Global Data Analyst - Global Data Analyst Bloomberg Employee Review

4.0
Nov 30, 2016
Recommend
CEO approval
Business Outlook

Pros

- really cool and smart people from all around the world; - very good benefits (life&health insurance / discounts / pantry / retirement program); - lots of technology used on every day basis = you must learn it = you develop your skills (at least in the first 1-2 yrs); - no pressure for overtime or crazy DDLs = work-life balance; - philanthropy events and volunteering during working hour; - most managers are smart and take care of the teams they manage, but often pressured to innovate or change something which works good, just because someone much higher thinks differently; - really huge knowledge bank of internal and external training resources: at least for Global Data people;

Cons

- some teams within the same department do quite sophisticated work, while others "copy-paste" - if you apply for a job ask lots of questions on what exactly you're going to do and what tools/software you'll use/need to learn; - inconsistent pay across company and further salary increases that are not as high as in this industry for people with that knowledge of data management and understanding of financial markets; - unless you really push for it, it is hard to develop yourself in a long term (+3 years) without changing the department or becoming a manager;

Explore other reviews about Bloomberg

5.0
Apr 22, 2026
Recommend
CEO approval
Business Outlook

Pros

Great culture, benefits, pay, and work-life balance

Cons

The technical challenges can be a bit stagnant. You learn to deal with people rather than systems

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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