Bloomberg Global Data Program reviews

4.1

69% would recommend to a friend

(118 total reviews)
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Michael R. Bloomberg and Vlad Kliatchko

81% approve of CEO

65% positive business outlook

Global Data Program employees have rated Bloomberg with 4.1 out of 5 stars, based on 118 company reviews on Glassdoor. This indicates that most Global Data Program professionals have an excellent working experience there. Bloomberg is rated in line with the average (within 1 standard deviation) by Global Data Program professionals compared to other employers within the Informationstechnologie industry (3.9 stars).

Reviews by job title

118 reviews
3.0
Oct 1, 2018
Recommend
CEO approval
Business Outlook

Pros

I will try to be as honest as possible - some of the pros are this is a really good place to start your career, especially if you want to make the jump to one of the big banks in a year or 2. Really good benefits as well - good base, free food, insurance fully covered and probably the best 401k match you will find out there(7.5%). New batch of kids out of college every few months start and all of global data is all young kids who end up becoming your good friends since there is nothing to do in the area. You can your time here to try to build up your tech skills or study for the CFA. Take the offer if you have contacts already in Global data that can honestly tell you about the team that the company want to place you in - it's a complete hit or miss and you want to make sure you don't get stuck for 18 months on a useless team wasting your time.

Cons

I mentioned they bring in a fresh batch of kids in every few months - There's a reason for that. The turnover is incredibly high and the reasons for these have been stated lengthily in the other reviews. Probably about 75% of the data teams are complete BS. Most of your job will be manually tagging data day in and day out cranking out work items. Then you will be assigned a block of time where you have to do troubleshooting for clients and their questions. Nobody can escape this, everyone who is an analyst has to do this. It can be manageable if you are on a big team where you might be assigned to do this once a week for a few hours to doing it multiple hours a day. The actual "data analysis" works probably comprises of a small part of your day unless you are an extremely motivated individual who stays in the office for an extra 10 hours a week to do these projects on your own. It is crucial that you find contacts within global data that can give you an honest picture of the data team that you get the offer for. There are some very good teams that are working on exciting projects under talented managers and if you get onto those teams then this should be an auto accept. One of the other things is that it is an unfortunate cycle where the talented folks quickly learn that they either got stiffed by a bad team/manager, or reached a professional/educational growth ceiling in their role. Since the management structure is extremely flat, these folks leave within 1-3 years. Because of this, the middle of the road analysts stay and end up becoming horrible managers. There are of course some amazing managers, but this is the exception not the rule.

2.0
May 15, 2018
Recommend
CEO approval
Business Outlook

Pros

- pay was very competitive - reputable name - free food in the pantry - modern office (London)

Cons

The work is excruciatingly mind-numbing. This is not data analysis, it's data entry. 3 types of candidates are hired for Global Data: 1) finance background - will quickly become bored because you're actually doing such a pigeon-holed task and only feel fulfilled by looking at the news or other parts of the terminal during free time 2) other educational background - these people are hired because of their language skills, which is one of the more important attributes for employees (need to read data points in every country); these people tend to stay the longest because they realise there aren't better-paying jobs elsewhere for their skillset. Other employers in The City are smart enough to know these people don't have transferrable skills from Bloomberg in finance 3) tech educational background - these types of people are increasingly being hired, and unfortunately are given tasks far below their technical capabilities. Suggestions for improvements fall on deaf ears and get muddled in politics. Innovation is led from NYC anyways. Don't be fooled by their pitch about machine learning, cutting edge tech opportunities, etc In the end, complacency will keep a certain % of employees because the pay is quite good, for the work being done. Note on other common entry-positions: While everyone says Global Data > Analytics because of less stressful workflow, at least Analytics has opportunity to move into Sales, where you can feel less like a lemming (and earn more money). A word of caution- you will need to embellish the responsibilities you had while at Bloomberg, once you get fed up enough and decide to interview for opportunities elsewhere.

3.0
Mar 15, 2018
Recommend
CEO approval
Business Outlook

Pros

Vitality Health Insurance Pantry Food State of the art equipment

Cons

Fake transparency Too many decision layers Extremely high turnover

Viewing 70 - 72 of 118 Reviews

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