Analytics Interview Preparation Guide
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75 Analytics Questions and Answers:

1 :: Top 12 Stress Based Interview Questions In Analytics:

Some jobs require employees to work under stress, and some interviewers just like to see how applicants handle stressful questions.

There are many questions designed for putting the interviewee into an awkward situation, or throwing them off, to see how they do under stress. Here are some samples.

1. How do you feel this interview is going In Analytics?

2. How would you handle undeserved criticism from a superior?

3. How many other jobs are you applying for?

4. What would you do if you saw a colleague stealing supplies or equipment?

5. What did you do when you had a boss you didn’t get along with?

6. What would you do if a colleague took credit for your idea, and got a promotion?

7. Was the stress of your previous job too much for you?

8. What would you do if a colleague admitted to lying on their resume to get the job?

9. What would you do if a customer verbally insulted you in front of co-workers?

10. What would you change about the design of a baseball hat?

11. Why were you fired from your previous job In Analytics?

12. How successful do you think you've been so far?
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2 :: Why was there a gap in your employment In Analytics?

If you were unemployed for a period of time, be direct and to the point about what you’ve been up to (and hopefully, that’s a litany of impressive volunteer and other mind-enriching activities, like blogging or taking classes). Then, steer the conversation toward how you will do the job and contribute to the organization: “I decided to take a break at the time, but today I’m ready to contribute to this organization in the following ways.”
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3 :: Top 11 Questions to Verify Experience and Credentials In Analytics:

Sometimes people want a job a little too bad - and they may fudge their credentials and experience a bit.

If you've run into this problem, are worried about it, or have credentials and experience that are absolutely essential, you may need to ask a few verification questions.

If you are a candidate, you should review your resume and make sure you know all the key points, and that nothing has been misconstrued.


1. What grades did you get in college?

2. What were your responsibilities when you worked in job x?

3. How many people were on your team at your last job?

4. What will your previous manager/supervisor say when I ask where you needed to improve?

5. What was your beginning and ending salary at job x?

6. What were your beginning and ending titles at job x?

7. Are you eligible for rehire at job x?

8. What tools are necessary for performing job x?

9. Describe to me how you would perform [x typical job task].

10. What was the focus of your thesis?

11. When did you leave company x?
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4 :: What do you know about our company?

You always want to make sure that you're pretty familiar with the company that you're interviewing with. Nothing looks worse than a candidate who knows nothing about the company they say they're interested in working for. Find out everything you can about the company, its culture and its goals. You will also want to know how the company is positioned in its market as well as who its major competitors are.
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5 :: Where do you see your career in five years In Analytics?

I would like to retire from this company. I would like to make a difference in the company whether in the company or any other position or area of the company In Analytics.
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6 :: What have you learned from mistakes on the job?

Candidates without specific examples often do not seem credible. However, the example shared should be fairly inconsequential, unintentional, and a learned lesson should be gleaned from it. Moving ahead without group assistance while assigned to a group project meant to be collaborative is a good example.
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7 :: If you had enough money to retire would you?

Just be honest. If you would retire then say so. But since you can't retire, and the interviewer already knows this, simply answer that since you can't this is type of work you prefer doing. However, if you wouldn't retire if you had the money then explain why. Work is an important element of happiness for most people and many won't retire even when they can.
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8 :: Explain me what do you know about our company?

Bad Answer: They don't know much about the company. If a candidate is serious and enthusiastic, they should have done some basic research.

Good answer: An answer that shows they've really done their homework and know what the company does, any important current events that involve the company, and the work culture.
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9 :: How do you think your colleagues at your last job would describe you?

While your CV will say a lot about your work history In Analytics, the interviewer will most likely look for greater detail with questions such as this. Be positive about previous experience, highlighting your own strengths.
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10 :: How long do you want to work for us if we hire you?

Here being specific is probably not the best approach. You may consider responding, “I hope a very long time.” Or “As long as we're both happy with my performance.”
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11 :: Your client is upset with you for a mistake you made, how do you react?

Acknowledge their pain - empathize with them. Then apologize and offer a solution to fix the mistake.
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12 :: The change in the business industry now requires you to have a new set of skills you have to learn, how do you react to that?

First, find out which skills are the ones that you're currently lacking. Then identify what the steps would be to acquire/build those skills. Then take action to do so.
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13 :: What is your biggest weakness In Analytics?

No one likes to answer this question because it requires a very delicate balance. You simply can’t lie and say you don’t have one; you can’t trick the interviewer by offering up a personal weakness In Analytics that is really a strength (“Sometimes, I work too much and don’t maintain a work-life balance.”); and you shouldn’t be so honest that you throw yourself under the bus (“I’m not a morning person so I’m working on getting to the office on time.”)
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14 :: What five words would be describe you as Analytics?

The hiring manager requests this of you because she wants to know more about your individual personality. This list can reveal a lot to her about who you are and how you might fit into the workplace. Your answer also gives the manager an indication of your self-perception, which is a good indicator of the type of employee you will be.
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15 :: Top 13 Situational Interview Questions In Analytics:

Situational interviews In Analytics are similar to behavioral interview questions - but they are focused on the future, and ask hypothetical questions, whereas behavioral interview questions look at the past.

The advantage is that employers can put all candidates in the same hypothetical situations, and compare their answers.


1. What would you do if you made a strong recommendation in a meeting, but your colleagues decided against it?

2. How you would handle it if your team resisted a new idea or policy you introduced?

3. How would you handle it if the priorities for a project you were working on were suddenly changed?

4. What would you do if the work of an employee you managed didn't meet expectations?

5. What would you do if an important task was not up to standard, but the deadline to complete it had passed?

6. What steps would you take to make an important decision on the job In Analytics?

7. How would you handle a colleague you were unable to form a positive relationship with?

8. What would you do if you disagreed with the way a manager wanted you to handle a problem?

9. What would you do if you were assigned to work with a difficult client In Analytics?

10. What would you do if you worked hard on a solution to a problem, and your solution was criticized by your team?

11. How would you handle working closely with a colleague who was very different from you?

12. You're working on a key project that you can't complete, because you're waiting on work from a colleague. What do you do?

