Great training ground - Sales Bloomberg Employee Review

3.0
Mar 26, 2019
Recommend
CEO approval
Business Outlook

Pros

- everyone is generally very willing to help each other - good working hours - generous insurance scheme and 401K - generous pay rises if you perform

Cons

- too many unnecessary fluffy sharing meetings, trainings and townhalls taking employees' time away from doing actual work - unreasonable sales targets and distribution of accounts, some sales people hit their sales target mainly based on growth accounts - lack of career advancement - lack of longevity, the longer you are there, the more likely you'll be pushed out

Explore other reviews about Bloomberg

5.0
Jul 14, 2026
Recommend
CEO approval
Business Outlook

Pros

Good culture on most teams

Cons

Slow career progress in most cases

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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