最近面完了高盛家的data analyst,拿到了offer,过来分享一下面经回报一下地里各位。. check 1point3acres for more.
不过我这个职位是亚洲的(新加坡/香港),不知道参考意义大不大,先贡献了再说~
本人背景:
business analytics本科,在职银行一年,做的也是数据相关的岗位。三月初开始跳槽
先发个坎坷的Timeline,平静一下这三个月来每隔几星期就被坑的暴躁心情:
Mar 7 - Internal Refer from my friend
Apr 6- Arrange Initial Interview
Apr 10- Initial Interview with Department Head (Behaviour)
Apr 20- Arrange Second Round Interview
Apr 25 - Second Round Interview with Engineer (Technical)
May 16 - HR contact me for two final rounds of intervew with two Managing Directors
May 21 - Third Round Interview (Original Date), GS cancelled it in the morning and set it to May 25.
May 23 - Fourth Round Interview (Original Date), GS again cancelled it in the morning (2 hrs before interview) and set it to May 24
May 24/May 25 - Two rounds of interview with two MDs.--
May 29 - Confirm all positive feedback and proceed for compensation questionnaire
May 30 - Call with HR, submitting package to Hiring Committee and booked phone call on June 12 for outcome
June 12 - No updates, no phone so I followed up. ----
June 13 - HR contacted me and shared some headcount issues (Indefinitely Delay for Offer).google и
June 21 morning - HR emailed me for arranging a call with a Director in the afternoon
June 21 afternoon - No call, cancelled. HR told me its a mistake, they intended to arrange the call on June 22
June 22 - Call with Director, still indefinitely delaying my offer, asking me if im still interested (呵呵)
June 28 - I chased up, HR promised a call at 5pm
June 28 5pm - No call
June 28 7pm - Call and told me outcome is on the way (?).--
June 29 - Telling me offer is coming later by tonight
July 2 - Offer extended (Finally :)
真的是过程中,无数次被cancel,无数次被放鸽子,或者HR约错时间、地点,被他们的不专业惊呆了
第一轮
全是behaviour的,说说intern、project,详细聊了聊Final year thesis,以及为什么要跳槽,为什么要加入高盛,高盛和我现在的公司有什么不一样的吸引我等等。然后开始给我介绍,他们在亚洲打算开一个新的Inno Lab做data相关的工作,觉得我是很合适的candidate希望可以加入他们的pioneer batch
然后说"pls be expecting a couple of more rounds,当初我面试的时候面了12轮 blabla"
我:什么?12轮?不如现在就放过我.....。然而果然接下来只有我想不到没有gs做不出
第二轮
. check 1point3acres for more.
Technical面,更多关于data visualization, software和SQL的一些