Pros
- Good benefits, work life balance, very caring employer to work for - Though organization chart looks very flat for entry level analyst, people with different skills can propose and work on totally different projects that make best use of their skills - There are three streams of speciality /skills that are looked upon in this role. First type of people are "good" at tech: which is anonymous to VBA (shifting to python gradually), SQL , R and statistical analysis etc. The second type "knows" the market and collaborates with some other departments internally to publish data driven news articles. Third type are more finance or business driven, who helps with the top line and client engagement pre or post sale.
Cons
Cons are mainly for the role itself. - Hiring is not role specific for fresh/recent graduates to the entry level analyst position. Under the same umbrella of the global data department, the nature of work can be quite different for different teams. However, this assignment was not made known to the new hires until their first day or even later. - Most of the daily work is based on the Bloomberg terminal and some internal softwares and highly repetitive, which makes the knowledge of knowing a lot of nuances and judgement of knowing what data is wrong/correct not transferable to the next job - The role should be best described as "Data operations analyst" or "Data management analyst" ( not "Global Data Analyst" or "Market Analyst" as that does not reflect the nature of the responsibilities). As such, I do not see a long-term fit of any of the above 3 types of people if they are ambitious in further developing their (emphasis: transferable) skills through work experience. - A lot of so-called projects are exact duplicates, but people in different regions just keep on working on their localized "projects" even if it has already been done elsewhere. - Decisions are very US-centric, hard to get opinion heard from other regional offices.