Sales and Analytics - Anonymous employee Bloomberg Employee Review

2.0
Apr 30, 2017
Anonymous employee
Recommend
CEO approval
Business Outlook

Pros

Perfect Introduction to finance and the markets. Cross-asset training is encouraged throughout your time in analytics or sales. Great benefits and employee care in a social sense

Cons

Poor management in analytics. Not good at managing flow and preferences in moving from analytics to sales. Poor bonus culture, no commission structure in sales. Core terminal sales revenue model looks outdated and travelling expenses are ridiculous. You should travel because you can book valuable meetings. Not book useless, repetitive meetings because you have to travel 3 times a month

Explore other reviews about Bloomberg

5.0
Jun 22, 2026
Recommend
CEO approval
Business Outlook

Pros

Good management + good people + work life balance

Cons

NA - can be stressful

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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