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Mckinsey Data Analyst Interview | Day 27

Day 27 – Mckinsey Data Analyst Interview

Mckinsey& Company has earned a big name in the list of management consulting firms. They provide advice on strategic management to corporations, governments and other organizations, and has become the “biggest pure consulting firm in the world”.

Lets get to – Mckinsey Data Analyst Interview

Mckinsey Data Analyst Interview

If you preparing for a Data Science Interview there, the following questions need to get solved by your skills. It will also make you understand what is expected from Mckinsey’s employees.

These might not be the exact questions asked there, but the questions are just from their neighbourhood.

Round details are below

Round 1 – Telephonic Conversation
Round 2 – Walk-in/Face to Face
Round 3 – Project Analysis
Round 4 – Case Studies and hiring manager round

Difficulty of Questions

SQL – 7/10 (Try to solve more interview questions from this website)
R/Python – 7/10 (Revise the basics of data structure)
Statistics/ML – 8/10 – A good hand on statistics was required for this position
Case Study – Basic, you can practice a lot of case studies and other statistics topics here –

Highest Temperature’
Cause vs Correlation
10 Million Data Points
Mean Imputation
Biased Coin
Imbalanced Dataset
Clustering Algorithm
Practical Problem

Try to solve these questions, other members will evaluate your answer and provide sufficient support.

Big Basket
JP Morgan\
Accenture Interview –
Deloitte –
Amazon –
Myntra –
Box8 –
Flipkart –

Affine Analytics –

Data Science interview questions

If you want any guidance or want to make a career in Data Science, then you can take a look on our proposed Data science path

Connect with us on Linkedin for latest updates and Data Science e-books giveaways- Nitin Kamal (Co-Founder, The Data Monk)

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Dhruv Garg

About TheDataMonkMaster

I am the Co-Founder of The Data Monk. I have a total of 4+ years of analytics experience with 3+ years at Mu Sigma and 1 year at OYO. I am an active trader and a logically sarcastic idiot :)

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