Global Data Will Fail - Market Data Analyst Bloomberg Employee Review

2.0
Sep 29, 2018
Recommend
Business Outlook

Pros

Nice Pantry, 50% 401k match, average pay, flexible hours for Data teams.

Cons

Benefits falling behind and Bloomberg is starting to take away their nice benefits. I feel like management is too young and inexperienced. Thus direction is poorly managed. If you go to data you make sure the left screen matches the right screen. Very manual and monotonous. I feel like you could go into tech if people like you. Seems like its not based off of skill. Bloomberg Intelligence is more financed based. But seems very stressful. I hear they are giving out packages to senior employees. Moral is very low. They are bringing in many new people but with moral low and experienced highers leaving. I believe that Global Data will take a massive hit in market share.

Explore other reviews about Bloomberg

5.0
Jun 11, 2026
Recommend
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
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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