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      Bloomberg

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      Bloomberg reviews

      Decent Pay but limited bonus - Sales & Analytics Bloomberg Employee Review

      4.0
      Feb 6, 2022
      Sales & analytics
      Recommend
      CEO approval
      Business Outlook

      Pros

      stable and annual salary increase that is around 7% pe r year(in the case of average performance) and for top performer may get 12-15% good insurance free food and drink good training

      Cons

      limited bonus(close to 1 month's salary), 1 extra hour of working per day(although contract wise it says 8 hours and if exceed 8 hours need manager's approval which is ironic cuz everyone is expected to work 9 hours from day 1 and i never see those "approvals" No flexibility at all. you have to "mark" what you need to do every single hour! for example 8-9 internal meeting, 9-12 help client's inquiries, 12-13 lunch etc.

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      5.0
      Jun 1, 2026
      Analyst
      Recommend
      CEO approval
      Business Outlook

      Pros

      Free food, good salary, incredible Pro Bono opportunities

      Cons

      Lack of flexibility around RTO policy

      4.0
      Jun 28, 2026
      Data management professional internship
      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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