Ranges from Excel Analysis Tools, math/probability/statistics fundamentals, business case, simple programming and some pure analytical thinking questions -- anything which will facilitate analysis.
Analytics Interviews
Analytics Interview Questions
"When you apply for a job in the field of analytics, you can expect to be asked technical questions and given math problems that will test your knowledge of statistical math and data management and analysis. The interviewer may test your critical thinking and decision making skills by having you solve word problems on the spot, as you will be expected to know how to gather insights into and draw conclusions from the data you collect on the job. Analytics is a broad field, and the technical questions you are asked will depend on the position you are applying for."
14,496 analytics interview questions shared by candidates
You have two trains heading for each other at rate x and y, you have a bird that flies at speed Z back and forth between the front of the heads, how far did the bird travel until the trains met.
Since I contacted via LinkedIn saying I'm interested in an internship, without actually applying any specific position, it was not quite clear to me what exactly I was interviewing for. I thought I was interviewing for data analytics, but he asked several web development questions. I'm actually fine with doing both, but didn't quite prepare well. The interviewer asked me whether I've used Backbone.js which I haven't. He asked a simply algorithm question (fibbonacci sequence) and I give two solutions. Then he asked a design question, which I immediately noticed a detail, but didn't give a systematic solution, because I was kind of nervous, and there was not enough time left.
Explain ... on your resume.
Could you please introduce yourself, how long have you worked in pharmaceutical industry? What experience do you have?
They asked me to describe specific steps of an enterprise SAS Install
How do you extract information from a table?
Types of Data structures and their real life examples.
Given a large sum of paywall data, how would you decide which paywalls have the best conversion rates and why?
I was asked different brain teasers and random statistical questions. Tell me about some non-normal distributions.
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