Great training. Have to get out early or be willing to stay at Bloomberg for the long haul to be happy. - Recensione dipendente - Sales and Analytics presso Bloomberg

3,0
30 lug 2014
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Great training, benefits and reasonable hours. Lots of smart, hard working blue collar types who are willing to invest their time into helping colleagues learn.

Svantaggi

Your experience can vary a great deal depending on the skills and leadership of your manager. Their is high turnover in the Sales and Analytics program and generally morale is low. It is easy to feel replaceable covering a sell side bank and your input does little to impact client decisions.

Esplora altre recensioni su Bloomberg

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

Vantaggi

Great compensation, work life balance

Svantaggi

4 days a week on site

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.

Vedi recensioni per: Utile|Valutazione|Data|Tutto