When competing for employment what kind of questions will be more appropriate and effective

User asked: departments to find a few people to do data analysis. Several people turned out to be in different positions, the data analysis has not been done before, how can we see if they are suitable for data analysis, the use of competing what kind of title will be more appropriate and effective? What coup?

I think no matter what the most important work interests, to be the most basic data analyst is not annoying numbers, if you tell him that index is through what kind of multiplication and division obtained, he will feel impatient, then obviously he does not Suitable for data analysis; if the data is more sensitive to be able to find outliers, data distribution, of course, is the best.

Then it is logical, allowing him to try Einstein's classical logic that way to see if it can be solved, how long; logical thinking of data analysis is particularly important, otherwise it will be the definition of a variety of indicators rules, Contact with the business tangled, logical thinking people write SQL and other data processing scripts will be more efficient.

Followed by the ability to understand business, the simplest is to let him define what is the goal of the site, which indicators can be used as KPI, the user from entering the site to reach the goal of the site is how to achieve the conversion process, can draw business flow chart . (Macro level, do not go into details)

If the partial technology you need to know some database structure and SQL, if the partial display need to test the ability to control the chart, when to use what chart appropriate, and even how to color.

The last is careful, patient and communication skills, sometimes data analysis is very tangled, careful and patient is necessary, good communication skills allow data analysts to better explain all kinds of problems.

These are more basic things, but also short-term skills that are difficult to cultivate. As for other business-related knowledge, you can get through training, ask a person who did not contact your site business Some business knowledge is actually somewhat unfair, in fact, if you have the above points, once familiar with the site and business, will be excellent Data analyst.

- from the knowing partner joegh's reply

1, ask him what he likes, usually interested in what things, and then dig what he cares about these things in the data, such as buying lottery? Stock? See nba? In fact, there are a lot of data, he is in his favorite area, if At home, the interpretation of the data in place, (such as a nba star data and the corresponding performance of the state to comment) at least shows that he has a strong sense of the data. Data sense is the number one priority for data analysis.

Ask him about his understanding of data analysis and his goals and see how he knows the job.

3, common data analysis Mistakes There are many classic examples, given a few test questions (prone to misjudgment of the data case) Let him analyze the interpretation.

4, a typical scenario analysis, in some business situations, the most need to pay attention to what data, how to interpret some of the data features.

Of course, 3 and 4 require interviewers or examiners have a very senior scene to grasp and enrich the robust sample library, if the examiner can not hold on their own, it would not.