Analyst applicants have rated the interview process at Merkle with 2.7 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 75% positive. To compare, the company-average is 56% positive. This is according to Glassdoor user ratings.
Candidates applying for Analyst roles take an average of 15 days to get hired, when considering 17 user submitted interviews for this role. To compare, the hiring process at Merkle overall takes an average of 23 days.
Common stages of the interview process at Merkle as a Analyst according to 17 Glassdoor interviews include:
Phone interview: 32%
Presentation: 21%
One on one interview: 16%
Skills test: 8%
IQ intelligence test: 8%
Group panel interview: 5%
Background check: 5%
Drug test: 3%
Other: 3%
Here are the most commonly searched roles for interview reports -
I applied through an employee referral. The process took 3 weeks. I interviewed at Merkle (Columbia, MD) in Jun 2009
Interview
A couple phone screens and than an all day on site series of 7 interviews and a 45 minute presentation...levels running from directors to SVP. Questions ranged from perceptions of previous bosses to problem solving...how would you handle certain analytic situations
Interview questions [1]
Question 1
How do you decide where to draw the line on privacy?
the interview had basic sql and questions about python libraries.. it also involved basic understanding of analytics and data cleaning. and rest of the interview went really smooth.. data cleaning and data processing was also there
There are thrre rounds of interview. First is on phone call. Asking for the introduction and some basic questions related to your previous experience and role. Second, is of technical interview.
The recruitment process began with an Online Assessment (OA), followed by a Group Discussion (GD). Subsequently, I cleared a technical round and a Human Resources (HR) interview. Overall, the process was straightforward with minimal questioning.
Interview questions [1]
Question 1
Tell about your projects and how is it implemented