Match Group Business Intelligence Interview Questions + Guide in 2025

Match Group is a global leader in dating services, dedicated to fostering genuine connections through its innovative platforms.

As a Business Intelligence Engineer at Match Group, you will play a pivotal role in empowering the organization with data-driven insights. Your key responsibilities will include developing self-service analytical tools that enable stakeholders across the business to explore data independently and derive actionable insights. You will be tasked with migrating SQL transformations into robust dbt models, ensuring data is effectively modeled in Looker for optimal reporting performance, and creating engaging dashboards that facilitate rapid insight extraction. Collaboration with various teams will be essential, as you will need to translate business needs into effective reporting and analytics solutions. A strong understanding of data modeling principles will be crucial, as you partner with Data Engineering to design and maintain a scalable analytics data warehouse.

The ideal candidate will have at least 5 years of experience in business intelligence or related fields, demonstrating expertise in advanced SQL, Looker (with a focus on LookML), and dbt. Strong communication skills, the ability to work within an agile team, and a passion for using data to drive decisions will be traits that align with Match Group's values of authenticity, courage, and empathy.

This guide will help you prepare for your interview by providing insights into the role's expectations, key skills to highlight, and the company culture that shapes the work environment.

The interview process for a Business Intelligence role at Match Group is structured to assess both technical skills and cultural fit within the organization. It typically consists of several key stages:

1. Initial Recruiter Screening

The process begins with a phone screening conducted by a recruiter. This initial conversation lasts around 20-30 minutes and focuses on your resume, previous experiences, and motivations for applying to Match Group. The recruiter will also gauge your understanding of the role and the technologies relevant to business intelligence, such as SQL and data visualization tools.

2. Technical Assessment

Following the recruiter screening, candidates are often required to complete a technical assessment. This may involve a project that spans several days, where you will be tasked with developing a solution that demonstrates your analytical skills and technical proficiency. The project is designed to evaluate your approach to problem-solving and your ability to apply your knowledge in a practical context.

3. Peer Review

After the technical assessment, candidates typically participate in a peer review session with engineers or other team members. This step allows the team to assess your collaborative skills and how well you can communicate your thought process and findings. It also provides an opportunity for you to receive feedback on your project and discuss your methodologies.

4. Final Interview Rounds

The final stage consists of multiple interview rounds, usually around five, with various stakeholders including hiring managers and team leads. These interviews delve deeper into your technical expertise, particularly in SQL, data modeling, and visualization tools like Looker. Expect to discuss your past projects, how you handle data challenges, and your experience with dashboard creation. Behavioral questions will also be included to assess your alignment with the company’s values and culture.

Throughout the interview process, candidates are encouraged to demonstrate their strong fundamentals in technology and analytics, as well as their ability to translate business needs into actionable insights.

As you prepare for your interviews, consider the types of questions that may arise in these discussions.

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

Master Your Technical Fundamentals

Given the emphasis on SQL and data modeling in the Business Intelligence role, ensure you have a solid grasp of SQL concepts and practices. Be prepared to discuss your experience with complex queries, data transformations, and how you’ve utilized SQL in past projects. Familiarize yourself with dbt and Looker, as these tools are crucial for the role. Demonstrating a strong understanding of these technologies will not only showcase your technical skills but also your ability to contribute effectively to the team.

Prepare for Problem-Solving Questions

Interviews at Match Group often focus on how you approach problems. Be ready to discuss specific challenges you've faced in your previous roles and how you resolved them. Use the STAR (Situation, Task, Action, Result) method to structure your responses. This will help you articulate your thought process clearly and demonstrate your analytical skills, which are vital for a Business Intelligence Engineer.

Showcase Your Project Experience

Be prepared to discuss your previous projects in detail, especially those that involved data visualization and dashboard creation. Highlight the impact of your work on decision-making processes within your organization. If you have experience with self-service tools, make sure to mention how you’ve empowered stakeholders to access and analyze data independently. This aligns with the company’s goal of making insights more visible and accessible.

Emphasize Collaboration and Communication Skills

Match Group values superb communication and collaboration skills. Be ready to discuss how you’ve worked with cross-functional teams in the past. Share examples of how you’ve translated complex data insights into actionable recommendations for non-technical stakeholders. This will demonstrate your ability to bridge the gap between technical and business teams, a key aspect of the role.

Understand the Company Culture

Familiarize yourself with Match Group’s core values: authenticity, courage, and empathy. Reflect on how these values resonate with your personal and professional experiences. During the interview, express how you embody these values in your work. This will not only show that you are a good cultural fit but also that you are genuinely interested in contributing to the company’s mission.

