Good starter for career - Data Analyst 2 Bloomberg Employee Review

4.0
25 Jul 2023
Recommend
CEO approval
Business outlook

Pros

Free food, snacks, benefits (401k), smart colleagues, offices look nice, the opportunity is what you make it

Cons

Management is not meant to manage at times and are there purely because they stayed long enough. Hr is to protect interests of company as they do not take action to fire people with harassment history. Managers purposely plan to overwork you (bickering over the right way to phrase the ask to employees to not get sued) and company is in lawsuit right now for theft of unpaid wages. If you work overtime, they do not pay 1.5 but at diminishing rate so you can be working 5-7 hours more a day at less than half of what you make in an hour.

Explore other reviews about Bloomberg

5.0
30 Jun 2026
Recommend
CEO approval
Business outlook

Pros

Great compensation, work life balance

Cons

4 days a week on site

4.0
28 Jun 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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