Hey,
Do generalists MBB consultants use Python or Sql at all to build models, sort data, analyse data etc?
is this a skill worth learning?
Cheers,
Hey,
Do generalists MBB consultants use Python or Sql at all to build models, sort data, analyse data etc?
is this a skill worth learning?
Cheers,
Can confirm that we don't use either at Bain - but we have an "advanced analytics group" that will help with big data/complicated analysis.
What we do use, to an increasing degree, are Tableau (data visualisation software) and alteryx (which is a "user-friendly" data analysis tool for large/complicated data sets). Alteryx has much of the functionality of Python (with less flexibility), but is designed to be used by non-techy people - see a demo here: https://www.youtube.com/watch?v=FptWsowYkIM
I do know that at Oliver Wyman Middle East they do teach the generalist consultants how to use SQL, and even have some training classes to use Python. The truth is that Excel is increasingly not sufficient to meet data crunching/processing needs, so firms need to evolve by moving towards more powerful tools.
Hi,
Best!
No! Python/SQL is not used by generalist consultants. This is the domain of data scientists, which are more and more supporting day-to-day work of the project teams (on- and off-site) in firms like McK and BCG.
Cheers, Sidi
Hi,
I agree with Vlad - most of the generalist consultants don’t use SQL or Python, however if you have this skill this may indeed get you great reviews.
BUT (I’ve seen this not in MBB but in other firms - it may be true for MBB however): You do run the risk of becoming THE SQL / Python guy, who is staffed on purpose on projects where these skills are needed. So if you decide to learn this skill and specialise in it, make sure you either like becoming the expert or actively address this issue with your staffer.
Best
Hello!
In McKinsey, we used Excel 99.5% of the cases -the Advance Analytics hub took care of the more difficult stuff-.
In Amazon however, people regularly know SQL on top of Excel.
Hope it helps!
Cheers,
Clara