Category Archives for "Interview Corner"

Oct 23

Interview Questions for Analytics Managers

By ganpati | Interview Corner

Here is a collection of interview questions for analytic managers:

1. Have you managed any project in past where you were responsible for all deliveries?
2. What does it mean by “paying attention to details”?
3. How would I validate the data for integrity of results?
4. How would I resolve the issue with the data integrity when receiving the files with the data from the clients?
5. How would you proceed if you were hired – how would you spend your first three months?
6. How would you handle a situation where there is no documentation in the department and there are two analysts, who are here for a long time have everything they learned in their heads?
7. There are a lot of reports scattered around sent by email, in folders etc. How would you resolve the issue?
8. We are moving from one of the current reporting platforms, what would you implement as a new platform that would centralize reporting.
9. How will you select between Tableau that it allows the user to connect to all data sources, compared to Power BI?
10. Tell me about a time when you had to change expectations from someone on the team.
11. Please model out a predictive analytics solution on a pattern of price fluctuations for Generic drugs over the course of 2 years using secondary data sources that are public knowledge.
12. Describe your greatest contribution to your current job role?
13. Describe how your current role impacted the company with respect to sales support, customer satisfaction, efficiency in operations/process, etc.
14. How would you envision revenues trend at the time of product launch?
15. How would you describe yourself as a manager? What do you think motivates people?
16. How do you feel about working on teams that were spread out not just geographically but socially.
17. Describe your experience implementing a web analytics package.
18. You need to train and mentor Quality and development personnel, how are you planning to do so
19. How do you handle multiple projects.
20. What excites you about your current job?
21. Why do you want to switch out of your current job?

Sep 11

Every Data Science Interview Boiled Down To Five Basic Questions

By Ani Rud | Interview Corner

Fastcompany
By Roger Huang

Data science interviews are daunting, complicated gauntlets for many. But despite the ways they’re evolving, the technical portion of the typical data science interview tends to be pretty predictable. The questions most candidates face usually cover behavior, mathematics, statistics, coding, and scenarios. However they differ in their particulars, those questions may be easier to answer if you can identify which bucket each one falls into. Here’s a breakdown, and what you can do to prepare.

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Aug 14

Data Analyst Interview Questions

By ganpati | Interview Corner

Are you passionate about gleaning insights from databases, organizing and analyzing large datasets to provide recommendations that help build product and website experience? Excellent communication and technical skills are essential in order to generate the right data and access information from various data sources. Here are some common interview questions frequently asked in data analyst interviews to assess the basic skills of the analysts.

Questions on how to perform data analysis

List down the steps you follow for designing a data-driven model to address a business problem?
What steps will you take to check the sanctity of the data that you are analyzing?
Describe different pre-processing steps that you might carry out on data before using them to train a model.
How will you describe certain models as simple and others as complex? What are the relative strengths and weaknesses of choosing a more complex model over a simpler one?
How do you define ensemble models and what are some advantages of combining models?
What is dimensionality reduction? What are some ways to perform this and why is it important?
How can you overcome Overfitting?
Differentiate between wide and tall data formats?

Questions on basic ideas in statistics, probability and machine learning

What is a confidence interval and why is it useful?
What is the difference between statistical independence and correlation?
What is conditional probability? What is Bayes’ Theorem? Why is it useful in practice?
Suppose we are training a model using a particular optimization procedure such as stochastic gradient descent. How do we know if we are converging to a solution? If a training procedure converges will it always result in the best possible solution?
How do we know if we have collected enough data to train a model?
Explain why we have training, test and validation data sets and how they are used effectively?
What is clustering? Give an example algorithm that performs clustering. How can we know whether we obtained decent clusters? How might we estimate a good number of clusters to use with our data?
We often say that correlation does not imply causation. What does this mean?
What is the difference between unsupervised and supervised learning?
Describe the concepts of regression and classification and the situations when they are used?
Explain the bias-variance trade-off in statistical models and how does it affect our data analysis?
What is over-fitting? How is this related to the bias-variance trade-off? What is regularization? Give some examples of regularization in models.
Suppose we want to train a binary classifier and one class is very rare. Give an example of such a problem. How should we train this model? What metrics should we use to measure performance?
How many unique subsets of n different objects can we make?
How would you build a data-driven recommender system? What are the limitations of this approach?
(Tools, visualization and presentation)

In which environment(s) do you usually run your analyses?
Describe your experience in working with data from databases. Are you familiar with SQL?
What visualization tools (Tableau, D3.js, R and so on) have you used?
Do you have a presentation you can show us, such as on SlideShare?
Do you have experience presenting reports and findings directly to senior management in your previous roles?
Are you comfortable speaking in public? Have you ever presented a technical topic to a large audience?

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