Kantar Business Analyst Interview Guide

Getting ready for a Business Analyst interview at Kantar? The Kantar Business Analyst interview process typically spans three to five question topics and evaluates skills in areas like analytics, data interpretation, presentation, product metrics, and SQL/Python problem solving. Interview preparation is especially important for this role at Kantar, as candidates are expected to demonstrate not only technical proficiency but also the ability to communicate insights clearly, analyze business processes, and present actionable recommendations to diverse stakeholders within a global research-driven organization.

In preparing for the interview, you should:

• Understand the core skills necessary for Business Analyst positions at Kantar.
• Gain insights into Kantar’s Business Analyst interview structure and process.
• Practice real Kantar Business Analyst interview questions to sharpen your performance.

At Interview Query, we regularly analyze interview experience data shared by candidates. This guide uses that data to provide an overview of the Kantar Business Analyst interview process, along with sample questions and preparation tips tailored to help you succeed.

Kantar is a leading global data, insights, and consulting company that helps organizations understand consumer behavior and drive strategic decision-making. Operating in over 90 markets, Kantar provides research, analytics, and consulting services to clients across industries, including consumer goods, media, retail, and healthcare. The company is committed to delivering actionable insights through advanced data analytics and market research. As a Business Analyst at Kantar, you will play a crucial role in transforming complex data into valuable recommendations that support clients’ business growth and innovation.

As a Business Analyst at Kantar, you will be responsible for gathering and interpreting data to provide insights that support client decision-making and project delivery. You will work closely with internal teams and clients to understand business needs, define requirements, and translate them into actionable solutions. Key responsibilities include conducting market research, analyzing trends, preparing reports, and presenting findings to stakeholders. By facilitating communication between technical and business teams, this role ensures that Kantar’s data-driven services effectively address client objectives and contribute to the company’s reputation for delivering high-quality market intelligence.

2.1 Stage 1: Application & Resume Review

The initial step involves a thorough screening of your CV and application by the talent acquisition or HR team. They look for alignment with core business analysis competencies such as data analytics, SQL and Python proficiency, experience with product metrics, and evidence of strong presentation skills. Highlighting your experience in process improvement, stakeholder management, and ability to translate data into actionable business insights is crucial. Make sure your resume clearly demonstrates your quantitative and qualitative analysis capabilities, familiarity with metrics-driven decision making, and any relevant experience with business intelligence tools.

2.2 Stage 2: Recruiter Screen

This stage is typically a phone or video interview conducted by HR or a recruiter. The discussion centers around your background, motivation for joining Kantar, and your understanding of the business analyst role. Expect questions about your previous projects, career aspirations, and your approach to data-driven problem solving. Be ready to discuss your experience with analytics tools and methods, and your ability to communicate findings to non-technical stakeholders. Preparation should include reviewing your resume and articulating your interest in the company and industry.

2.3 Stage 3: Technical/Case/Skills Round

This round is usually led by a hiring manager or a senior member of the analytics team. You may be given a take-home case study, a live logic or quantitative assessment, or asked to solve business scenarios on the spot. Tasks can range from data interpretation, SQL or Python exercises, and process diagram analysis, to modeling product or market metrics. You may also be asked to prepare and deliver a presentation on a provided topic, with follow-up Q&A to assess your analytical thinking, problem-solving approach, and presentation skills. Preparation should include practicing data analysis, reviewing business cases, and refining your ability to explain complex insights clearly.

2.4 Stage 4: Behavioral Interview

This stage typically involves competency-based questions and role-playing scenarios, often with future team members or cross-functional partners. Interviewers assess your communication style, collaborative approach, adaptability, and ability to present insights to various audiences. You may be asked to describe challenges faced in previous data projects, your methods for ensuring data quality, and how you tailor presentations for different stakeholders. Preparation should focus on reflecting on past experiences, especially those demonstrating leadership, teamwork, and effective communication.

2.5 Stage 5: Final/Onsite Round

The final stage may be a panel interview, in-person assessment center, or additional meetings with senior leaders and team members. You could be asked to deliver a presentation on a case study, participate in group discussions, or tackle a business simulation relevant to Kantar’s client industries. This round evaluates your fit with the team culture, your ability to synthesize and present complex data, and your strategic thinking regarding business problems. Preparation should include practicing presentations, anticipating follow-up questions, and demonstrating your ability to drive actionable insights from data.

