Global Data = Worst place to be - Anonymous employee Bloomberg Employee Review

1.0
Mar 22, 2019
Anonymous employee
Recommend
CEO approval
Business Outlook

Pros

Pantry & company benefits are very generous. People around you are very friendly. A great place to make friends

Cons

Where should I start.. Bad bad bad bad management. Global Data department is one of the worst department to be in. The branding and job description is attractive, with all the buzz words like "python", "big data", and align with the focus on data-driven world nowadays. BUT, your day to day job literally revolves around mainly manually inputting data into the terminal, or making sure vendors doesn't input wrong data into the terminal. They claim you get to learn "data-skills", but the reality is, even if you know python/SQL/R, you will get very limited channels to utilize & improve these hard skills. Plus, they now pay people with python/SQL/R skills higher than those people who don't have these hard skills, and WORST OF ALL, there's NO career path for people who want to learn these hard skills to improve in their careers. Global Data is seen as a cost-center in the company, and the whole department desperately needs to prove themselves to be worthy all the time. Thus, there is a huge emphasis on flashy quick "wins". It is not exaggerating that senior management puts emphasis on the quantity & list of wins the department can generate, rather than the quality of work (less errors in data) An example of a win that demonstrate the would be: helped out sales/news do their jobs. And whoever is able to pile up a huge list of these related wins will be evaluated favorably even if he/she doesn't do a good job maintaining the data quality. And those who does put in effort to make sure data quality is good will always be viewed as a liability because of the lack of wins Also, politics (mainly nepotism)... within one year, literally, some of the best & top leaders all was gone (either left the company or department). And to replace those roles, the top management just put in their own friends instead of really looking for the right person to lead. There's no career paths, and rumors around the company cutting costs seems to be proving true as they let a lot of long-term employees go without much explanations. Just a bad place to work

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5.0
Jun 25, 2026
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Pros

great company to work for

Cons

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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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