Analytics and sales program - Recensione dipendente - Analytics presso Bloomberg

4,0
2 mar 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

great place to start. good support in the beginning where you learn a lot about the industry and make good friends along the way. they do give you opportunities to move into different roles internally that may interest you more, but you may have to fight hard for them now. great benefits.

Svantaggi

dont get me wrong i love the job, but things have changed a lot in these 4 years. there is a bloomberg stigma when trying to pivot to other jobs outside. you end up feeling like a cog in the system that can be replaced eventually since they are constantly hiring and implementing new ai. you cannot negotiate anything about salary or have a valid reason as to why youre falling behind on metrics. if you stay the course onto sales, you just cant have many obligations at home and sign up to travel every other week. In sales, you do get to fly first class and have all expenses paid, but after 6 months the honeymoon phase drains the life out of you and you realize its not all that great to fly away for 4 day weekday trip for work when you have a family back home. if youre a single person who doesnt care and wants to be a free bird, the role is great and you can make decent money, but ive seen those people also wither and fallout of the role to do something else. lately they have been pushing a lot of good people out when they never had to do that.

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5,0
25 giu 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

great company to work for

Svantaggi

I cant think of any ons

4,0
28 giu 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

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.

Svantaggi

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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