What Are the Different Data Analyst Jobs?

A data analyst is a type of data analyst Datician ['detn], referring to professionals in different industries who specialize in industry data collection, collation, analysis, and make industry research, evaluation, and prediction based on the data.

This is an era of speaking with data, and an era of relying on data competition. More than 90% of the world's top 500 companies have established data analysis departments.

1. Know the business. The premise of engaging in data analysis will need to understand the business, that is, familiar with industry knowledge, company business and processes, it is best to have your own unique insights. If you leave the industry cognition and company business background, the analysis results will only be offline. Kite is not very useful.

2. Understand management. On the one hand, it is a requirement to build a data analysis framework. For example, to determine the analysis ideas, you need to use theoretical knowledge such as marketing and management to guide. If you are not familiar with management theory, it is difficult to set up a data analysis framework and subsequent data analysis is also difficult. . On the other hand, it has the guiding significance for the conclusion of data analysis.

3. Understand analysis. Refers to mastering the basic principles of data analysis and some effective data analysis methods, and can be flexibly applied to practical work in order to effectively carry out data analysis. The basic analysis methods include: comparative analysis, group analysis, cross analysis, structural analysis, funnel chart analysis, comprehensive evaluation analysis, factor analysis, matrix correlation analysis, and so on. Advanced analysis methods include: correlation analysis, regression analysis, cluster analysis, discriminant analysis, principal component analysis, factor analysis, correspondence analysis, time series, and so on.

4. Understand tools. Refers to mastering common tools related to data analysis. The data analysis method is a theory, and the data analysis tool is a tool for realizing the theory of the data analysis method. In the face of increasing data, we cannot rely on a calculator for analysis. We must rely on a powerful data analysis tool to help us complete the data analysis work.

5. Understand design. Understanding design refers to the effective use of charts to express the data analyst's analytical point of view, so that the analysis results can be seen at a glance. The design of charts is a question of the university. For example, the choice of graphics, layout design, color matching, etc., need to master certain design principles. ^[2]