Data Processing Specialist applicants have rated the interview process at Nielsen with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 86% positive. To compare, the company-average is 64.6% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Processing Specialist roles take an average of 6 days to get hired, when considering 7 user submitted interviews for this role. To compare, the hiring process at Nielsen overall takes an average of 24 days.
Common stages of the interview process at Nielsen as a Data Processing Specialist according to 7 Glassdoor interviews include:
Personality test: 18%
Skills test: 18%
Phone interview: 18%
IQ intelligence test: 18%
Presentation: 12%
One on one interview: 6%
Group panel interview: 6%
Background check: 6%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 4 weeks. I interviewed at Nielsen (New Delhi) in Aug 2020
Interview
There were 3 rounds
1st one was virtual (questions popped up)hr questions and technical questions of SQL and Pandas
2nd was bit of technical
3rd one was discussion on FMCG companies , technical and HR.
Interview questions [2]
Question 1
Write query to fetch the salary of particular employee?
I applied online. I interviewed at Nielsen (Kuala Lumpur) in Jul 2023
Interview
- Asked on basic skills such as sql, excel, and python.
- Will ask for experience in data field
- 2 stage interview, first by phone and second by teams.
3 stages. First HR talk then online assessments then with hiring manager. HR is friendly and supportive. Assessments are not too hard as well, easily answered if you have done your preparations
easy and informative interview process. Mentors were very helpful at the time of interview. It took 4 days, 30 min each. one online aptitude test and other 3 was technical interview via google meet.
Interview questions [1]
Question 1
about FMCG, situational questions and what do I know about company's products and what they serve.