What is the future of data analytics?

The future of data analytics is quite promising. Because every enterprise needs data analysts, especially in industries such as insurance, banking, e-commerce companies, and retail, and data analysts can also develop across industries, as long as they are willing to learn and have potential, the development direction is also different.

Data analyst is the analysis and interpretation of data indicators, simply put, it is to diagnose the current business development of the enterprise, whether it meets the expected goals and achieves results. The job requirements for a data analyst are threefold:

1. Understand the relevant business. That is to say, the understanding of the business of the enterprise and the data analysis business, only when the macro concept is formed, the data analysis work can be more handy.

2. Master relevant data analysis tools. There are many data analysis tools to be used in the process of data analysis, and mastering one or two data analysis tools is also one of the necessary skills for data analysts.

3. Good communication skills. Because the work of a data analyst is not something that can be done by one person, and the needs of each company are different and the requirements are different, data analysts need to communicate with employees in various departments and at all levels.

For more questions about the development prospects of data analysis, it is recommended to go to the CDA Data Analysis Certification Center to learn about it. CDA is the abbreviation of data analysis professionals in the era of big data and artificial intelligence, which refers to new data talents who specialize in data collection, cleaning, processing, analysis and can make business reports and provide decision-making in industries such as Internet, finance, consulting, telecommunications, retail, medical care, and tourism.

The current situation of big data prospects is very good, with the application of big data in all walks of life, and is changing all walks of life, but also leading the change of big data talents, with the support of the state and local **, big data in the enterprise to take root, blossom and bear fruit. In the next three to five years, China will need another 1.8 million data talent, but there are currently about 300,000. By 2020, the future development of enterprises will be based on the development of data industries such as big data computing and analysis, data mining, and data analysis, and China will also need more data talents.

Hello, the prospect of data analysis, very, very good, I learned about big data in 2012, I studied it at that time, data mining, read some foreign books and then found out in my work, data mining, including AI, including, uh, today, cloud computing, are very, very promising careers, but it may be that the time is not yet ripe, but it is much better than in 2012.

In terms of data analysis, its prospect development is still relatively good, because there are many majors that need to use data analysis as an industry.

Today's society is developing rapidly, which is an era of big data, and the development prospects of data analysis are increasing day by day.

The job prospects are good. On the one hand, the state vigorously supports the development of the big data industry, which has risen to an international strategy, and today, big data talents are having more development opportunities. On the other hand, there is a shortage of talents in many fields, such as education, medicine, computer science, social science, business, finance, medicine, law, and linguistics.

So it's facing a very big talent gap.

In general, there are several main routes in the development of data analysts.

1) The professional route of data analyst, which is basically to become a data analysis expert and become an expert in the professional direction.

2) Transfer to management, which is basically to become the data analysis team leader or director in the later stage to manage a group or a department.

3) Turning to other directions: Data analysis is a very close work to the business, so you can turn to the direction of product operation or data products.

If you want to know more about the prospects of the data analysis industry, you can consult the CDA certification center. The CDA industry standard is jointly formulated by industry experts, scholars and well-known enterprises in the field of data on an international scale and revised and updated every year, ensuring that the standard is public, authoritative and cutting-edge. Those who pass the CDA certification exam can obtain the CDA certification certificate in both Chinese and English.

Data analyst is a job with very good development prospects, the development of the times determines that in the future, data analyst will become an indispensable job, if you can be lucky enough to enter this industry, then cherish it, and for those friends who have not considered the future employment direction, data analyst is definitely a good choice.

From the perspective of job salary, the high salary in the data analysis industry is mainly distributed in the Yangtze River Delta, Pearl River Delta and Beijing-Tianjin region. Beijing, Shanghai and Shenzhen rank first in terms of salary, with an average salary of 10k+; Hangzhou, Ningbo and Guangzhou ranked second in the phalanx, with an average salary of 9K+; Other coastal and inland regional central cities, such as Nanjing, Chongqing, Suzhou, Wuxi, etc., are located in the third array, with an average salary of about 8k.

In terms of the number of positions, Beijing, Shanghai, Shenzhen and Guangzhou are ranked first with 30,000+ jobs, Hangzhou, Chengdu, Nanjing and Tianjin are ranked second with 20,000+, and regional centers or provincial capitals such as Wuhan, Xi'an and Zhengzhou also have relatively high demand for data analysis positions, with 10,000+ jobs.

From the perspective of industry demand, the demand for data analysts in the fields of Internet finance, O2O, data services, education, e-commerce, and culture and entertainment is greater than that of other industries.

The prospects for the position of data analysis are certainly good, but for individuals, if they want to work in this industry, they still pay more attention to whether they have this ability.

The reason why I say it is because it is an era of big data, and many business activities will involve the field of data analysis, which can be said to be the basis for starting a business or carrying out a certain business activity. Therefore, the professional requirements for the position of data analyst are still very high, so it is more important for individuals to improve their abilities if they want to develop in the field of data analysis.

