Data Analytics applicants have rated the interview process at LinkedIn with 2.5 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 54.1% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Analytics roles take an average of 25 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at LinkedIn overall takes an average of 28 days.
Common stages of the interview process at LinkedIn as a Data Analytics according to 2 Glassdoor interviews include:
Phone interview: 50%
One on one interview: 25%
Presentation: 25%
Here are the most commonly searched roles for interview reports -
I applied through an employee referral. The process took 4 weeks. I interviewed at LinkedIn (Sunnyvale, CA) in Jan 2017
Interview
1. HR screening. 2. Basic introduction and two simple SQL problems. The interviewer focuses on my logic. 3. Two 45 min back to back interviews. Questions are almost all real life situations of data science. e.g. how would you design some feature. how to analyze such a problem....
Interview questions [1]
Question 1
Suppose we receive 2000 user complaints emails per day. Today we suddenly receive 3000. How to examine whether it is really a problem? Assuming you have all available use information.
I applied through an employee referral. The process took 2 weeks. I interviewed at LinkedIn (Sunnyvale, CA) in Nov 2016
Interview
Refer by employee, after three weeks, I got phone interview with recruiter. The recruiter is really nice. The process takes about 30 min. After two days, I got rejection call.
Interview questions [1]
Question 1
Introduction of your education background, project experiences, programming experience, why LinkedIn. Detail about the project experiences and describe the relevant to intern job.