Kantar Data Analyst Interview Questions + Guide in 2025

Kantar is the world's leading data, insights, and consulting company, dedicated to shaping the brands of tomorrow by better understanding people everywhere.

As a Data Analyst at Kantar, you will play a crucial role in the User Engagement and User Acquisition processes for the company's panels, leveraging innovative data analytics and data science technologies. Your responsibilities will include evaluating support tickets related to Machine Learning models, monitoring the performance of existing models, and analyzing user data to identify weaknesses and opportunities for improvement. You will collaborate closely with cross-functional teams to formulate pertinent questions and provide actionable insights that support decision-making efforts.

The ideal candidate for this role will possess a strong foundation in programming (particularly Python and SQL), have a keen curiosity about data and machine learning, and demonstrate strong problem-solving skills. Additionally, familiarity with statistical techniques, data transformation tools, and visualization software will be beneficial. Kantar values collaboration, attention to detail, and a passion for redefining data into actionable insights, making these traits essential for success in this position.

This guide will provide you with the insights necessary to prepare effectively for your interview, ensuring you can showcase your skills and align with Kantar's mission and values.

The interview process for a Data Analyst position at Kantar is structured and thorough, designed to assess both technical skills and cultural fit within the organization. The process typically unfolds in several distinct stages:

1. Initial Screening

The first step is an initial screening, which usually takes place via a phone call with a recruiter. This conversation focuses on your background, experience, and motivation for applying to Kantar. The recruiter will also provide insights into the company culture and the specifics of the Data Analyst role, ensuring that candidates have a clear understanding of what to expect.

2. Technical Assessment

Following the initial screening, candidates are often required to complete a technical assessment. This may include a written test that evaluates your analytical skills, proficiency in SQL, and understanding of data analysis concepts. Some candidates have reported coding challenges where they can choose their preferred programming language, such as Python or R, to solve specific problems.

3. Case Study Presentation

Candidates who pass the technical assessment may be invited to participate in a case study presentation. This involves working collaboratively with other candidates to analyze a business scenario and present a solution. This step not only tests your analytical skills but also your ability to work in a team and communicate effectively.

4. Panel Interviews

The next stage typically consists of multiple panel interviews, which may include both technical and behavioral questions. You will meet with various team members, including managers and senior analysts, who will assess your technical knowledge, problem-solving abilities, and how well you align with Kantar's values. Expect questions related to your past projects, data analysis techniques, and how you handle challenges in a work environment.

5. Final HR Interview

The final step in the interview process is usually an HR interview. This conversation focuses on discussing salary expectations, benefits, and any remaining questions you may have about the company. It’s also an opportunity for HR to gauge your fit within the company culture and to discuss the next steps in the hiring process.

Throughout the interview process, candidates should be prepared to discuss their technical skills, particularly in data analysis and programming, as well as their ability to communicate complex information to both technical and non-technical stakeholders.

Now, let's delve into the specific interview questions that candidates have encountered during this process.

Here are some tips to help you excel in your interview.

Understand the Interview Structure

Kantar's interview process typically involves multiple rounds, including a group case study presentation, technical assessments, and HR discussions. Familiarize yourself with this structure and prepare accordingly. For instance, practice presenting your case study solutions clearly and concisely, as this will be a key component of your evaluation.

Showcase Your Technical Skills

As a Data Analyst, you will be expected to demonstrate proficiency in SQL and programming languages like Python. Be prepared to discuss your experience with data analysis tools and techniques, including any relevant projects you've worked on. Brush up on your knowledge of statistical concepts and be ready to explain how you've applied them in real-world scenarios.

Prepare for Behavioral Questions

Kantar values collaboration and communication skills. Expect behavioral questions that assess how you work with others and handle challenges. Use the STAR (Situation, Task, Action, Result) method to structure your responses, focusing on specific examples that highlight your problem-solving abilities and teamwork.

Emphasize Your Curiosity About Data

Kantar seeks candidates who are genuinely curious about data and its implications. Be prepared to discuss your passion for data analysis and how you stay updated on industry trends. Share examples of how you've used data to drive insights and decision-making in previous roles.

Communicate Effectively with Diverse Audiences

Given the collaborative nature of the role, you will need to communicate technical information to both technical and non-technical stakeholders. Practice explaining complex concepts in simple terms, and be ready to discuss how you've successfully navigated communication challenges in the past.

Be Ready for Case Study Discussions

During the interview, you may be asked to analyze a case study or provide insights based on hypothetical scenarios. Practice structuring your thought process and articulating your reasoning clearly. Focus on how you would approach data analysis, identify key metrics, and derive actionable insights.

Research Kantar's Culture and Values

Understanding Kantar's commitment to diversity, inclusion, and employee well-being will help you align your responses with their values. Be prepared to discuss how you can contribute to a positive work environment and support the company's mission of understanding people better.

Prepare for Technical Assessments

Expect technical assessments that may include coding challenges or data analysis tasks. Familiarize yourself with common data manipulation techniques and practice coding problems in your preferred programming language. This will help you feel more confident during the technical portions of the interview.

Follow Up with Thoughtful Questions

At the end of the interview, you will likely have the opportunity to ask questions. Prepare thoughtful inquiries that demonstrate your interest in the role and the company. Consider asking about the team dynamics, opportunities for professional development, or how Kantar measures success in the Data Analyst role.

