Is it hard to find a big data job?

The scope of the big data industry is still relatively wide, and data analysis is divided into two directions:

1. Data development direction.

Partial technology, including development engineers, mining engineers, algorithm engineers, and data warehouse engineers, these relative thresholds are a bit high, and the requirements for academic qualifications, majors, and graduation schools are relatively high.

Second, the direction of analysis.

Partial business is to discover business problems through data, gain insight into industry opportunities, and drive the development of enterprises through the value generated by data, which is also the most needed talent for the digital transformation of enterprises, which has low requirements for programming ability.

Now let's talk about the data analyst in the direction of business analysis, the data analyst position is relatively special, and it cannot be learned in fragments. In China, data analyst is an emerging industry, and the major related to this industry may be the big data major, which was only set up in colleges and universities in 2016, and the first batch of fresh graduates just graduated last year, but they are also more proficient in the use of python and sql and tools, but they don't know anything about business, but enterprises don't need to be very proficient in knocking, if they need programming skills to be particularly strong, then people can recruit a few programmers, right? Why do you need a data analyst?

Therefore, the most important thing for a data analyst is not the ability to use this kind of ** and tools, but a business ability.

In terms of industry trends, the industry of big data and data analysts is a very good direction, because now I don't need to say anything, everyone should have heard of artificial intelligence, AI or something, and this direction is developing very fast, then there will definitely be a place for us.

Enterprises are undergoing digital transformation, and the development of enterprises is driven by data, and data analysis determines corporate strategy. Data analysis is widely used, such as e-commerce industry, medical and health care and life sciences, insurance, e-commerce, Internet industry, financial industry, etc., at least 10 million vacancies in China, many people are changing careers to engage in data analysis, many data operations, data processing, reports and other related work students are turning to data analysts.

Big data jobs are a hot industry. It's easy to find, like 丨t, **, Internet, etc. have big data jobs.

With the extension and development of big data to various vertical fields, the demand for talents majoring in statistics and mathematics, data analysis, data mining, artificial intelligence and other software fields will increase, and the salary level of employees in the field of big data will continue to grow, and the supply of talents will exceed demand.

Big data employment direction.

1. Big data development direction. The professional positions involved are: big data engineer, big data maintenance engineer, big data R&D engineer, big data architect, etc.;

2. Data mining, data analysis and machine learning. The professional positions involved are: big data analyst, big data senior engineer, big data analyst expert, big data miner, big data algorithm, etc.;

3. Big data operation and maintenance and cloud computing. Corresponding position: big data operation and maintenance engineer;

Among the three directions, big data development is the foundation. Taking Hadoop development engineers as an example, the monthly salary of Hadoop entry has reached more than 8K, the monthly salary of working for 1 year can reach more than 300,000, and the annual salary of Hadoop talents with 2-3 years of work experience can reach 300,000-500,000. Judging from the employment situation of graduate students in the direction of big data in the past two years, there are still many jobs in the field of big data, especially the big data development positions, which are gradually covering from the development of big data platforms to the field of big data application development, which is also the inevitable result of the comprehensive application of big data.

Judging from the recruitment situation in recent years, the number of big data development positions is obviously relatively large, and not only R&D talents are needed, but also application-oriented talents, so there are more employment opportunities for undergraduates.

At present, big data technology is in the early stage of application, so at this time, talent recruitment will be more inclined to research and development talents, and it is easier to obtain employment opportunities in large factories with graduate degrees, after graduate school, you can focus on the development of big data platform in job selection, driven by 5G communication, the future cloud computing will fully cover the field of PaaS and SaaS, and this process will fully promote the development of big data platform.

In addition, due to the successive launch of artificial intelligence platforms, it is also a kind of promotion for big data platforms. Compared with big data application development positions, big data platform development positions not only have higher salaries and longer career life cycles, but also can get more development opportunities in the future, and it will be easier to enter cloud computing, artificial intelligence and other fields.

There are still many employment directions of big data, such as the Internet, Internet of Things, artificial intelligence, finance, sports, education, transportation, logistics, e-commerce, etc., almost all industries have been involved in big data, and big data will become the support of the entire society and enterprise operations in the future. Let's take a look!

The direction of employment after big data.

1.Hadoop big data development.

The market demand is strong, the main body of big data training, and the current focus of IT training institutions.

Corresponding positions: big data development engineer, crawler engineer, data analyst, etc.

2.Data Mining, Data Analysis & Machine Learning.

The starting point of learning is high and difficult, and there are only a few training institutions on the market to do it.

Corresponding positions: data scientist, data mining engineer, machine learning engineer, etc.

3.Big data operation and maintenance & cloud computing.

The market demand is medium, and it is more inclined to Linux and cloud computing disciplines.

Corresponding position: big data operation and maintenance engineer;

At present, the trend of big data has gradually moved from concept to implementation, and in the transformation of IT people to follow the wave of big data, the demand for high-end big data talents in major enterprises is becoming more and more urgent. This trend also provides rare career opportunities for those who want to work in big data.

