The worst experience in my career - please AVOID Analytics my friend - Analytics Bloomberg Employee Review

1.0
Mar 28, 2025
Recommend
CEO approval
Business Outlook

Pros

* Work-life balance (the sharp 6 pm finish) * Amazing pantry with unlimited snacks and drinks * Great perks and private insurance are available * The majority of colleagues are nice and talented * Relatively good salary for new grad

Cons

* Micromanagement? 1)Your schedule is always pre-determined 2 weeks in advance by the scheduler (usually are the managers) on behalf of you, meaning your lunch break time varies from day to day, and you may not even have any OFF helpdesk break time if you don't get well with the scheduler; 2)No option to WFH for the first 6 months because they don’t trust you; 3)Your toilet break time is counted as a part of your “efficiency” metrics; 4)some language groups face an excessively bureaucratic process for booking annual leave, requiring approvals from 3 different managers that can take 2 weeks. * The job itself? 1) You are just in the glorified call center, a help desk robot, who spends 6 hours a day constantly responding to 3 client queries at the same time. In the 1st stage, you will handle those minor and often trivial questions such as “why does the BBG terminal keep making the sound” / “How to change my chart color” / “CALL ME NOW”. In the 2nd stage, you are expected to guide clients on retrieving data through unnecessarily complicated pages, as well as do their work for them, such as “Can you complete all the data in my Excel file for me?” / “Can you replicate this chart for me? I don’t know where does it come from though”. When you are finally OFF the helpdesk, you are required to make at least 3 cold calls per hour to bother clients about outdated functions with minor updates. 2) Every communication you have with the client is constantly monitored by senior colleagues and managers. You may be marked down for reasons such as: a)you did not call the client when they went idle or left the helpdesk chat room (not fast and thoughtful); b)your greeting messages were deemed insufficiently empathetic (not clear answer); c)you took over 5 minutes working on a solution rather than immediately escalate it to your colleagues(not fast and thoughtful) etc. 3) They only care about your metrics, rather than you as a person. They constantly compare your KPI metrics with the "peer average level," but you have no idea who your peers are or how the calculations are made—despite their emphasis on “transparency.” You are treated like a robot, judged solely by KPI performance metrics rather than as a real human being with talents in different areas. As a result, some people game the metrics and form nepotism. *Leadership & Management? Leadership quality varies widely. While some leads demonstrate strong leadership and support, others create an exclusive and unbalanced work environment. Favoritism can be a serious issue at Bloomberg, with certain individuals receiving faster promotions and higher bonuses despite having below-average KPI metrics. Opportunities will be blocked for those who don’t engage in favoritism, preventing victims from advancing within the department

Explore other reviews about Bloomberg

5.0
Jun 25, 2026
Recommend
CEO approval
Business Outlook

Pros

great company to work for

Cons

I cant think of any ons

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.

See reviews by: Helpful|Rating|Date|All