Analytics, dead-end - Analytics Bloomberg Employee Review

2.0
Jan 10, 2014
Recommend
CEO approval
Business Outlook

Pros

- Great training - Good use of terminal (for free!) - Good work/life balance - Good benefits - Decent compensation

Cons

- Poor upper management (really poor) - Immature work environment, lots of "contests", breeds children, not adults - Above results in no pride in job, and thus very low morale (counterproductive, backfires) - Quality of hires is very low to prevent "flight-cases" (word used by management) - Management evaluates not relative to peers, but relative to your own past performance (makes no sense: if you are better than your peers, but you are not as good as you were last year, your compensation will be impacted negatively) - No room for growth within department, lots of red tape to get promoted - Tendency to hire externally for jobs that would be better done by internal employees (ie, product managers are all external hires, but that leads to very one-dimensional product enhancements that only serve what that person wanted in their past role, they do this instead of letting sales/analytics into the role despite the interaction those departments have with clients of a broad spectrum on a daily basis) - Another reviewer put this best: There are a lot of parasites that have been grandfathered in. They have been in the company during it's largest growth periods and have very minor skillsets. They just rotate every 2 years into high paying fluff roles that don't add much value. For example, we have a "training content management team" that consists of 10+ year veterans. All they do is book rooms for trainings and schedule them. There are at least 4 per region. - Inefficient use of funds: We splurge on very odd things such as people walking around on the 6th floor with trays to hand out snacks (essentially servants). We also book all of our re This was a bit detailed.

Explore other reviews about Bloomberg

5.0
Apr 22, 2026
Recommend
CEO approval
Business Outlook

Pros

Great culture, benefits, pay, and work-life balance

Cons

The technical challenges can be a bit stagnant. You learn to deal with people rather than systems

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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