Big Data Career Prospects.

The Big Data Talent Report pointed out that there are only 460,000 big data talents in the country, and there will be a gap of up to 1.5 million big data talents in the next 3-5 years.

According to the "China Internet Most Popular Jobs Talent Report", the six most in-demand talent positions in China's Internet industry are R&D engineers, product managers, human resources, marketing, operations and data analysis. Among them, R&D engineers are the most in demand, and data analysis talents are the most scarce. The LinkedIn report shows that highly scarce is data analytics talent, which has the lowest supply index only.

And the speed of job hopping is also the fastest, with an average job hopping speed of one month.

According to the statistics of the Data Analysis Professional Committee of the China General Chamber of Commerce, the gap of basic data analysis talents in China will reach 14 million in the future, and more than 60% of the positions recruited by BAT enterprises are recruiting big data talents.

Not bad. The employment prospects of big data majors are good, and there are still many jobs in the field of big data, especially the big data development positions, which are gradually covering from big data platform development to big data application development, which is also big data.

Employment direction of big data major.

Big data development direction: the positions involved include big data engineer, big data maintenance engineer, big data R&D engineer, big data architect, etc.;

Data mining, data analysis and machine learning: the positions involved include big data analyst, big data senior engineer, big data analyst expert, big data miner, big data algorithm, etc.;

Big data operation and maintenance and cloud computing: the positions involved are such as big data operation and maintenance engineers;

At present, the job prospects of big data are still good.

As long as you have a technical prospect, the Internet is already an inseparable part of life, and the prospect is destined to be as long as you do network technology work.

Big data is the future, and the prospect is still okay.

Now is the era of big data, for example, if you use JD.com** these apps to buy products, or just search for keywords to see the product, but the big data of these platforms is analyzing your preferences and needs, and will push your preferences to your products. The same is true for other apps, which use big data to give users better recommendations and services.

The job prospects of big data are very good, and the future society is an information-based society, and big data and information occupations are more popular.

Summary. The big data industry is relatively easy to find a job, and the prospects of big data are very good, and there is a shortage of big data talents in China. The application of big data is very extensive, and big data not only includes the data analysis of the internal application system of the enterprise, but also includes the deep integration with the industry and industry.

There are various kinds of work related to big data, some that require advanced technology, and some simple work. Willing and determined to engage in big data-related work, no matter what major you studied before, you will definitely be able to find the most suitable entry point for you to work in the big data industry.

The big data industry is relatively easy to find a job, and the prospects of big data are very good, and there is a shortage of big data talents in China. The application of big data is very extensive, and big data not only includes the data analysis of the internal system of the imperial annihilation enterprise, but also includes the deep integration with the industry and industry. There are various aspects of work related to big data, some that require advanced technology, and some simple work.

Willing and determined to engage in big data-related work, no matter what major you studied before, you will definitely be able to find the most suitable entry point for you to work in the big data industry.

Can you learn data science and big data technology with a score of 75 in mathematics?

Hello, are you there.

Hello Yes The limit is not too big.

Is it hard to go to graduate school?

I plan to take the postgraduate entrance examination, but I am afraid that I will not be able to pass the exam even if I work hard.

Hello, are you there.

Not dear. It depends on individual effort and college choice.

Shenyang University of Technology.

Yes, the pro-graduate examination rate is OK.

Big data is still relatively easy to find a job.

The employment prospects of big data majors are very good, the era of big data is the era of scarcity of professionals, as an emerging technology field, there are few "old experts" in the industry, many work practitioners with two or three years of experience, it can be said that the qualifications are very old, and the big data graduates of domestic colleges and universities are far from meeting the market demand.

It's a sunrise industry that is on the rise right now, and data is at the heart of any company, and data analysts are important decision-makers for companies. Not only can it play a decisive role in the development of enterprises, but it can also be applied to various industries to bring a lot of value, and its development will be better and longer than other IT technology development in the future.

Big Data Professional Development Direction:

1. The big data developer respects the skin.

The positions involved include big data engineers, big data maintenance engineers, big data R&D engineers, big data architects, etc.; Data Mining, Data Analysis and Machine Learning: Positions such as Big Data Analyst, Big Data Senior Engineer, Big Data Analyst Expert, Big Data Miner, Big Data Algorithm, etc.

2. Big data operation and maintenance and cloud computing.

The positions involved, such as big data, operation and maintenance engineers, etc.; Among them, data mining and data analysis are the easiest to get started and the development direction with the largest talent gap. Many large enterprises will use some BI tools, such as Tableau and PowerBI, which are very famous abroad, and DataFocus, FineBI, Yonghong BI, etc., which are domestic dark horses, to assist in data analysis. Big data analysts need to be proficient in using these BI tools to maximize the value of data.