1. High salary is not universal, and new analysts are also a level of food and clothing. 2. The work is very hard. Needless to say, overtime and business trips, you ca n’t make mistakes, and the pressure is relatively high. 3. The youth rice is not considered, because there are still many opportunities in the industry. Of course, it is too poor to do.
This is not the first time that data analysts have restricted age, the industry is commonly known as “35 -year -old curse”. If you are 35 years old, you still can’t stand out and do grass -roots work, it is likely that you are the object of “optimization” -after all, you are younger, easy to use and cheaper than you. is not only the data analysis industry, but also in other industries. But in the final analysis, it is not age, but strength to eliminate you. Is refer to the answers to practitioners’ more representative data analysis on the Internet, and sorted out the pressure of 35 -year -old data analysis practitioners: . In terms of value: can be replaced . In terms of salary : The old man is not as good as the newcomer Psychological aspect: anxiety, what should I do when I was 30 years old? What to do at the age of 40? What should I do if I can’t manage it? The reason is that due to the advent of the big data era, a large amount of user data is generated. All walks of life need to use data analysis. It also makes more people see the dividends of data analysis. More and more people start to start Slowly switching from various industries, and data analysts should not be in short supply. and Ma Yun mentioned in his previous speeches that “there is no data analyst in ten years after ten years, it is all machines; ten years later, Times Weekly Best CEO of the year is a robot.” In addition, in recent years, the saying of “everyone has been data analysts” has also begun to spread. Some students even suspected that the position of the data analyst was “unstable.” The above is the source of anxiety. Of course, Xiao Ju does not want to sell anxiety, because anxiety comes from crisis, and I always believe that such a sentence: a real crisis comes from doing incorrect things at the right time. No accumulation for the next step at the right time. How do data analysts break the situation and accumulate for the next step? Two aspects —– thinking and practice
What does big data analyst do? Alibaba Group researcher once said, “Big data analysts are a group of people who play data. The commercial value of data to play data makes data become productive forces.” The biggest difference between big data and traditional data is Real -time, large -scale and irregular forms, there is no sealing method to follow, so people who “play” are important. It reported that in the United States, big data analysts have an average annual salary of up to 175,000 US dollars, while the top domestic Internet companies, big data analysts may be 20%to 30%higher than other positions in the same level. And it is valued by enterprises. It is understood that big data analysts are a manifestation of big data market value. Now there are only 100 data analysis companies in China, and there are only two in Chongqing, most of which are in Beijing. The data analysis is increasingly valued. Enterprises have begun to hire talents in terms of data storage, retrieval and analysis. For those who have this skill, the current situation can be described as good. The most fragrant job: Data Analysts (CPDA) will become the hottest occupation in the next five years. It is characterized by a wide range of employment, needs, high salary, stable career, and more older analysis methods, the more experienced, the more experienced. The data analyst is a typical older. The occupation of rice, and this job can be worked at home.
1. High salary is not universal, and new analysts are also a level of food and clothing. 2. The work is very hard. Needless to say, overtime and business trips, you ca n’t make mistakes, and the pressure is relatively high. 3. The youth rice is not considered, because there are still many opportunities in the industry. Of course, it is too poor to do.
This is not the first time that data analysts have restricted age, the industry is commonly known as “35 -year -old curse”. If you are 35 years old, you still can’t stand out and do grass -roots work, it is likely that you are the object of “optimization” -after all, you are younger, easy to use and cheaper than you.
is not only the data analysis industry, but also in other industries. But in the final analysis, it is not age, but strength to eliminate you.
Is refer to the answers to practitioners’ more representative data analysis on the Internet, and sorted out the pressure of 35 -year -old data analysis practitioners:
. In terms of value: can be replaced
. In terms of salary : The old man is not as good as the newcomer
Psychological aspect: anxiety, what should I do when I was 30 years old? What to do at the age of 40? What should I do if I can’t manage it?
The reason is that due to the advent of the big data era, a large amount of user data is generated. All walks of life need to use data analysis. It also makes more people see the dividends of data analysis. More and more people start to start Slowly switching from various industries, and data analysts should not be in short supply.
and Ma Yun mentioned in his previous speeches that “there is no data analyst in ten years after ten years, it is all machines; ten years later, Times Weekly Best CEO of the year is a robot.” In addition, in recent years, the saying of “everyone has been data analysts” has also begun to spread. Some students even suspected that the position of the data analyst was “unstable.”
The above is the source of anxiety. Of course, Xiao Ju does not want to sell anxiety, because anxiety comes from crisis, and I always believe that such a sentence: a real crisis comes from doing incorrect things at the right time. No accumulation for the next step at the right time.
How do data analysts break the situation and accumulate for the next step? Two aspects —– thinking and practice
What does big data analyst do? Alibaba Group researcher once said, “Big data analysts are a group of people who play data. The commercial value of data to play data makes data become productive forces.” The biggest difference between big data and traditional data is Real -time, large -scale and irregular forms, there is no sealing method to follow, so people who “play” are important.
It reported that in the United States, big data analysts have an average annual salary of up to 175,000 US dollars, while the top domestic Internet companies, big data analysts may be 20%to 30%higher than other positions in the same level. And it is valued by enterprises.
It is understood that big data analysts are a manifestation of big data market value. Now there are only 100 data analysis companies in China, and there are only two in Chongqing, most of which are in Beijing.
The data analysis is increasingly valued. Enterprises have begun to hire talents in terms of data storage, retrieval and analysis. For those who have this skill, the current situation can be described as good.
The most fragrant job: Data Analysts (CPDA) will become the hottest occupation in the next five years. It is characterized by a wide range of employment, needs, high salary, stable career, and more older analysis methods, the more experienced, the more experienced. The data analyst is a typical older. The occupation of rice, and this job can be worked at home.