召集所有做緊 Business Analyst 既朋友 (3)

1001 回覆
9 Like 8 Dislike
2021-05-06 20:29:02
有無巴打有咩高見
2021-05-06 20:44:55
2021-05-06 20:46:53
2021-05-06 20:51:48
2021-05-06 21:39:56
2021-05-06 21:58:17
真..... 忙到嘔 咩都關你事
仲有user support, user training, user guide, 同客既wewkly follow up meeting
2021-05-06 22:18:47
輕輕一推先
2021-05-06 22:20:35

做consultant 仲慘
2021-05-06 22:30:44
仲有training video
自己拍片, 打稿 上字幕, 做埋剪接
2021-05-06 23:24:20
2021-05-06 23:34:27
2021-05-07 21:18:19
big 4呢份就主要係用SQL build data model in data warehouse同玩下data visualization tool咁樣
而間美資公司(MGF sourcing), 呢個BA role係會more focus on communication with different departments, SQL 去砌reports, 學下garment industry嘅erp system,同埋會砌埋app
好糾結唔知點揀好
2021-05-07 21:50:31
BA 連app 都要識寫
2021-05-07 22:00:51
係...計exposure好似就big4好啲囉....
2021-05-07 22:05:51
Big4 有個role 係主要玩一樣野架咩
我以為入得consulting
就乜都要識
乜都要學
2021-05-07 22:06:52
back office, 唔係consulting
2021-05-07 22:08:57

明解
2021-05-07 22:09:41
個人覺得
Big4 得consulting / advisory 值得入
其他唔太value add
2021-05-07 22:11:43
但寫落CV好似靚啲咁....?
2021-05-07 22:15:18
入Big4 做in house
不如入大公司做in house 啦
入得Big4 就係要project exposure
冇既話要間人工高啲嘅
因為出番去唔差太遠
當然你in house 細公司就去番Big4
2021-05-07 22:24:58
2年半BI位
PL/SQL (ETL), dashboard, ML, EDA, web crawl 都有做下,平均一個月37k
2021-05-07 22:26:47
自己做個GitHub project
搵唔到真data eng,做住假data eng / bi / da先
2021-05-07 22:30:38
2021-05-07 22:30:44
姐係走好啲......?仲諗住做夠一年貨仔先跳
2021-05-07 22:33:29
兩份睇落都唔差,big4應該好d, 美資既其實唔係fi/ big tech都可以好濕鳩,Glassdoor 睇清楚先。不過最重要都係諗下你鐘意/適合做咩工種。
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