Glassdoor users rated their interview experience at Kantar XTEL as 100% positive with a difficulty rating score of 4 out of 5 (where 5 is the highest level of difficulty). Candidates interviewing for Data Engineer and rated their interviews as the hardest, whereas interviews for Data Engineer and roles were rated as the easiest.
Friendly & welcoming. HR took too long to come back though.HR support could be better. Friendly & welcoming. HR took too long to come back though.HR support could be better.
Functional questions on top-down/ bottomup planning, dITL of KAM , management relzated questions
Interview questions [1]
Question 1
Functional questions on top-down/ bottomup planning, dITL of KAM
I applied through other source. The process took 2 months. I interviewed at Kantar XTEL (New York, NY) in Jan 2023
Interview
Straight forward application and screening with HR. Interviewed with hiring manager and then senior leadership before receiving an offer. Process was well communicated and organized and I was kept in the loop during the whole process.
Interview questions [1]
Question 1
Walk me through a roadblock during a sales cycle. How did you overcome it and what did you learn from it?
I interviewed at Kantar XTEL (Casalecchio di Reno)
Interview
I've sent my application via LinkedIn, one month later I received an email in which I could schedule a first online meeting. After that I got invited to do a technical interview a week later in presence in which I had to solve some Python exercises in a Jupyter Notebook regarding data manipulation. The technical interview regarded data manipulation of sales in the form of Pandas dataframe and lasted about 1 hour and 30 minutes. During the interview there were 3-4 people present, they sometimes gave hints to help but many times each person suggested a different approach to each problem resulting in confusing me. Right after that I got interviewed by an HR who was very kind and asked what are my expectations regarding the pay. 3 working weeks later I received an email with the results
Interview questions [1]
Question 1
The technical interview regarded data manipulation in python but SQL knowledge is recommended as some operations were like join queries