13. You realize that an early mistake in a project is going to put you behind deadline. What do you do?
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16 :: Can you tell me a little about yourself?

This question seems simple, so many people fail to prepare for it, but it's crucial. Here's the deal: Don't give your complete employment (or personal) history In Analytics. Instead give a pitch—one that’s concise and compelling and that shows exactly why you’re the right fit for the job. Start off with the 2-3 specific accomplishments or experiences that you most want the interviewer to know about, then wrap up talking about how that prior experience has positioned you for this specific role.
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17 :: What type of people do you not work well with?

Be very careful answering this question as most organization employ professionals with an array of personalities and characteristics. You don't want to give the impression that you're going to have problems working with anyone currently employed at the organization. If you through out anything trivial you're going to look like a whiner. Only disloyalty to the organization or lawbreaking should be on your list of personal characteristics of people you can't work with.
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18 :: What is your greatest strength In Analytics?

This is your time to shine. Just remember the interviewer is looking for work related strengths In Analytics. Mention a number of them such as being a good motivator, problem solver, performing well under pressure, being loyal, having a positive attitude, eager to learn, taking initiative, and attention to detail. Whichever you go for, be prepared to give examples that illustrate this particular skill.
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19 :: How do you believe you would benefit our organization?

This is a great question that provides you the opportunity to put your best foot forward, to tell the interviewer why he or she should consider hiring you for the job. Make sure you're well prepared for this question as you won't likely get a second chance to really shine.
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20 :: Tell me about a time when you had to make a decision without all the information you needed. How did you handle it In Analytics? Why? Were you happy with the outcome?

In many scenarios, you will not have all the information needed. The key is to make the best possible decision based on what you deem to be a sufficient amount of information.
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21 :: What qualities do you look for in a boss?

Remain optimistic and do not be too specific. Good attributes include moral character, honesty, and intelligence since managers usually believe they possess these qualities.
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22 :: Tell me about a time when you had to give someone difficult feedback In Analytics?

By asking this question, your interviewer hopes to learn whether you can communicate effectively, address issues in the workplace and motivate others during difficult times. Giving negative feedback requires honesty, thoughtfulness and tact. Answering this question well can help show an interviewer that you would be a good fit for a managerial position or a position that involves working closely with others.
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23 :: What can you offer us that someone else can not?

Bad Answer: Going negative - if the candidate starts trash talking other candidates, it's a sure sign of a bad attitude. Also, if they can't provide a solid answer, it may show that they lack thorough knowledge of the skills the job requires, and an understanding of where they fit in.

Good answer: The candidate can name specific skills, abilities or understandings they have that apply directly to the job that other candidates are unlikely to have, or are in short supply.
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24 :: How do you think you might fit this position In Analytics?

An important part of research before the interview is what the company does and how the job role relates to that. This includes the company philosophy and working methods. Questions such as this seek to find out how a candidate will fit into the organisation In Analytics. Answer positively; including practical examples of how you anticipate you would perform in the new role.
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25 :: Describe a time when you put your needs aside to help a co-worker understand a task. How did you assist them? What was the result?

The key is to show that the mentoring of a co-worker was first a higher priority than the task you had at hand (remember, you want to show that you focus on highest priority tasks first). Then, describe in detail how you helped them not only complete the task but learn to do it on their own. You want to teach them HOW to fish and not to simply fish for them.
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26 :: How do you handle your anger?

I don't get angry very easily but in the rare occasion that I do, I hold it in and act as though nothing is wrong.
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27 :: If you look at a clock and the time is 3:15, what's the angle between the hour and the minute hands?

Usually, if the answer to a brainteaser seems too easy, chances are the answer's wrong. And in this case, the answer is not zero degrees. The hour hand, remember, moves as well. That is, in addition to the minute hand. And so, at 3:15, the hour hand and the minute hand are not on top of each other. In fact, the hour hand has moved a quarter of the way between the 3 and 4. This means it's moved a quarter of 30 degrees (360 degrees divided by 12 equals 30). So the answer, to be exact, is seven and a half degrees (30 divided by four).
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28 :: What makes a product successful?

Basing on the monetization, these questions give you the chance to prove your personal try. Do not show extremely your optimism and pursue the unreality. Give your answers the reality.
It is useful to predict a five to ten- year- scenario of expectations in order to gain your targets that you set up and it is the period of time to see how your plans and targets are performed.
Therefore, the quality of the product and marketability of the mentioned industry need to be highlighted. This will help you to achieve the interviewer’s attention and insurance to you personality and you can get the honest and long- term goals.
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29 :: What are your salary requirements In Analytics?

The #1 rule of answering this question is doing your research on what you should be paid by using site like Global Guideline. You’ll likely come up with a range, and we recommend stating the highest number in that range that applies, based on your experience, education, and skills. Then, make sure the hiring manager knows that you're flexible. You're communicating that you know your skills are valuable, but that you want the job and are willing to negotiate.
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30 :: How many tennis balls can you fit into a limousine? 1,000? 10,000? 100,000? Seriously?

Well, seriously, you might get asked brainteaser questions like these, especially in quantitative jobs. But remember that the interviewer doesn’t necessarily want an exact number—he wants to make sure that you understand what’s being asked of you, and that you can set into motion a systematic and logical way to respond. So, just take a deep breath, and start thinking through the math. (Yes, it’s OK to ask for a pen and paper!)
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