. Above values accuracy is low and is based on limited set of data obtained.

For more information regarding expenses in China, see costs of living in China.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Russia, Mongolia, Kazakhstan, Kyrgyzstan, Tajikistan, Afghanistan, Pakistan, India, Nepal, Bhutan, Myanmar (Burma), Laos, Vietnam, North Korea.
To make it easier for comparison a conversion from local currency to USD has been made (conversion rates may vary).

Estimated Yearly Salary for Data Associate

Last revision of data: 2025-01-04

Salary increase per years of experience

Based on data available the salary increase per years of experience is as following

0 years (beginner) equals base salary

1 to 5 years of experience yields +12% salary increase

6 to 10 years of experience yields +25% salary increase

11 to 15 years of experience yields +16% salary increase

16 to 25 years of experience yields +9% salary increase

more than 25 years of experience yields +10% salary increase

NOTE: Details based on limited set of data. Percentages may vary. The salary increase over years of experience can vary widely based on factors such as job industry, job role, location, company size, and individual performance. To gain even larger increase in salary one is advised to switch jobs and / or employer.

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Data as of 2025

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