It really depends on if you want to be a player or a supporter professional - Help Desk Analyst Bloomberg Employee Review

2.0
May 4, 2013
Recommend
CEO approval
Business Outlook

Pros

Initial Salary is attractive, free food and work-life balance (you literally work 8 hours at the Help Desk, at sales department is much more)

Cons

-The company culture is fine but the Help Desk role is extremely exhausting and sometimes really unfair once other people evaluate the quality of your answers you provide to clients (you have to speak to 3 clients at the same time in different languages). -Wrongly bad quality grades are often given to your chats and that really affects your promotion within the company. -At the interview they promote the idea of developing an international career although it won't happen that easy. -Once you go to sales there is no higher position to grow in the company, all you can do is moving through the departments selling different products, always in the same hierarchy position.

Explore other reviews about Bloomberg

5.0
Jun 11, 2026
Recommend
CEO approval
Business Outlook

Pros

Great company, in this role you have the chance to learn about the financial markets, the terminal, and also you get client exposure.

Cons

Not really cons, culture is great.

4.0
Jun 28, 2026
Recommend
CEO approval
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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