Ipsos Data Analyst candidates describe a screening call, statistics and econometrics questions, basic SQL, and conversations with team members or managers about projects, behavior and knowledge of Ipsos's business.
$70K
Avg. Base Comp
$85K
Avg. Total Comp
2-3 rounds
Typical Rounds
3-9 weeks
Process Length
Candidates who interviewed for Ipsos analyst roles describe a process that leans on statistics and econometrics more than heavy coding. Two accounts mention R-squared versus adjusted R-squared, and others bring up regression, multicollinearity or VIF, and autocorrelation. Expect to explain when each concept matters, not just define it.
SQL shows up at a basic level. One candidate described SQL basics alongside the technical rounds, another wrote a query on the spot in an in-person interview, and a third said SQL came up but was not the main focus.
Business awareness also came up. One candidate was asked which clients Ipsos works with and what services it provides them, so reviewing the company's portfolio is worthwhile. Another had a second-round conversation with the head of the team that included a case study or presentation and media-related guess-estimate questions.
Behavioral questions were common: walking through a past success, handling failure, managing large projects, and explaining why you left previous roles. Outcomes were mixed, with both offers and rejections reported. Pacing differed as well. One candidate described three rounds over two months, while another reported gaps of three weeks or more between rounds with little communication. The sample is small, so treat these details as signals rather than a fixed format.
Synthesized from 5 candidate reports by our editorial team.
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Synthesized from candidate reports. Individual experiences may vary.
Candidates describe an opening phone or HR screening about background and fit. One was asked to introduce themselves and then moved straight into statistics fundamentals, with a short puzzle at the end. Another was asked why they left previous roles and also described an assessment covering math, reasoning and statistics, so prepare a clear, honest account of your career moves.
Reported topics include R-squared versus adjusted R-squared, regression assumptions, multicollinearity or VIF, autocorrelation and probability. One candidate said statistics was weighted more heavily than coding and read the first round as a check on foundational knowledge. Be ready to explain when and why each concept matters, not only to define it.
SQL was described as basics rather than advanced. One candidate had SQL basics mixed into the technical rounds, and another had to write a query live during an in-person interview after walking through resume projects in detail. A third said SQL came up but was not the main focus.
Later conversations were with data team members, a director or hiring manager, or the head of the team. Topics included a past success, failure, large projects, and which clients Ipsos serves and how. One candidate described a case study or presentation with media-related guess-estimate questions, and another a scenario-based case interview. Candidates called the tone professional and conversational.
