Data Assistant salary in China

Average Yearly Salary of Data Assistant in China is approximately 63,656 CNY (7,969 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 Assistant do?

A data assistant is responsible for assisting in the collection, organization, and analysis of data within an organization. They work closely with data analysts and other team members to ensure accurate and reliable data is available for decision-making purposes. Their tasks may include data entry, data cleaning and validation, data visualization, and generating reports. Data assistants may also assist in data mining and data modeling activities, as well as maintaining databases and data management systems. They need to have strong attention to detail, excellent organizational skills, and proficiency in data analysis tools and software. Effective communication and problem-solving abilities are also important in this role.

Skills: data assistant, data analysis, data entry, data cleaning, data visualization, database management
Job industry: Data analysis

How much does Data Assistant 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 Assistant a well paid job?

No, our data shows that Data Assistant is typically not a well-paid job. The salary varies based on experience. Meaning that even though Data Assistant might be a low paying job, with experience the salary might increase to satisfactory levels.

What is considered a high salary for Data Assistant?

High salary for Data Assistant would be somewhere between 70,022 CNY and 92,301 CNY. However this is an estimation based on Gaussian Distribution.

How much can you save working as Data Assistant 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: 63,656 CNY
Estimated Monthly Salary: 5,305 CNY
Estimated Weekly Salary: 1,224 CNY per week
Estimated Hourly Salary: 31 CNY per hour
By working as Data Assistant a person can save up to 150 USD per month or 1,801 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 Assistant

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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