Interview experience of data analysts

I am often asked a question. What questions do data analysts or data mining engineers ask in an interview? Especially the following people:

1, a friend who wants to switch to data analysis.

2. I used to be a data analyst in a relatively small company and went to a big company for an interview.

3. College students.

Before answering these questions, let me talk about an interview experience of mine. I remember when I was a data analyst in a small company, a friend recommended me to interview a data analyst in a big company. At that time, I was also thinking that the data analysts interviewing big companies would definitely ask:

1. What models have you made?

2. What tool is it made of?

3. What algorithms do you know or know?

4. How much data is there?

.......

But when I went to communicate, I didn't ask more about the algorithm principle of data mining model and what tools to use. More is to ask some questions about the project background, how to think about these projects, how to use these model results, and how to promote the use of data results by business parties. Frankly speaking, I thought it was incredible. How should I ask these questions?

Therefore, when analyzing the interview data for this position, basic knowledge is necessary. But more attention should be paid to the realization of data value, especially for students who have been engaged in data analysis for a period of time, but if they are just about to engage in data analysis, basic professional knowledge and skills must be asked in the interview. If this company wants to train or recruit people to do data analysis in the future, as happened in my interview, it will definitely pay attention to problems outside the interview.

Back to the specific interview questions, PS: Here I just talk about my views and some questions I will ask in the interview, and why I will answer these questions.

First, understand the nature of your job interview.

1, your understanding of the value of the position you are interviewing for.

2. What do you think of the job content of this position?

3. Understanding of the company.

Second, communication/logical thinking

1. Tell me about some projects you have done in the past/tell me about your previous work experience.

2. Some professional analysis you have done before.

3. The model you have made before.

4. How to deal with the previous business gathering?

Third, the understanding of data and business.

1. How to understand data sensitivity?

2. How do you think the data reflects its commercial value? Can you give me an example?

Fourth, professional skills.

1, basic statistical knowledge.

2. The basic algorithm of data mining.

3. How to evaluate the model?

4. Tools used.

5. Data mining process.

6. How to clean up variables such as indicator definition and missing value processing?

7. How to solve some technical problems encountered in modeling, such as * * * linearity and data types targeted by different models.

Verb (abbreviation of verb) learning ability

1, how to learn professional knowledge.

2. How to learn business knowledge?

Career development of intransitive verbs

1. Career planning for the next three years.

2. How to realize these planning schemes.

I think the interview process can ask several kinds of questions, and different interviewers can aim at different things. What I want to say to all my friends who are interviewing data analysts is:

1. Everyone is equal in the interview. Not too weak and not too strong.

2. Express your previous work in an orderly way.

When interviewing some questions, you can think about it. Personally, I feel that not all questions should be answered immediately after asking.

4. Take the interview as a kind of learning and experience. The key is that you can find your own shortcomings from some interviews.

Other tips:

1. Know this position before the interview. Know this company. Spend some time interviewing companies and positions to find out what other companies do. If you are particularly interested in this company, go to the website to experience the products and services of other companies. Will make the interviewer feel respected. Sure, it's too expensive.

2. If you get to know someone first or know the company you are interviewing for through some channels, what is the situation of the department? What kind of people to recruit.

3. The recruitment of many enterprises is quite different from the people actually needed.

4. Before submitting your resume: Spend some time on your resume: It's really rare to see a resume that has no typos and can clearly write down your previous work on a piece of paper.

Opportunities are reserved for those who are prepared. Are you ready? After each interview, look at your own shortcomings, and then you must study immediately.

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