Not very tired, data analysts the main focus of the "analysis", analysis of operational data into the power of business decision-making. The data analyst, of course, needs to show the data through easy-to-understand charts and graphs, whether pie charts, graphs, bar charts, etc. The data analysts also needs to show the data through easy-to-understand charts and graphs. About overtime, if the work is limited to mechanized data analysis work, then, faced with the choice may be "overtime".
Basic Requirements of a Data Analyst
1, understand the business.
The premise of the data analysis work will need to understand the business, that is, familiar with the industry knowledge, the company's business and processes, it is best to have their own unique insights, if detached from the industry knowledge and the company's business background, the results of the analysis will only be out of the line of the kite, there is not much use value.
2, understand the management.
On the one hand, it is to build a 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 management theory, it is very difficult to build a data analysis framework, the subsequent data analysis is also very difficult to carry out. On the other hand, the role of the data analysis conclusions for the data analysis to put forward a guiding analysis of the recommendations.
3, understand the analysis. Refers to master 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.
Refers to master 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.
4, know the tools.
To master the common tools related to data analysis. Data analysis method is the theory, and data analysis tools is to realize the theory of data analysis method tools, in the face of increasingly large 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.
Note:
1, data analysis of the best tools must include Excel, usually a good data analyst must be a very, very professional Excel users, which includes the understanding of the common formulas and functions of Excel and the use of (pivot tables, a variety of charts, etc.).
2, if you are committed to working in data analysis, that in addition to mastering Excel, VBA, SQL, but also need to keep up with the trend, learning the latest skills, but also have to consolidate the foundation.