1. Focus on training data analysts.

In order to adapt to the economic system of big data and change the current situation of the absence of professional and technical personnel in project data analysis in China, China has begun to focus on cultivating data analysis talents for this problem very early. In many provinces, the first data analysis firm was established in Shaanxi, and then 14 provinces and cities successively introduced a total of about 80 professional institutions for project data analysis, and the industries involved are becoming more and more extensive. <>

Second, the position of data analysis has a bright future.

From the above, the position of data analysis is still very popular. Especially in today's era, data analysis is fundamentally inseparable, and 90% of the top 500 companies will build their own data analysis department. Nowadays, China's data analysis industry is also developing rapidly, and the vacant data analysis positions in all walks of life have almost reached 200,000, which means that there is still a great demand for this position.

Under such circumstances, many colleges and universities in China will still focus on cultivating talents in this position.

Third, it is more important to have the ability to work.

Although the employment prospects of this position are bright, it does not mean that everyone can be qualified for this position, so if you want to work in this industry, it is more important to have the ability to work in this position. The position is a general direction, and the accurate employment positioning still depends on the individual, and I hope that everyone will not blindly pursue the job.

I think the prospects for this position are very good, very promising, the salary is also very good, and now it is also in the era of the Internet, so the development will be better and better.

The prospects for this position are good, you can guarantee your salary package, you can also promote the development of technology, and you can also summarize your career experience.

The prospect of data analysis is very good, because there are many companies that need to conduct data analysis, and there will be a large number of data analysis talents.

It's awesome, and there will definitely be a lot of talent in this area in the future.

From the perspective of industry background, big data is one of the hottest industries now, and the most common positions can be roughly divided into two types:

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.

2. Analyze the direction.

Business-biased refers to discovering business problems through data, gaining insight into industry opportunities, and driving the development of enterprises through the value generated by data, which is also the most needed talent for the digital transformation of enterprises, and has low requirements for programming ability.

According to the business of the enterprise, generally speaking, data operation is mainly to complete the work of data processing, such as calculating ROI, reports, data collation, data query and some statistical work, etc., and the work of data analysts not only needs to master the basic operation of some tools, but also needs to understand the business. Able to combine business knowledge and data, and be able to find business problems in the process of enterprise operation through various data of the enterprise, and help the enterprise solve the problem.

Now enterprises are undergoing digital transformation, and the development of enterprises is driven by data, and data analysis determines corporate strategy. The most important thing for the digital transformation of enterprises is people who understand data, and the most lacking in China is talents with analytical skills, so the demand and salary of data analysts in the market remain high.

If you make a comparison, the hottest high-paying profession is programmer, but if you look at the employment prospects, first of all, the low-level programmer has a low salary, the competition is large, and the competition has started since school, and then it is a crisis when it reaches a certain age, which is also recognized. However, data analysts are different, the older they are, the more experienced they are in the project, and the more reliable the results of the side testimonial analysis, so being a data analyst is a very promising career both in terms of industry development prospects and salary.

Answer: Data analyst is a job with very good development prospects, the development of the times determines that in the future, data analyst will become an indispensable job, if you can be lucky enough to enter this industry, then cherish it, and for those friends who have not considered the future employment direction, data analyst is definitely a good choice.

Data analysts have a variety of options on the road to advancement, such as becoming a product manager with strong data skills, an operational VP of a data-guided business, or a management or strategy layer, all of which are brought to people by broadening their horizons in the process of work.

Not only does a data analyst have a huge salary advantage, but there will continue to be a huge gap in this position in the future. According to McKinsey & Company, China will need as many as 2.2 million data talents by 2025.

With the increasing application of big data technology in all walks of life, data-driven intelligent products and refined operations have become the magic weapon for business operations.

The job gap is large, the employment salary is high, and the requirements for academic qualifications are not particularly high, and the requirements for experience are not strict, so that data analysts, in the era of big data, ushered in the first employment period.

Data analyst, which is the starting point for a career in data analytics. Some companies will give data analysts more specific job titles according to the characteristics of their industry, such as business analyst, operations analyst, database analyst, and financial data analyst. In addition to different industries and different businesses, the most important function of all data analysts is to obtain, clean, and analyze data for business or operational problems or needs, and present data analysis results to assist enterprises in making judgments or decisions.

Through a search of Boss Zhipin and LinkedIn, it was found that there are 100,000+ data analyst job vacancies on it, most of which are in demand in the Internet industry. It is worth noting that although there are many data analyst employees in China, their number is still very small, and job vacancies account for as much as 50% of the market. Most of the most popular positions will be given in the recruitment JD with the recruitment condition of "having data analysis ability".

In 2019, the national demand for big data talents was 12 times that of 2015, and it can be seen from the data that data analysts will be an important direction of career development in 2020 and even in the future.

From sales, marketing, to operations, product managers, user research, etc., they all try to see the way from all kinds of complicated data and gain insights into the market, products, consumers, etc.