Interview guide for data person | prepare these points to be prepared!

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CDA Data Analyst Produce

edit ：Mika

Analyze job questions based on interview data , Last time, we have defined ourselves 、 Interview self introduction and salary share some skills and methods .

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Interview guide for data person | These three questions are the key to the job interview

Today we continue to invite CDA The employment teacher of data analysts , Let's have a further talk ：

• During the interview , What does the interviewer value ;
• How individuals should demonstrate their abilities ;
• And the common data analysis workflow .

Q1: Interview data analysis position , What are the key factors that the interviewer focuses on ？

First, I will look at the job seekers Do you have experience in data analysis related projects , Familiar with common data analysis tools .

secondly , Whether it is sensitive to data , Whether you have strong multiple logical thinking ability .

Will also pay attention to Whether the applicant's thinking is used to being structured , Whether they can quickly adapt to the new environment and the team , Able to bear high labor intensity , Accepting a business trip is also of great concern .

Q2： During the interview , How to show your personal ability ？

First of all Professional capability ： Familiar with industry and surrounding business knowledge ;

The second is Management experience ： Must be skilled in enterprise management and data application ;

The key is Data analysis capabilities ： Be proficient in data analysis principles and related methods ;

stay Display of comprehensive ability when , Strong communication skills and project management skills should be emphasized ;

If you have a good BI Or the design ability related to data warehouse architecture can be scored .

Q3： What are the common data analysis workflows ？

Except for the interview , Here we have another look , What does the daily data analysis workflow include ：

First step 、 Data collation ： Demand confirmation 、 Data acquisition 、 cleaning 、 transformation 、 Integrate ;

The second step 、 Data modeling ： Building data models , Complete the algorithm design ;

The third step 、 Data analysis ： Mining the business value of data and analyzing ;

Step four 、 Data visualization ： Visual display of data analysis results ;

Step five 、 Report writing ： Write data analysis reports .