Choosing data analytics as a career option is one of the most arduous tasks. If this choice is driven by interest, the herculean journey is worth it. However, if this decision is motivated by a lucrative interest in the job, a lot of preparation would be needed to crack the interview. It is at the interview stage that the depth of knowledge related to data analytics is tested. In addition to this, interpersonal skills are also evaluated at this stage. Generally, puzzles for analytics interviews are tedious and hold the key to cracking an analytics interview.
Following are some of the important tips that need to be kept in mind during the interview stage:
Confidence is the key
Confidence is the key to crack any data analytics interview. No matter how much amount of preparation you have put in, it boils down to the level of confidence that you can garner at the last moment. The panel would try its level best to unsettle the interviewee. This is because the panel wants to judge the ability of the interviewee to deal with difficult and tense situations. Each and every board member would try his level best to check the confidence levels of the candidate. This would be done by posing difficult questions or subjecting the candidate to ethical dilemmas.
In a question that involves an ethical dilemma, the candidate would be forced to choose between two competing options, both of which may be correct but the choice of one would lead to compromise of the other.
It is also extremely crucial not to get over confident during the time of the interview. A very thin line of demarcation separates confidence from over confidence. Overconfidence may amount to unacceptable attitude and a candidate with overconfidence is likely to get rejected.
Believe in your preparation
A candidate may be subjected to very difficult questions at the time of interview. This is when the candidate needs to believe in his preparations. Each and every question that is asked during the interview would revolve around the knowledge that the candidate has gathered during the preparation stage.
If there is a difficult question that a candidate is unable to answer, he should not get demotivated as it would impact the subsequent questions that would follow. Each and every question is a separate entity and needs to be answered Tabula Rasa, that is, on a clean slate.
Answer the core and crux of the question
It is extremely important that you pay attention to a particular aspect of the question that has been asked by the interviewer. There are instances when candidates answer the question by looking at the theme in a superficial manner. The key to answering a question correctly is to first understand the demand of the question. After this, the core and crux of the question needs to be answered that satisfies the demand of the question.
Don't beat around the bush
There is a possibility that a candidate may be unaware of the answer to a particular question. In such cases, the candidate usually attempts the question without its full knowledge. This gives a very negative impression to the interviewer. In this case, one of the best things to do is to tell the interviewer that he is unaware of the question and will have to read on it further.
Be ready for analytics puzzles
Most of the candidates think that an analytics interview is an oral exercise and they would not be subject to puzzles. However, this is one of the most vulnerable points that can land a candidate in severe trouble. It is difficult to imagine an analytics interview that does not have analytics puzzles associated with it. Analytics puzzles may be derived from the knowledge of basic mathematics and statistics. As such, it is not very difficult to solve but requires situation awareness, self assessment as well as critical thinking.
Footnotes: Critical thinking is extremely crucial
Critical thinking is extremely important in an analytics interview because most of the questions revolve around this aspect. It is with the help of critical thinking that a candidate can apply his knowledge in an analytical manner and answer the question appropriately. The members of the interview panel often consider a candidate on the basis of high levels of critical thinking. Since a candidate is expected to take up the role of a data analyst, it is expected from him to demonstrate high levels of critical thinking.
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