Mckinsey Data Analyst Interview – Updated 2022
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
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 –
https://thedatamonk.com/data-science-resources/
Probability
Highest Temperature’
Cause vs Correlation
10 Million Data Points
Mean Imputation
Biased Coin
Imbalanced Dataset
Clustering Algorithm
Practical Problem
Webcrawler
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