K

Kantar

Analyst

Interview Date

December 30, 2021

Result

Not Specified

Difficulty

Not Specified (Preparation tips suggest thoroughne

Rounds

5 rounds (1 Aptitude Test, 1 One-on-One Technical/Experience Discussion, 1 Technical Round (Fundamen

Drive Type

Not Specified (Implied Full-Time)

Topics asked

USA geography and demographicsCurrent experienceProjectsBusiness managementRegression (Multiple Linear Regressionmulticollinearityridge regressionlogistic regression)RPythonExcel (VLOOKUPXLOOKUPINDEX-MATCHPivot Tables)RiddlesLogic questionsData analytics concepts (What is data analytics?What is data blending?)Marketing research and advertising case studySalary expectationsExpectations from the roleLocation preferences.

Detailed experience

Role: Analyst

College: Not Specified

Interview Date: December 30, 2021

Interview Type: Not Specified (Implied Full-Time)

Result: Not Specified

Difficulty: Not Specified (Preparation tips suggest thoroughness)

Rounds: 5 rounds (1 Aptitude Test, 1 One-on-One Technical/Experience Discussion, 1 Technical Round (Fundamentals), 1 Case Study Round, 1 HR Round)

Topics Asked: USA geography and demographics, Current experience, Projects, Business management, Regression (Multiple Linear Regression, multicollinearity, ridge regression, logistic regression), R, Python, Excel (VLOOKUP/XLOOKUP/INDEX-MATCH, Pivot Tables), Riddles/Logic questions, Data analytics concepts (What is data analytics?, What is data blending?), Marketing research and advertising case study, Salary expectations, Expectations from the role, Location preferences.

Experience:

The interview process for an Analyst role at Kantar involved a multi-stage assessment.

The **Assessment Test Round 1** was an Aptitude Test, focusing on USA geography and demographics, with objective/applied knowledge-based questions.

The **Interview Rounds** included:

  • **One-on-One Technical/Experience Discussion:** This round covered current experience, projects, and business management knowledge. Conceptual questions were asked on regression models (Multiple Linear Regression, multicollinearity and its detection/handling, ridge regression, logistic regression). Basics of R, Python, and Excel (lookups like VLOOKUP/XLOOKUP/INDEX-MATCH, Pivot Tables) were also assessed. A few riddles or logic questions might also be included.
  • **Technical Round (Fundamentals):** This round focused on basic analytics concepts such as "What is data analytics?" and "What is data blending?".
  • **Case Study Round:** Candidates were given a case study in the marketing research and advertising domain. The expectation was to structure the problem, analyze data/context, derive insights, and present actionable recommendations.
  • **HR Round:** This final round covered topics like salary expectations, expectations from the role, and location preferences.

Posted on - 12 Nov 2025
Kantar Interview Experience - Analyst | OAHelper