ANALYTICS(HELPDESK) is a CLIENT SERVICE position ( via chat and phone) - Financial Sales and Analytics Bloomberg Employee Review

3.0
Jul 1, 2014
Recommend
CEO approval
Business Outlook

Pros

Good benefits, very nice office and pantry. Most of the people you work with are very friendly and nice . Good training on how to use Bloomberg efficiently

Cons

- Analytics title and job description can be misleading - Most days involve sitting on a chair in front of 4 screens for 8- 9 hours a day and chatting with 3 -4 clients at a time helping them troubleshoot excel, giving out names of pages they can look for information - you are evaluated by how fast you answer questions, how many phone calls you make etc - your team managers rarely answer client chats themselves but are responsible for making sure you do as much as possible in the assigned time so many employees in this department can end up feel like burnt out machines - Some days can be very demanding/ draining with no breaks in between - due to nature of the job you will be told which hour to eat lunch and will need to ask permission to schedule time spent doing anything else but answering chats and phone calls ( example projects) - there is constant monitoring of everything you do - The skills you learn are only specific to bloomberg - You will most likely stay in this position on help desk(analytics) between 1.5 upto 3 YRS then the most common career path is sales - turnover rate is quite high as many people do not realize exactly what the job involves when they sign up - Low morale in this department

Explore other reviews about Bloomberg

5.0
May 6, 2026
Recommend
CEO approval
Business Outlook

Pros

Great place to work if you are looking for work life balance

Cons

The data department has very limited growth opportunities

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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