Data Analyst - Global Data Analyst Bloomberg Employee Review

2.0
Jan 8, 2017
Recommend
Business Outlook

Pros

Good Benefits (Insurance, Free Lunch) Good Hours (Ability to start within a given time range and leave withing a given time range)

Cons

Lack of Career Growth Monotonous work Constantly changing technology that are never used. Spend weeks working to implement new technology and structure only for the structure to change when the work is completed. Changing technologies are almost impossible as some systems are decades old and have dependencies that seem like they will never be changed Projects are given without scoping out possibilities and dependencies. Decisions are made from the top level without an understanding of what is actually possible. Made based on what management think will work Very little communication between Data and R&D side both which have completely different understanding of systems and time allocated. Makes joint projects very difficult especially when Data pushes one thing which R&D says is impossible

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5.0
Jun 25, 2026
Recommend
Business Outlook

Pros

great company to work for

Cons

I cant think of any ons

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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