2.6 Stage 6: Offer & Negotiation

Once you successfully complete all interview rounds, HR will reach out for an offer discussion. This stage involves negotiating compensation, benefits, and start date, and may include a final conversation with the hiring manager to address any outstanding questions or clarify your role within the team.

2.7 Average Timeline

The typical Kantar Business Analyst interview process spans 2-4 weeks from application to offer, though timelines can vary based on scheduling and feedback cycles. Fast-track candidates may progress in as little as one week, especially for urgent or high-priority roles, while standard pacing allows a few days to a week between each stage. Take-home assignments and presentations generally come with a 2-5 day deadline, and final rounds may be scheduled based on team availability.

Next, let’s explore the types of interview questions you can expect at each stage of the Kantar Business Analyst process.

3.1. Product & Experimentation Analytics

Expect questions focused on evaluating business strategies, designing experiments, and measuring the impact of product or marketing initiatives. You’ll be asked to propose metrics, structure experiments, and interpret data-driven outcomes to inform business decisions.

3.1.1 You work as a data scientist for ride-sharing company. An executive asks how you would evaluate whether a 50% rider discount promotion is a good or bad idea? How would you implement it? What metrics would you track?
Describe how you would design an experiment, select control and treatment groups, and outline key metrics such as conversion, retention, and revenue impact. Discuss how you would analyze the results and make recommendations based on statistical significance and business goals.

3.1.2 The role of A/B testing in measuring the success rate of an analytics experiment
Explain how you would design an A/B test, including the hypothesis, success metrics, and how you would interpret results. Focus on how the experiment aligns with business objectives and the importance of statistical rigor.

3.1.3 Assessing the market potential and then use A/B testing to measure its effectiveness against user behavior
Discuss your approach to evaluating market demand, designing experiments to test new features, and analyzing behavioral data to inform product decisions. Emphasize how you would iterate based on findings.

3.1.4 How would you measure the success of an email campaign?
Outline key metrics such as open rates, click-through rates, and conversion rates. Explain how you would use cohort analysis or controlled experiments to determine campaign effectiveness.

3.2. SQL & Data Manipulation

These questions assess your ability to write complex SQL queries, aggregate data, and generate actionable insights from raw datasets. You should be comfortable with joins, window functions, pivots, and handling data at scale.

3.2.1 Write a SQL query to count transactions filtered by several criterias.
Describe how to use filtering conditions and aggregate functions to count transactions based on multiple criteria. Mention the importance of performance and clarity in your query.

3.2.2 Write a query to compute the average time it takes for each user to respond to the previous system message
Explain how to use window functions to align messages, calculate time differences, and aggregate by user. Clarify assumptions if message order or missing data is ambiguous.

3.2.3 Write a query to find all users that were at some point "Excited" and have never been "Bored" with a campaign.
Use conditional aggregation or filtering to identify users who meet both criteria. Highlight your approach to efficiently scan large event logs.

3.2.4 Write a query to calculate the 3-day weighted moving average of product sales.
Describe how you would use window functions to calculate moving averages, and explain the logic behind weighting recent sales more heavily.

3.2.5 Write a query to create a pivot table that shows total sales for each branch by year
Discuss using aggregate functions and conditional logic to reshape and summarize sales data by branch and year.

3.3. Metrics, Reporting & Data Quality

You’ll be tested on your ability to define, track, and interpret key business metrics, as well as diagnose and resolve data quality issues. Expect to demonstrate how you would design dashboards, address inconsistencies, and ensure data reliability.

3.3.1 How would you analyze the dataset to understand exactly where the revenue loss is occurring?
Explain how you would segment the data, identify trends or anomalies, and use root cause analysis to pinpoint sources of revenue decline.

3.3.2 Ensuring data quality within a complex ETL setup
Describe your approach to validating data at each stage of the pipeline, implementing monitoring, and resolving discrepancies.

3.3.3 How would you approach improving the quality of airline data?
Discuss profiling data for common issues, prioritizing fixes based on business impact, and establishing automated quality checks.

3.3.4 You are generating a yearly report for your company’s revenue sources. Calculate the percentage of total revenue to date that was made during the first and last years recorded in the table.
Explain how you would aggregate revenue data by year, calculate percentages, and present findings to stakeholders.

