Criteo Business Intelligence Analyst interview questions & guide 2026

Interview questions at Criteo are designed to test your technical proficiency, your ability to communicate complex ideas, and your familiarity with the company’s core business model. Expect a mix of hands-on technical assessment and situational questions that explore your past experience.

Technical Proficiency

These questions test your core competency in industry-standard data tools and your ability to extract insights from large datasets.

• How do you handle large volumes of data in SQL to obtain key insights?
• Can you describe a project where you applied SQL or PowerBI to solve a specific business problem?

Preparation for Criteo should focus on demonstrating how your technical skills translate into business impact. You should be prepared to discuss not just the "how" of your technical work, but the "why."

Technical Competence – This is the baseline for the role. You must demonstrate high proficiency in SQL and visualization tools like PowerBI. Interviewers will look for your ability to write efficient queries and create intuitive, meaningful reports.

Communication and Storytelling – Data is only as valuable as the insights derived from it. You will be evaluated on your ability to explain complex technical findings to non-technical stakeholders in a clear, concise manner.

Business Acumen – Understand the ad-tech landscape. You should be able to articulate how a Business Intelligence Analyst contributes to the specific goals of a company like Criteo. Being able to connect your technical work to broader business objectives is a key differentiator.

The interview process at Criteo typically begins with an initial screening to gauge your background and interest. You can expect a series of discussions ranging from technical assessments to interviews with team members and managers. The process is designed to be rigorous, focusing on both your hard skills and how you approach problem-solving in a collaborative team setting.

The visual timeline above provides a high-level view of the progression from initial contact to final stages. Use this to pace your study schedule, ensuring you have enough time to brush up on SQL syntax and review your past projects before the technical rounds. Note that processes can vary slightly based on the specific team or office location.

Data Manipulation and SQL

This is the heart of the role. You will be evaluated on your efficiency and accuracy when querying large databases.

• Query Optimization – Understanding how to write performant SQL queries for massive datasets.
• Data Transformation – Your ability to clean and structure data for analysis.
• Advanced Concepts – Window functions, complex joins, and subqueries.

As a Business Intelligence Analyst, your day-to-day will involve bridging the gap between raw data and strategic direction. You will likely spend your time writing and optimizing SQL queries to extract data, maintaining and improving PowerBI dashboards, and collaborating with cross-functional teams to identify key performance indicators.

You will often work with product and operations teams to translate their requirements into data assets. This means you aren't just a "data processor"—you are a consultant. You will be expected to proactively suggest improvements to data processes and identify trends that others might miss.

A strong candidate for this role possesses a blend of technical rigor and a business-oriented mindset.

• Must-have skills: Proficient SQL skills (required for data extraction and manipulation), experience with PowerBI or similar visualization platforms, and strong analytical thinking.
• Soft skills: Clear communication, intellectual curiosity, and the ability to work independently in a collaborative environment.
• Nice-to-have skills: Prior experience in the ad-tech industry, familiarity with data warehousing concepts, and experience automating recurring reports.

Q: How difficult are the technical interviews? A: The difficulty is generally considered average, but it is highly dependent on your preparation. Focus on being able to write clean, efficient SQL queries under pressure.

Q: What differentiates successful candidates? A: Candidates who succeed are those who can connect their technical work to the business outcomes. Don't just show your code; explain why you chose a specific approach and how it helped the business.

Q: What is the typical timeline? A: While timelines vary, you should expect the process to take several weeks, involving multiple rounds of interviews. Always follow up professionally if you have not heard back within the expected timeframe.

• Understand the Business: Research Criteo and its role in the advertising ecosystem. Knowing how the company makes money will help you frame your answers.
• Prepare Your Portfolio: Have concrete examples of dashboards or analyses you have performed. Being able to talk through a "before and after" scenario is powerful.
• Practice Your Story: Use the STAR method (Situation, Task, Action, Result) to structure your answers to behavioral questions.
• Be Transparent: If you don't know an answer, communicate your thought process. Interviewers often value your approach to finding a solution over knowing the answer immediately.

The Business Intelligence Analyst role at Criteo offers an excellent opportunity to work with high-scale data in a dynamic industry. By focusing on your SQL proficiency, your ability to communicate data-driven insights, and your understanding of the ad-tech space, you position yourself as a strong, competitive candidate.

Success in this process is rooted in preparation and the ability to demonstrate your value through past experiences. Remember to clearly articulate how your work impacts the business at every stage. You can explore additional interview insights, practice questions, and preparation resources on Dataford. You have the skills to succeed; stay focused, stay confident, and approach each interview as an opportunity to showcase your analytical mindset.

The compensation module above provides insights into the salary ranges and components associated with this role. Use this data to help manage your expectations and prepare for potential discussions regarding total rewards and benefits during the final stages of the interview process.