The Good and the Bad - Analytics -> Sales - Mitarbeiter (anonym) bei Bloomberg: Mitarbeiterbewertung

3,0
11. Juli 2018
Mitarbeiter (anonym)
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CEO-Befürwortung
Geschäftsprognose

Pros

- Nearly free healthcare/dental/vision - Paid Time Off and fixed 8hr+1 workday - Fully stocked pantry/free dinner - Educational benefits (tuition and prof dev reimbursement) - Annual Picnic - Dedication to philanthropy - Excellent offices/location - Dedication to training their employees in Bloomberg product

Kontras

- Analytics/Sales day-to-day job is very reactive, short-term, and task-based. There is no ability to see a project through from end to end. - Everything from communication to productivity is monitored and micromanaged by middle managers - While the company espouses transparency, there is no transparency when it comes to compensation and career progression - Career progression is solely based on business need and not on the strengths of the employee - Non-transferable skills to outside of Bloomberg (you get trapped in the Bloomberg bubble) - Promotions/Internal job changes with higher responsibility do not translate into higher compensation - More senior people at the company are the middle of the pack. Top talent find opportunities elsewhere with the education Bloomberg provides. Underperformers are weeded out through constant changes in departments and not being compensated well.

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5,0
11. Juni 2026
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CEO-Befürwortung
Geschäftsprognose

Pros

Great company, in this role you have the chance to learn about the financial markets, the terminal, and also you get client exposure.

Kontras

Not really cons, culture is great.

4,0
28. Juni 2026
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CEO-Befürwortung
Geschäftsprognose

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.

Kontras

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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