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Get interviewed in Best Analytics Companies-2022

Interview at Analytics Companies
Here we have a list of Top 50 Companies with Analytics Opportunities. We are not including FAANG and will concentrate more on the Indian market. By Analytics we mean a position or opening in one or more of the following domains:-

Data Analyst
Business Analyst
Data Scientist
Applied Data Scientist
Product Analyst
Decision Scientist
Machine Learning Engineers

Here are the Top 50 Companies with Analytics Opportunities.

There are majorly three ways to get a call from these companies:-
1. Job Portal like Naukri, Monster, iimjobs, etc
2. Referrals
3. Career page

Strategy to get call from these companies:-

1. If you are lucky enough to have a couple of ML projects under your belt, then it’s good. Else, just find some good video on youtube. It might not be near to the real life problem but anyways you do not have any other option

2. Don’t invest plethora of time on making a 2000 page long resume. No one reads, not even HR. Make a decent 2 pager

3. Work on these skills only for the first 3-5 years – SQL, Python, Regression Models, Time Series Model, Statistics, and Natural Language processing. If time permits, look into AWS service

4. Create your account on as early as possible and keep updating it every 2-3 days

5. If you are not getting any calls, I would suggest you to take their 3 months plan. This might work for you. I think it costs around 600-800 for a total of 3 months

6. No need for Linkedin Premium. Don’t waste that money

7. Apply to all the relevant job in the Jobs section of Linkedin, this works better than other websites

8. If you are comfortable with start-ups (You should be by the way), create your account on hirist and iimjobs

9. You won’t find a lot of top-notch companies on the job portal. They either take only referrals or follow their career page religiously. It takes time to apply for each of these jobs, but do it. Do it in patches

10. Enough of applying, now solve questions. Target the following:-
400 SQL Questions
50 R Questions
300 Python Questions
200 Statistics Questions
100 Case Studies and Guesstimates
400 Machine Learning and Data Science questions mixed with knowledge of statistics

In total you should solve anywhere between 1500-2000 questions before you transition yourself from a beginner to a good candidate in any Analytics interview

We have provided you the road map, we have provided you the resource.
We have also provided you with 1500+ questions on the portal with around 1200 correctly answered.
All you need is to bookmark these pages and keep coming back to it. Solve 20 questions a day.

At a speed of 20 Questions a day you will be 2000 Questions strong in next 100 days. Each question will take around 5 mins, thus 100 minutes a day for 100 days.

Plus you can also look at our 10 e-book bundle which covers 1400 mostly asked questions(Information at the end of the page)

Coming back to the topic

All these are top notch companies, so getting a call is just the start, indeed a good one. But you need to practice a lot. So, keep looking for questions and materials from Youtube, Medium, Analytics Vidhya, etc.
If you like our content, you can create your account and answer the shared questions or you can read the answers and articles curated by our team

Top 50 Companies with Analytics Opportunities.

  1. Sales Force
  2. Postman
  3. Walmart
  4. Sapient
  5. Codenation
  6. Directi
  7. Rubrik
  9. BnY Mellon
  10. Sprinkler
  11. Uber
  12. Atlassian
  13. Flipkart
  14. Goldman Sachs
  15. DE Shaw
  16. Arcesium
  17. Microsoft
  18. Tower Research
  19. Sumlogic
  20. Intuit
  21. Cred
  22. Groww
  23. Meesho
  24. PharmEasy
  25. Share Chat
  26. GupShup
  27. Dream11
  28. Urban Company
  29. Acko
  30. Razor Pay
  32. Ixigo
  33. Gojek
  34. Nucleus
  35. OYO Rooms
  36. Ola
  37. Adobe
  38. Expedia
  39. Cisco
  40. Samsung
  41. Goibibo
  42. PayPal
  43. PayTm
  44. Linkedin
  45. Qualcomm
  46. Informatica
  47. Mu Sigma
  48. Schlumberger
  49. Synopsys
  50. ZS

There are definitely more good and growing companies. This is just a check list, when you start your job hunt make sure to check these.

We have not included FAANG and Service based companies (apart from Mu-Sigma). But, there are a few Service based companies like The Math Company, Tredence, Dunnhumby, etc. which are doing really good and have challenging work

The Data Monk e-books

Tired of online courses costing 2 to 8 lakh and taking more than a year to complete?
Tired of going through 500+ hours of videos at a super slow pace?
We at The Data Monk believe that you have to start and complete things as quickly as possible. We believe in a target-based study where we break a topic into 100 questions and make sure that if you cover these questions you will surely be able to crack the interview questions. Rest all theory and practical can ONLY be learned while working in an organization.

Pick any of our books from our e-shop page and complete it in 6-8 hours, learn the 100 questions and write it in your resume. We guarantee you that you will nail 8 out of 10 interviews

We also have 3 bundles at a price that is affordable to everyone. We are a group of people placed in best of the product-based companies and we take 100+ interviews per week. Do we know what is being asked and what is not? So, just grab any of the following book bundles and give not more than 30 days to LEARN all the questions. We guarantee you that you will become a very strong candidate in any analytics interview

Set A – [3rd/4th year/ and 0 to 3 years of experience]

Crack any analytics or data science interview with our 1400+ interview questions which focus on multiple domains i.e. SQL, R, Python, Machine Learning, Statistics, and Visualization. –

Set B – [0-5 Years of Experience]

1200+ Interview Questions on all the important Machine Learning algorithms (including complete Python code) Ada Boost, CNN, ANN, Forecasting (ARIMA, SARIMA, ARIMAX), Clustering, LSTM, SVM, Linear Regression, Logistic Regression, Sentiment Analysis, NLP, K-Mean –

Set C – [0-7 Years of Experience]

2000+ interview questions that include 100 questions each on 12 most asked Machine Learning Algorithms, Python, Numpy and Pandas – 300 Interview Questions, Pandas,PCA,AWS,Data Preprocessing,Case Studies, and many more

Note – Set C contains all the questions of Set B

Interview at Analytics Companies

Youtube Channel – The Data Monk

Unlike any other youtube channel, we do not teach basic stuff, we teach only topics that are asked in interviews. If the interviewer asks about p-value, we will have a video on that topic,
If the interviewer is interested in asking the sequence of execution of SQL commands then we will give you an overview of all the commands but stress so much on the question that can answer it comfortably in the interview. We definitely recommend you to follow our youtube channel for any topic that you are interested in or weak at

If you wish to get all the study material and topics to cover for an interview at one place, then you can subscribe to our channel. We have covered the complete syllabus of
Get all the youtube videos playlist on our youtube Channel – The Data Monk

Code in Python for Data Science – Understand one algorithm at a time in 30 minutes (theory and python code)
Company-wise Data Science Interview Questions – 15 videos on how to crack analytics interview
Complete Numpy Tutorial – 14 videos on all the functions and questions on Numpy
Complete Python Pandas Tutorial – 15 videos to completely cover Pandas
SQL Complete Playlist – 20 highly recommended videos to cover all the interview questions
Case Study and Guesstimates Complete Playlist –  Real-life interview case study asked in 2021
Statistics– 10 videos to completely cover Statistics for interviews

If you are in dire need of any help, be it book-wise or guidance-wise, then you can definitely connect with me on Linkedin. We will try to help as much as possible

About TheDataMonkGrand Master

I am the Co-Founder of The Data Monk. I have a total of 6+ years of analytics experience 3+ years at Mu Sigma 2 years at OYO 1 year and counting at The Data Monk I am an active trader and a logically sarcastic idiot :)

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