3.4. Machine Learning & Modeling

These questions evaluate your understanding of machine learning concepts, modeling, and the ability to justify algorithmic choices for business problems. You may be asked to explain, select, or critique models in practical scenarios.

3.4.1 Building a model to predict if a driver on Uber will accept a ride request or not
Discuss the features you would engineer, model selection, evaluation metrics, and how you would validate model performance in production.

3.4.2 Explaining the use/s of LDA related to machine learning
Describe Linear Discriminant Analysis, its applications, and scenarios where it’s preferable over other techniques.

3.4.3 Justify a neural network for a business problem
Explain when and why you would choose a neural network, considering data complexity, interpretability, and business requirements.

3.5. Communication & Stakeholder Management

Business analysts at Kantar are expected to translate complex data into actionable insights for diverse audiences. These questions focus on your ability to communicate, present, and adapt your findings to stakeholders with varying technical backgrounds.

3.5.1 How to present complex data insights with clarity and adaptability tailored to a specific audience
Discuss structuring presentations, using visuals, and tailoring messaging for business or technical stakeholders.

3.5.2 Making data-driven insights actionable for those without technical expertise
Explain how you would break down complex analyses, use analogies, and focus on business impact to make insights accessible.

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3.6 Behavioral Questions

3.6.1 Tell me about a time you used data to make a decision. What was the business impact, and how did you communicate your recommendation?

3.6.2 Describe a challenging data project and how you handled it. What specific obstacles did you overcome?

3.6.3 How do you handle unclear requirements or ambiguity in a project?

3.6.4 Give an example of when you resolved a conflict with someone on the job—especially someone you didn’t particularly get along with.

3.6.5 Talk about a time when you had trouble communicating with stakeholders. How were you able to overcome it?

3.6.6 Describe a time you had to negotiate scope creep when multiple teams kept adding requests. How did you keep the project on track?

3.6.7 When leadership demanded a quicker deadline than you felt was realistic, what steps did you take to reset expectations while still showing progress?

3.6.8 Tell me about a situation where you had to influence stakeholders without formal authority to adopt a data-driven recommendation.

3.6.9 Share a story where you used data prototypes or wireframes to align stakeholders with very different visions of the final deliverable.

3.6.10 Give an example of how you balanced short-term wins with long-term data integrity when pressured to ship a dashboard quickly.

4.1 Company-specific tips:

Immerse yourself in Kantar’s core business model and its focus on data-driven insights, market research, and consulting. Review recent case studies, press releases, and client success stories to understand the types of business problems Kantar solves and the industries it serves, such as consumer goods, media, and healthcare.

Familiarize yourself with Kantar’s approach to global research, including how they handle cross-market data and cultural nuances in analytics. This will help you tailor your answers to show awareness of international data challenges and opportunities.

Understand Kantar’s emphasis on actionable recommendations and the importance of transforming complex data into clear, business-focused insights for clients. Be prepared to discuss how your work aligns with this mission, and how you can contribute to driving client growth through strategic analysis.

4.2 Role-specific tips:

4.2.1 Practice translating ambiguous business requirements into structured analysis plans.
Showcase your ability to clarify vague or evolving project scopes by asking targeted questions, documenting requirements, and outlining concrete steps for analysis. In interviews, use examples where you brought clarity and direction to ambiguous situations, emphasizing your process for stakeholder alignment.

4.2.2 Refine your skills in SQL and Python for data manipulation and reporting.
Expect technical assessments that require you to write queries, aggregate data, and generate actionable metrics. Practice constructing queries that involve complex joins, window functions, and pivots, as well as basic scripting in Python to clean, analyze, and visualize data.

4.2.3 Prepare to discuss business metrics and experiment design.
Demonstrate your understanding of how to select, track, and interpret key performance indicators relevant to product launches, marketing campaigns, and business processes. Be ready to explain your approach to designing A/B tests, choosing control groups, and analyzing outcomes to inform strategic recommendations.

4.2.4 Develop examples of process improvement and data quality initiatives.
Highlight your experience in diagnosing data inconsistencies, implementing validation checks, and driving improvements in ETL pipelines or reporting systems. Share stories where your attention to data quality led to more reliable insights and better business decisions.

4.2.5 Practice presenting complex data insights to non-technical stakeholders.
Refine your presentation skills by structuring findings for clarity, using visuals to tell a story, and tailoring your messaging to the audience’s level of expertise. Prepare examples of how you’ve made technical analyses actionable for business partners with varying backgrounds.

