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.