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      Bloomberg

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      Bloomberg reviews

      Sales - Sales Representative Bloomberg Employee Review

      3.0
      Aug 25, 2015
      Sales representative
      Recommend
      CEO approval
      Business Outlook

      Pros

      Learn lots Nice people Good hours Free food Great summer party

      Cons

      Chronic micro management - to progress ahead it all depends on how much your manager likes you instead of how you perform. If your personality is suited towards brown nosing / sucking up to your boss, then you will do well. If not, then your time in sales will be limited - regardless of your ability. Politics on steroids - every office has politics, but in Sales at Bloomberg it is like politics on steroids. If you're chummy with the right people, you'll be fine - if not, you'll be sleeping with the fish.

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      5.0
      Jul 8, 2026
      Finance analyst
      Recommend
      CEO approval
      Business Outlook

      Pros

      good pay, great team, lots of experience gained

      Cons

      mundane tasks sometimes, can be competitive

      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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