4.2.6 Be ready to demonstrate stakeholder management and influence without authority.
Prepare stories that showcase your ability to build consensus, negotiate scope, and drive adoption of data-driven recommendations, especially when you didn’t have formal decision-making power. Emphasize your communication strategies and adaptability in cross-functional environments.

4.2.7 Reflect on your approach to balancing short-term wins with long-term data integrity.
Think about situations where you had to deliver quick results while maintaining high standards for data quality and reliability. Be prepared to discuss how you prioritize, manage trade-offs, and protect the integrity of analytical deliverables under time pressure.

5.1 How hard is the Kantar Business Analyst interview?
The Kantar Business Analyst interview is moderately challenging, with a strong emphasis on both technical and business acumen. Candidates are expected to demonstrate proficiency in analytics, SQL/Python, business metrics, and the ability to translate complex data into actionable insights for diverse stakeholders. The process also tests your presentation skills, stakeholder management, and adaptability to ambiguous requirements. Success often depends on your ability to communicate clearly and think strategically about data-driven business problems.

5.2 How many interview rounds does Kantar have for Business Analyst?
Kantar typically conducts 4-6 interview rounds for Business Analyst roles. The process starts with an application and resume review, followed by a recruiter screen, technical/case/skills round, behavioral interviews, and a final onsite or panel round. Some candidates may also be asked to complete a take-home assignment or deliver a presentation as part of the assessment.

5.3 Does Kantar ask for take-home assignments for Business Analyst?
Yes, Kantar frequently includes a take-home case study or analytics exercise in the interview process for Business Analyst candidates. These assignments usually involve data analysis, problem-solving, and presentation of findings. You may be given 2-5 days to complete the task, which is designed to evaluate your technical skills, analytical thinking, and ability to communicate insights effectively.

5.4 What skills are required for the Kantar Business Analyst?
Key skills for Kantar Business Analysts include strong analytical and quantitative abilities, proficiency in SQL and Python, experience with metrics-driven decision making, and advanced data visualization. You should also have excellent communication and presentation skills, stakeholder management experience, and a solid understanding of business processes and market research. Familiarity with experiment design, reporting, and data quality assurance is highly valued.

5.5 How long does the Kantar Business Analyst hiring process take?
The typical hiring process for a Kantar Business Analyst spans 2-4 weeks from application to offer. Timelines may vary depending on candidate availability, team schedules, and the complexity of assignments. Fast-track cases can move quickly, while standard pacing allows a few days to a week between each interview stage.

5.6 What types of questions are asked in the Kantar Business Analyst interview?
You can expect a mix of technical and behavioral questions, including SQL/Python exercises, business case studies, metrics analysis, experiment design, and data quality scenarios. There will also be questions focused on stakeholder management, communication, and presenting insights to non-technical audiences. Behavioral questions often explore your approach to ambiguity, conflict resolution, and influencing without authority.

5.7 Does Kantar give feedback after the Business Analyst interview?
Kantar typically provides high-level feedback through recruiters after the interview process. While detailed technical feedback may be limited, you can expect to receive insights on your overall fit and performance in the process. Feedback is usually more specific if you have completed a take-home assignment or presentation.

5.8 What is the acceptance rate for Kantar Business Analyst applicants?
The Kantar Business Analyst role is competitive, with an estimated acceptance rate of 3-7% for qualified applicants. The company seeks candidates who can demonstrate both technical expertise and strong business communication skills, making thorough preparation essential for success.

5.9 Does Kantar hire remote Business Analyst positions?
Yes, Kantar offers remote Business Analyst positions, though availability may vary by team and region. Some roles may require occasional office visits for collaboration, presentations, or team meetings, especially for global projects or client-facing responsibilities. Be sure to clarify remote work options during the interview process.

• Related guides:
  • Kantar Business Analyst interview questions
  • Business Analyst interview guide
  • Top business analyst interview tips

Ready to ace your Kantar Business Analyst interview? It’s not just about knowing the technical skills—you need to think like a Kantar Business Analyst, solve problems under pressure, and connect your expertise to real business impact. That’s where Interview Query comes in with company-specific learning paths, mock interviews, and curated question banks tailored toward roles at Kantar and similar companies.

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