What are the capabilities of survey data analysis?

What is data analysis capability? We need to consider this issue from the perspective of the enterprise. First of all, identify what type of data analysis position you are talking about. Although many companies on the market are recruiting people under the banner of data analysis, the job requirements can be roughly divided into two directions: one is data development The direction is more technical, including development engineers, mining engineers, algorithm engineers, and data warehouse engineers. The threshold for these is relatively high, and they require talent. This requires relatively high academic qualifications, majors, and graduation schools; the other is business. The direction of analysis, which is business-oriented, is to discover business problems and gain insights into business opportunities through data. It runs through all departments of the enterprise and drives the development of the enterprise through the value generated by data. This is also the talent most needed by enterprises for digital transformation. In terms of threshold, the entry threshold for business data analysts is relatively low. I mainly talk about the ability requirements in the direction of commercial data analysis, because the direction of development is a requirement for technology. As long as you have strong programming skills, that is your capital. However, the ability in the direction of business data analysis cannot be defined by answering an interview question. High and low. Business data analysts do not just do some simple data processing and reporting work. They do not need to be able to use Excel, Python, SQL and other tools to be a data analyst. At best, they are data operations. Business data analysts not only need to learn to use some tools to build data warehouses, crawl data, data cleaning, visualization, etc., but also need you to have business knowledge and analytical thinking to use the value of data to help solve problems and promote the development of the enterprise. In more specific business operations, for example, when you are faced with specific projects that require product market expansion analysis, product life cycle analysis, customer analysis, etc., programming tools will help you process data and help you display the analysis results. , and this kind of analytical thinking that data analysts must possess, as well as systematic problem-solving structural thinking.