Political and Micro-management - Analytics Bloomberg Employee Review

1.0
Dec 10, 2024
Recommend
Business Outlook

Pros

People are fun, Pay is decent for a graduate role, Pantry is the best

Cons

1) Helpdesk There are different layers to this, the first being this is a helpdesk job. Its fine if you are just doing helpdesk, but doing well in helpdesk doesnt even guarantee you high raises - you still have to do a lot of side projects and DEI activities (which I may argue is more important than doing your actual job well) While the primary goal is to prepare you for sales, it is simply not guaranteed and this lead me to point 2) Political 2) Political The office is not big (suprisingly) and it doesn’t actually matter how well you do in your job- as long as they like you, you will go to wherever you want. It is NOT merit based no matter how you look at it. Not a con if you can play the game, but if you just want to do your work well and not be political, sadly it will not be rewarded 3) Bonuses Youre looking at base salary and thinking that they pay well, but in actual fact bonuses are so low that when you take total compensation, it doesnt even amount to much (compared with other competitors)

Explore other reviews about Bloomberg

5.0
Apr 22, 2026
Recommend
Business Outlook

Pros

Great culture, benefits, pay, and work-life balance

Cons

The technical challenges can be a bit stagnant. You learn to deal with people rather than systems

4.0
Jun 28, 2026
Recommend
Business Outlook

Pros

Opportunities to do lots of work with data and finance to apply knowledge in both programming and Subject-Matter Expertise (SME). Excellent Work-Life Balance (WLB) and extremely welcoming culture. You can reach out to anyone for help or just to talk, and they will get back to you (although management does require more scheduling in advance). Generous compensation (good wage) and benefits, including housing for interns. If you heard the rumors that the Bloomberg Princeton office has a great Bloomberg Pantry (read: company-provided breakfast and lunch), the rumors are true.

Cons

Not the place for those looking for cutting-edge AI. The company is not as fast with AI as the company prioritizes reliability and accuracy above all, and much of AI is not at an acceptable threshold for management to be willing to take that risk with financial data (at least in 2026). You may get a project to automate menial processes, which is really cool, but that tends to involve actually doing the menial processes, which feels unproductive. Princeton office is good but New York is considered preferable. Coworkers are not very reachable outside of work hours. Compensation is low in Data compared to Software Engineers.

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