Google business analysis vs MBB analytics role

Hi
I have offers from google for a business analysis role and also from a top tier consulting firm for an analytics role(though this role is a bit inferior than google's role, the difference is not a lot in terms of quality of work). My goal is to go for MBA in a quantitative discipline 1-2 years. I already have some experience in the online industry. Could you please advise which role I should go for ? My goal is to be a leader in a team that solves data-intensive problems(not sure about the industry yet)
Thanks!

 

"MBA in a quantitative discipline 1-2 years."

This makes very little sense...I think you need a clearer idea of what you want to do for us to give helpful advice. There's no such thing as an "quantitative" MBA...it's all the same degree (an MBA) and it's not a particularly quantitative degree. If you want a quantitative degree, there are other masters degree courses that will provide this. Furthermore, you need 4-5 years experience to get into a decent MBA program, none will accept you with 1-2 years experience.

 
OpsDude:

"MBA in a quantitative discipline 1-2 years."

This makes very little sense...I think you need a clearer idea of what you want to do for us to give helpful advice. There's no such thing as an "quantitative" MBA...it's all the same degree (an MBA) and it's not a particularly quantitative degree. If you want a quantitative degree, there are other masters degree courses that will provide this. Furthermore, you need 4-5 years experience to get into a decent MBA program, none will accept you with 1-2 years experience.

This simply isn't true. Everyone from my current organization that has pursued the MBA route has gotten into top (HBS/Booth/Sloan, etc) MBA programs with 2 years of experience (some closer to 18 months). 4-5 years of experience can be helpful for the right person, but it isn't nearly as extreme as you make this sound.

 

I actually already have about 2 years of work ex and was making a decision of whether to continue it in my present organisation(online startup) or switch into MBB/Google in analytics. The work ex would be 3+ years before i apply. By Quant MBA I meant that I will choose more electives which are quantitive in nature and put this fact across in my apps.

 

MBB will have more travel, Google may limit the types of companies/industries (i.e. you may be stuck in Tech & SV, which is fine if you are okary with that) which you could move your career to down the road.

"You are neither right nor wrong because the crowd disagrees with you. You are right because your data and reasoning are right." -Warren Buffett
 

I'll have to disagree with the above poster on the topic of travel. The analytics role at MBB is not your typical consultant role and they don't travel as much. A couple of my friends did similar roles at MBB and they barely had any travel. That said, OP can verify by requesting to speak with someone from the MBB firm. I know when I got my FT offer, they gave me the opportunity to speak with their consultants to learn more about the job.

Personally, I would go for Google. At MBB, you will always be considered sub-par because you won't be a strategy consultant. When applying for your MBA, it will be difficult to compete with other consultants. Whereas at Google, you can always spin a more interesting story. Just my 2 cents.

 

Google data analytics is top tier and very respected within Google, in technology and across industries. MBB analytics is not cutting edge nor as respected both within the firm and between industries.

Additionally Google offices and life style blow MBB out of the water.

Your choice is clear.

 

I agree with cibo. But having worked at both, I would like to add that MBB firms are a bit more professional than Google. Google has a "cool quotient" but not so professional. They have college drop outs at managerial levels, which sometimes create rough ends. Yes, it is not a necessity to have a college degree as long as one has can deliver, but a college degree (Esp. from a reputed school) brings in a fresh perspective and polishes your ways. Also, diversity of exposure is way higher at MBB. Google will have core tech and analytics skills, but when it comes to adding a tinge of business judgement in modifying analytical models - MBB has a legacy that Google is yet to create. Remember, diversity and professionalism are the hallmarks of MBB culture.

 

Thank you all for your responses! I understand that google is better in terms of analytics, but the role was sales ops analytics so it wasn't really what one might think when they think of analytics in google. I chose to go for the other role instead.Seemed like it was better at least in terms of networking.

 
Best Response

So i've interviewed at MBB and Google for their analytics roles a couple of years ago. MBB couldnt even get enough talent in house to put together a team so they had to hire a bunch of analytics guys from Accenture, retailers, and boutiques to fill their team. No one was originally from the firm except the partner who came up the normal path. They only really used SAS, which isnt bad but its not top of the line analytics either. Last month, my roommate interviewed at one of the other MBB firms, and they were only using SPSS which is a shitty program for analytics.

Google on the other hand told me the systems they used and all the different tools they have access to which is suffice to say top of the line (R,python, hadoop, NoSQL systems, shit they made in-house that doesnt even have a name yet). Keep in mind they were the creators of hadoop and much of the current Big Data technology. Most of the people I interviewed with had been at Google since they graduated college/grad school or were former consultants. They had many teams of data analysts and analysts were embedded into regular teams too (which sounds like the role you have).

Google knows it shit when it comes to data. MBB is like most corporations, OK, but meh when doing analtyics.

Also the quickest way to tell how good an analytics role is, is to check the requirements.

SAS and SQL, maybe matlab: Standard R, python, SQL and/or SAS: More up to date Anything else, e.g. excel, spss, minitab: Lols

Further: Regression and clustering: Standard SVM, Random Forests, natural language processing, plus above: More up to date Anything else, excel, using Google analytics/omiture, salesforce.com, etc. : LOLs.

 

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