By following these tips and preparing thoroughly, you will position yourself as a strong candidate for the Data Analyst role at Kantar. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Data Analyst interview at Kantar. The interview process will likely assess your technical skills, problem-solving abilities, and understanding of data analytics in a business context. Be prepared to discuss your experience with data analysis tools, programming languages, and your approach to deriving actionable insights from data.

Technical Skills

1. What is your experience with SQL, and can you provide an example of a complex query you have written?

Kantar values strong SQL skills, so be ready to discuss your proficiency and provide a specific example that showcases your ability to manipulate and analyze data effectively.

How to Answer

Explain your experience with SQL, focusing on the types of queries you have written and the context in which you used them. Highlight any complex joins, subqueries, or aggregations you performed.

Example

“I have extensive experience with SQL, having written complex queries for data extraction and reporting. For instance, I created a query that joined multiple tables to analyze user engagement metrics, which involved aggregating data by user demographics and filtering for specific time periods to identify trends.”

2. Can you explain the difference between supervised and unsupervised learning?

Understanding machine learning concepts is crucial for this role, especially as it relates to user engagement and data analysis.

How to Answer

Define both terms clearly and provide examples of when each type of learning is used in practice.

Example

“Supervised learning involves training a model on a labeled dataset, where the outcome is known, such as predicting user churn based on historical data. In contrast, unsupervised learning is used when the data is unlabeled, like clustering users into segments based on their behavior without predefined categories.”

3. Describe a time when you identified a significant issue in a data model. How did you resolve it?

This question assesses your problem-solving skills and your ability to work with data models.

How to Answer

Discuss a specific instance where you found a flaw in a data model, the steps you took to analyze the issue, and how you implemented a solution.

Example

“In a previous role, I noticed discrepancies in user retention rates due to incorrect data mappings in our model. I conducted a thorough review of the data sources, identified the root cause, and collaborated with the development team to correct the mappings, which improved the accuracy of our reports significantly.”

4. What tools do you use for data visualization, and how do you decide which to use for a specific project?

Kantar emphasizes the importance of data visualization in communicating insights.

How to Answer

Mention the tools you are familiar with and explain your criteria for selecting a tool based on the project requirements.

Example

“I frequently use Tableau and Grafana for data visualization. I choose Tableau for its robust dashboard capabilities when I need to present complex data interactively, while I prefer Grafana for real-time monitoring of metrics due to its time-series graphing capabilities.”

5. How do you ensure data quality and integrity in your analysis?

Data quality is critical in analytics, and Kantar will want to know your approach to maintaining it.

How to Answer

Discuss the methods you use to validate data, such as data cleaning techniques, checks for consistency, and how you handle missing data.

Example

“I ensure data quality by implementing a series of validation checks during the data cleaning process. This includes identifying and correcting anomalies, handling missing values through imputation or exclusion, and regularly auditing data sources to maintain consistency and accuracy.”

Behavioral Questions

1. Tell me about a time you had to communicate complex technical information to a non-technical audience.

Effective communication is key at Kantar, especially when working with diverse stakeholders.

How to Answer

Provide an example that illustrates your ability to simplify complex concepts and ensure understanding among non-technical team members.

Example

“During a project presentation, I had to explain the results of a machine learning model to the marketing team. I used visual aids to illustrate the model's predictions and avoided jargon, focusing instead on the implications of the results for their campaigns, which helped them grasp the insights quickly.”

2. Describe a situation where you had to work under pressure to meet a deadline. How did you handle it?

Kantar may have tight deadlines, so demonstrating your ability to manage stress is important.

How to Answer

Share a specific instance where you successfully met a deadline, detailing your time management strategies and how you prioritized tasks.

Example

“When faced with a tight deadline for a quarterly report, I prioritized tasks by breaking down the project into smaller milestones. I communicated with my team to delegate responsibilities effectively and worked extra hours to ensure we delivered a comprehensive report on time.”

3. How do you approach problem-solving when faced with a challenging data analysis task?

This question assesses your analytical thinking and problem-solving process.

How to Answer

Outline your systematic approach to tackling complex problems, including how you gather information, analyze data, and implement solutions.

Example

“I approach challenging data analysis tasks by first defining the problem clearly and gathering all relevant data. I then analyze the data using statistical methods to identify patterns or anomalies. If I encounter obstacles, I consult with colleagues or seek additional resources to ensure I can find a viable solution.”

4. Can you give an example of how you have used data to influence a business decision?

Kantar values data-driven decision-making, so be prepared to discuss a specific instance where your analysis had a significant impact.

How to Answer

Describe the situation, the data you analyzed, and how your insights led to a change in strategy or decision.

Example

“I analyzed user engagement data that revealed a drop in retention rates for a specific demographic. I presented my findings to the product team, suggesting targeted marketing strategies to re-engage this group. As a result, we implemented a new campaign that increased retention by 15% within three months.”

5. How do you stay updated with the latest trends and technologies in data analytics?

Kantar seeks candidates who are proactive about their professional development.

How to Answer

Discuss the resources you use to keep your skills sharp, such as online courses, webinars, or industry publications.

Example

“I stay updated with the latest trends in data analytics by following industry blogs, participating in webinars, and taking online courses on platforms like Coursera. I also engage with professional communities on LinkedIn to exchange knowledge and insights with peers in the field.”