Analytics Engineer Data
¥373,387 (CNY)/yr
¥179.51 (CNY)/hr
¥10,679 (CNY)/yr
The average analytics engineer data gross salary in Xi'an, China is ¥373,387 or an equivalent hourly rate of ¥180. This is 1% higher (+¥5,389) than the average analytics engineer data salary in China. In addition, they earn an average bonus of ¥10,679. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Xi'an, China. An entry level analytics engineer data (1-3 years of experience) earns an average salary of ¥267,612. On the other end, a senior level analytics engineer data (8+ years of experience) earns an average salary of ¥430,667.
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¥442,706 (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 Xi'an, China is 4% less 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 PageXi'an is the capital of the Chinese province of Shaanxi. A sub-provincial city on the Guanzhong plain, the city is the third-most populous city in Western China after Chongqing and Chengdu, as well as the most populous city in Northwestern China. Its total population was 12.95 million in the 2020 census, including an urban population of 9.28 million. Xi'an is one of the oldest cities in China. Known as Chang'an throughout much of its history, Xi'an is one of China's Four Great Ancient Capitals,
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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