Analytics Engineer Data
¥313,376 (CNY)/yr
¥150.66 (CNY)/hr
¥8,963 (CNY)/yr
The average analytics engineer data gross salary in Changchun, China is ¥313,376 or an equivalent hourly rate of ¥151. This is 15% lower (-¥54,242) than the average analytics engineer data salary in China. In addition, they earn an average bonus of ¥8,963. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Changchun, China. An entry level analytics engineer data (1-3 years of experience) earns an average salary of ¥224,601. On the other end, a senior level analytics engineer data (8+ years of experience) earns an average salary of ¥361,449.
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¥371,553 (CNY)
19 %
Based on our compensation data, the estimated salary potential for Analytics Engineer Data will increase 19 % over 5 years.
This chart displays the highest level of education for:
Analytics Engineer Data, the majority at 100% with bachelors.
Typical Field of Study: Data Modeling/Warehousing and Database Administration
See how education can impact your salaryThe cost of living in Changchun, China is 9% more than the average cost of living in China. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageChangchun is the capital and largest city of Jilin Province, China, on the Songliao Plain. Changchun is administered as a sub-provincial city, comprising seven districts, one county and three county-level cities. At the 2020 census of China, Changchun had a population of 9,066,906. Changchun's metro area, comprising five districts and one development area, had a population of 5,019,477. Shuangyang and Jiutai districts are not urbanized yet. It is one of the biggest cities in Northeast China, al
Sourced from WikipediaERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
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