What to expect in a GroupM data analyst interview: recruiter screen, manager and director conversations, and SQL, Power BI and project walkthrough questions, based on three candidate reports that each ended in an offer.
$73K
Avg. Base Comp
$85K
Avg. Total Comp
3-4 rounds
Typical Rounds
Not reported
Process Length
Across three candidate reports for analyst-level roles at GroupM, the process opens with a recruiter screen and moves into conversations with managers, directors or team leads. All three candidates received offers, but the roles differed: an analytics analyst, an entry-level analyst and a senior analyst. Expect the details to vary by level.
Two of the three describe the conversations as largely behavioral and conversational. One candidate was asked about Power BI, SQL and Python in scenario form, including many-to-many relationships in data modeling, DAX functions and sub-queries, rather than writing code live. Another, interviewing for a senior role, reports more conceptual SQL questions on procedures, clauses and JOINs. That candidate also took a Codility coding test and then a panel with a data science manager and an analytics director.
Project storytelling comes up in every report. Candidates were asked to walk through analytics projects, explain data cleaning, name the visualization tools they used, and describe the reasoning behind their decisions. The entry-level candidate advised coming prepared with a portfolio and being ready to explain the why behind your analysis, the tools you used and what you learned. One candidate also faced questions on campaign and marketing analytics experience and why they wanted the company.
Some candidates describe a process of several weeks, and one reports a reference check with three contacts and education verification. One senior candidate found communication between rounds inconsistent, so follow up politely if timelines are unclear. Evidence is limited to three reports, so treat the sequence as typical rather than fixed.
Synthesized from 3 candidate reports by our editorial team.
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Real interview reports from people who went through the Groupm process.
The interview process for an entry level analyst role consisted of 3 rounds for me: recruiter screening, director level interview, and manager level interview. It was pretty conversational — there wasn't much heavy technical stuff to get into since it's entry level, but I found it important to come prepared with a portfolio and be able to talk through my projects in detail. The first round with the recruiter was straightforward, just getting to know me and the role. Then I had a director level interview where we discussed what I could contribute to the company and how I'd approach problems. The manager round was more relaxed, and they asked me to walk through specific projects I'd done, diving into how I actually analyzed data and made decisions. They seemed genuinely interested in understanding my thought process rather than quizzing me on technical definitions. One thing I'd emphasize — don't just list projects on your resume and hope they don't ask. Be ready to explain the 'why' behind your analysis, what tools you used, and what you learned. That's where I think I stood out.
Prep tip from this candidate
Come with a polished portfolio of 2-3 projects where you can clearly explain your analytical approach, the business problem you solved, and the impact. Entry-level rounds here are conversational and focus on your ability to communicate insights, not algorithm memorization.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
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Synthesized from candidate reports. Individual experiences may vary.
Candidates report an opening call with a recruiter covering your background, previous roles and why you want the role and company. One candidate describes it as about thirty minutes and straightforward. Prepare a concise career summary and a specific reason for choosing GroupM.
Candidates report separate conversations with a manager and a director, or in one case team leads. These were mostly behavioral, with technical topics raised as scenarios. Topics reported include Power BI data modeling, DAX, SQL sub-queries, Python and campaign analytics experience. Be ready to explain your approach out loud.
One senior analyst candidate reports a Codility coding test, followed by a panel with a data science manager and an analytics director. The panel covered SQL procedures, clauses and JOINs, plus future plans and thinking about data. Other candidates did not report a test, so it may depend on seniority or team.
One candidate reports a reference check with three contacts and education verification, then a final thirty-minute Teams conversation with a senior analyst. It focused on their CV and thought process in real scenarios. This step was not mentioned by the others, so it may not apply to every role.
