Author: Love Data - Orange
link: https: //www.zhihu.com/question/346513349/answer/827110914
Source: know almost
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PEST、SWOT
5W2H, AAARRR, life cycle analysis methods
Since the purpose of obtaining the certificate is to increase the interview/entry success rate and salary increase , why not focus on improving personal business analysis skills and interview preparation ?
When a data analyst is interviewing, what aspects do the interviewer mainly examine?
1. Basic tools (tools are the threshold for job hunting. If you are working on job hunting data, excel+SQL can do most of the work. Of course, you have to learn python and other tools. The tool here is not to think about making it to the sky first. Learn the two basic tools of excel and SQL, then learn python, and note that different industries have different requirements for tools, you can check the JD requirements of the target position)
2. Business ability (mainly depending on what industry you have worked in, you What are your insights on the business and how to control the details)
3. Analytical thinking (what is your analysis perspective and judgment when you encounter a problem? Is the framework clear enough?)
4. Problem solving ability (the result of the analysis, can it be business Or provide reasonable suggestions for operation)
How to stand out in an interview?
Our goal is straightforward, to convince the interviewer that you have the above four abilities.
1. For most job seekers, mastering tools is no longer considered an advantage. What are your bonus points at this time? For example, you can export your personal works on platforms such as official accounts, short books, Weibo, and Zhihu, and let the works prove your ability, which is far more useful than various certificates . Because what you show is not only tool skills, but also your thinking and logic, which employers want to see more .
2. There must be routines for expression. In short, the expression must be logical, such as first, second, and last. There is also a total score logic, which can be applied to interviews.
3. Let the analysis be logical. At this time, SWOT analysis, 4P marketing theory, PEST analysis, 5W2H, life cycle, AAARRR model and other data analysis methodologies are used. We can train independently through these methodologies, and the training method is also very simple. Use xmind to build our own analysis framework.
Give a chestnut : For example, one day when you went to an interview, the interviewer asked you why the daily life fell recently?
Then you can think like this:
Step 1 : Use PEST and SWOT to see what the state of the environment is? Is there any policy influence, whether there are new competitors, what actions the competitors have done in the same period, etc. (this is your overall view)
Step 2 : Start from the various indicators that affect daily activities, such as people, goods, and markets Wait (this is your thinking framework)
Step 3 : Use 5W2H, AAARRR, life cycle and other analysis methods to locate and troubleshoot the possibility of problems (this is your theoretical application)
Step 4 : Data verification, we must Note that data quality is the lifeline, comparison history, hypothesis verification, multi-dimensional analysis, cross-analysis, etc., to find the root cause of the problem (this is your analysis process)
Step 5 : The analysis results and decision-making suggestions should be implemented to the person or department , So that the analysis results can be better implemented, and don't let the interviewer feel that you are only at the academic level. (This is your result landing)
It should be noted that when the interviewer asks such an open question, what he wants is not the answer but the process of your thinking and analysis. Because there is no data for this type of topic, and you do not know what the detailed business process is, it may be difficult for a master to give clear suggestions and answers.
Finally, I am not against everyone taking the certificate, but you have to be worthy of your own money, especially your own time.