Everyone knows that an interview must bring a resume, so how can we make a resume that satisfies the interviewer? Bian Xiao suggested here that you can try the star rule, which can highlight your achievements in the data analysis project.

In addition, the resume must be made in combination with the recruitment requirements. The higher the degree of matching with the recruitment requirements, the easier it is for HR to find it. Don't be lazy and win the world with a resume.

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It is best not to send your resume to Haitou. If you like a company, you can choose multi-platform delivery.

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Finally, we have reached the most critical link. Generally introduce the projects you have been exposed to. The advantage of this is that there is room for the interviewer to ask questions according to your introduction. If it is too detailed, the interviewer may ask some deep questions, and it will be embarrassing if he can't answer them.

There will be technical problems in the data analysis interview, and Excel+SQL+python/R tools are needed. Everyone must master the theory and practice of these tools in detail. The purpose of data analysis is to promote the business growth of enterprises. Everyone should know more about the company's business. Generally, the interviewer will make a hypothetical case based on the company's business to analyze the data for you.

About what data analysts need to prepare for the interview, Ivy Bian Xiao would like to share with you here. If you are interested in big data engineering, I hope this article can help you. If you want to know more about the skills and information of data analysts and big data engineers, you can click on other articles on this site to learn.