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What is the average salary of a big data analyst who just finished learning?
Generally speaking, the salary of data analysts is in the range of 8k-30k, and most of them are in the range of 8k-20k.
Second, what is the wage distribution in different cities? After investigation, it is found that in several cities with large demand, such as Beijing, Shanghai, Shenzhen, Hangzhou and other places, the overall salary level in Beijing is at a high level, with a figure of about 20 K-ranking first in the country; Followed by Shanghai and Hangzhou. For Shenzhen, the average is higher and the median is lower. It can be found that the overall salary level of data analysts is still quite high, widely distributed within 9k and 20k.
The third aspect is how the salary of data analysts changes with education and experience. At present, there is no requirement for doctoral degree in data analysis industry, and most of them require bachelor degree or above. It can be seen that a bachelor's degree is the basic condition for entering this industry. Junior college is also acceptable, but in the case of little difference in ability, people will still choose high education, and master's degree or above is very competitive for job seekers. The requirement for data analysts is 1 to 3 years, 3 to 5 years is more, and 5 to 10 years is less. Data analysts can be said to be the wealth of a company. Generally speaking, the higher the education and experience of data analysts, the higher the salary, ranging from 20k to 30 K.
As can be seen from the above, the salary level of data analysts is mainly determined by geography, education and experience. From the above, it is not difficult to find that the salary of data analysts is very objective. If you want to enter the data analysis industry, you must study hard.
If you want to apply for the certificate of data analyst, you can go to CDA certification center to find out. CDA certification is committed to building a global industry standard for data talent evaluation and promoting the development of global digital talents. Including the development and integration of cutting-edge technologies and high-quality resources in the field of international data science; Formulate and improve the talent standards and professional ethics of the data science industry; Compile and establish professional teaching material system and question bank; Organize the implementation of proposition examination, talent evaluation and examination services; Manage members and provide industry consulting services.
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