Data analysis is mainly to do data collection, mining, cleaning, analysis, and finally the formation of business value of the analysis report. The large volume of data, including the large volume of data, including data dimensions of the broad.
Big data analyst is a very important job is to analyze the data to find out the characteristics of past events. By introducing key factors, big data engineers can predict future consumer trends. In various marketing platforms, data analysts try to help Taobao sellers do business by introducing weather data.
Example
If it's not hot this summer, it's likely that certain products won't sell as well as they did last year, and in addition to air conditioners and fans, tank tops and swimsuits may be affected by it. Then we will establish the relationship between weather data and sales data to find the categories that are relevant and warn sellers in advance to turnover inventory.
Depending on the nature of the business of different organizations, big data engineers can use data analytics for different purposes.
There are five skills that a big data analyst needs to master
Know the business. Engaged in data analysis work will need to understand the premise of business, that is, familiar with industry knowledge, company business and processes, better have their own unique insights, if out of the industry knowledge and company business background, the results of the analysis will only be out of the line of the kite, there is not much use value.
Knowledge of management.
In terms of building the data analysis framework requirements, such as determining the analysis of ideas need to be used to guide the marketing, management and other theoretical knowledge, if you are not familiar with the theory of management, it is very difficult to build a data analysis framework, the subsequent data analysis is also very difficult to carry out.
The other
aspect of the role is to analyze the conclusions of the data to put forward a guiding analysis of the recommendations.
Knowing how to analyze. It refers to the mastery of the basic principles of data analysis and
some effective data analysis methods, and can be flexibly applied to the practice of work, in order to effectively carry out data analysis. The basic analysis methods are: comparative analysis, group analysis, cross-analysis, structural analysis, funnel plot analysis, comprehensive evaluation analysis, factor analysis, matrix correlation analysis. High
The analysis methods are: correlation analysis, regression analysis, cluster analysis, discriminant analysis, principal component analysis, factor analysis, correspondence analysis, time series and so on.
Know the tools. Refers to the mastery of data analysis related common tools. Data analysis method is the theory, and data analysis tools is to realize the theory of data analysis method tools, in the face of more and more huge data, we can not rely on the calculator to analyze, we must rely on powerful data analysis tools to help us complete the data analysis work.
Know the design. Knowing the design refers to the use of charts to effectively express the analytical views of data analysts, so that the results of the analysis of the visual. The design of the chart is a big question, such as the choice of graphics, layout design, color matching, etc., all need to master the set of design principles.
What are the job prospects for Big Data Analysts?
From the 1990s, Europe and the United States began to train a large number of data analysts, and until now, the demand for data analysts is still thriving, and there is a trend of expansion.
According to the U.S. Department of Labor, the demand for data analysts is predicted to grow by 20% by 2018. Even if you are not a data analyst, data analytics skills are one of the essential job skills for the future. In countries where the data analytics industry is mature, 90% of market decisions and business decisions are determined through data analytics research.
The above is about what big data analysts do and employment prospects, big data analysts are gaining more and more attention among enterprises, learning professional skills, mastering professional skills, in order to stand firm. If you want to know about big data analysts, welcome to talk to me about it.