毒留在家中
2022-5-2 09:28:42
識stat
但一般情況下識business stat就夠
最好識Python/ R/ Tableau/ power BI
Ads
毒留在家中
2022-5-2 09:32:41
見過20k頭請phD
:^(
離鄉村民
2022-5-2 10:04:56
見過最好的 會係standalone team
係corporate level 當係一個function dept
由dashboard reporting 到advanced analytics都有
不過要的人就唔少 BA DA DS Engineer, etc
主要係唔同dept遊走
幫佢地harmonise公司data
由input睇點樣可以consolidate唔同dept data
再做further analysis
你知就算finance / Hr 都可以係唔同地方入緊data
去唔同DB 個configuration 同definition
都可以似但唔同
咁DA team就要review & standardise
再同IT / vendor / data collection夾
咁base on difficulty
會砌ETL / business flow /
even front end data collection / config DB
咁advance analysis/ stat
果堆就睇有無dept提出做
無就自己搵下topic搞下
sell其他dept support再做
Visualisation唔洗講
整好前面data governance就係比後面睇
Top Mgt見到interactive dashboard
就係time to shine
同時比完top Mgt 都要同mid / execution team夾
比個dashboard / procedure佢地dig
咁engage晒唔同parties
structure係見過最好 無撚得輸
因為routine就係dashboard而有exposure
Special ML/ study就bonus value added
最廢就真係DA under IT
乜鳩都test run trial UAT
整完拋比user
咁的project team唔易玩
因為比左user ownership
你唔點理 根本唔sustainable
一黎無左routine野
有時即cut project team到時就
米芝連人
2022-5-2 13:17:57
搭單都想問埋,其實我有2個offer係手(非FG),一間Technology Consulting Firm (A記),一間就係新加坡銀行(紅黑色個間)
A記比既Title係DE,會做bank/insurance既project,同埋除左DA,佢都想我學同做埋DE既嘢 (e.g. Azure)
銀行比既Title就好standard既DA,build data visualization, create AI/ML Model,但個role處理既data係啲operational data (customer data, call center data, wealth management, and general bank operations)
唔知邊個offer出路會好啲
:^(
兩蚊俾多你啦
2022-5-2 13:32:23
巴打咩Background?
米芝連人
2022-5-2 13:35:18
BBA底,畢左業3年多啲,有做過consultant and BI related role
但一般情況下識business stat就夠
最好識Python/ R/ Tableau/ power BI