Decision Analytics Associate (DAA) applicants have rated the interview process at ZS Associates with 2.9 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 67% positive. To compare, the company-average is 68.3% positive. This is according to Glassdoor user ratings.
Candidates applying for Decision Analytics Associate (DAA) roles take an average of 32 days to get hired, when considering 12 user submitted interviews for this role. To compare, the hiring process at ZS Associates overall takes an average of 18 days.
Common stages of the interview process at ZS Associates as a Decision Analytics Associate (DAA) according to 12 Glassdoor interviews include:
Phone interview: 25%
One on one interview: 15%
Personality test: 15%
IQ intelligence test: 10%
Skills test: 10%
Drug test: 10%
Background check: 10%
Presentation: 5%
Here are the most commonly searched roles for interview reports -
4 rounds consisting of 1 round as aptitude base 2 was case study 3 was interview based on that case study and last will be interview with manager that will ask generic questions regarding your resume guesstimate puzzle etc
the interviewer was chill and it went very well. he went through my resume and asked me questions from my resume. also asked some random case studies and checked my critical thinking
2 Rounds of Interviews. First was the Technical round with Basic programming questions and Questions based on my Resume. Technical concepts like python programming, basics of MySQL and Database, Computer Basics were covered.
Then was the HR Round which included Guesstimates, Questions about myself and thoughts on AI
Interview questions [1]
Question 1
Explain with examples how Database Normalisation Works.
Write a python program to Swap two numbers
Pretty straightforward process. There were mainly two interviews, back to back, one of which was largely behavioral, the other was somewhat technical but more so to see how your brain works rather than a test of what you know. They just have a person show you some data, ask you questions about it, what would you recommend this company do if they want to accomplish this goal given this data, etc.