Be Ready for a Conversational Interview Style

Interviews at Match Group tend to be more conversational than formal. Approach the interview as a dialogue rather than a one-sided Q&A. Engage with your interviewers by asking insightful questions about the team, projects, and company direction. This will help you build rapport and demonstrate your enthusiasm for the role.

Follow Up Thoughtfully

After your interview, send a thoughtful follow-up email thanking your interviewers for their time. Use this opportunity to reiterate your interest in the position and briefly mention a key point from your discussion that you found particularly engaging. This not only shows your professionalism but also keeps you top of mind as they make their decision.

By following these tips, you’ll be well-prepared to showcase your skills and fit for the Business Intelligence role at Match Group. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Business Intelligence interview at Match Group. The interview process will likely focus on your technical skills, problem-solving abilities, and your experience in data analytics and visualization. Be prepared to discuss your past projects, your approach to data modeling, and how you can contribute to the company's goals.

Technical Skills

1. Can you explain your experience with SQL and how you have used it in your previous roles?

Your SQL proficiency is crucial for this role, so be ready to discuss specific projects where you utilized SQL for data analysis or reporting.

How to Answer

Highlight your experience with SQL, focusing on complex queries, data manipulation, and any specific databases you have worked with.

Example

“In my previous role, I used SQL extensively to extract and analyze data from our customer database. I created complex queries to generate reports that informed our marketing strategies, which led to a 20% increase in user engagement.”

2. Describe a project where you used Looker for data visualization. What challenges did you face?

This question assesses your practical experience with Looker and your problem-solving skills.

How to Answer

Discuss a specific project, the challenges you encountered, and how you overcame them while emphasizing the impact of your work.

Example

“I worked on a project where I had to create a dashboard in Looker for our sales team. The challenge was ensuring the data was accurate and up-to-date. I collaborated with the data engineering team to streamline the data pipeline, which improved the dashboard's performance and reliability.”

3. How do you approach data modeling in a BI context?

Understanding data modeling is essential for this role, so be prepared to explain your methodology.

How to Answer

Discuss your approach to data modeling, including the principles you follow and any tools you use.

Example

“I start by understanding the business requirements and the data sources available. I then create an entity-relationship diagram to visualize the data structure, ensuring that it aligns with the reporting needs. I prioritize performance and scalability in my models.”

4. Can you explain what dbt is and how you have used it in your work?

This question tests your familiarity with dbt, a key tool for data transformation.

How to Answer

Provide a brief overview of dbt and discuss how you have implemented it in your projects.

Example

“dbt is a data transformation tool that allows analysts to write modular SQL queries. I used dbt to create a series of transformations that cleaned and organized our sales data, making it easier for the BI team to generate insights quickly.”

5. What are some best practices for creating effective dashboards?

This question assesses your knowledge of dashboard design principles.

How to Answer

Discuss the key elements of effective dashboard design, including user experience and data visualization techniques.

Example

“Effective dashboards should be user-friendly and visually appealing. I focus on clarity by using appropriate charts and graphs, ensuring that key metrics are highlighted. I also gather feedback from users to continuously improve the dashboard’s functionality.”

Problem-Solving and Collaboration

1. Tell me about a time you had to work with stakeholders to gather requirements for a BI project.

This question evaluates your communication and collaboration skills.

How to Answer

Share a specific example of how you engaged with stakeholders to understand their needs and how you translated those into actionable insights.

Example

“I worked closely with the marketing team to understand their reporting needs for a new campaign. I conducted a series of meetings to gather requirements and then developed a dashboard that provided real-time insights into campaign performance, which they found invaluable.”

2. Describe a situation where you had to troubleshoot a data issue. What steps did you take?

This question assesses your analytical thinking and troubleshooting skills.

How to Answer

Outline the steps you took to identify and resolve the issue, emphasizing your analytical approach.

Example

“When I noticed discrepancies in our sales reports, I first traced the data back to its source. I discovered that a recent update to our data pipeline had introduced errors. I collaborated with the data engineering team to fix the issue and implemented checks to prevent it from happening again.”

3. How do you prioritize tasks when working on multiple BI projects?

This question evaluates your time management and organizational skills.

How to Answer

Discuss your approach to prioritization, including any tools or methods you use to manage your workload.

Example

“I prioritize tasks based on their impact on the business and deadlines. I use project management tools to track progress and ensure that I’m meeting stakeholder expectations. Regular check-ins with my team also help me stay aligned on priorities.”

4. Can you give an example of how you have influenced decision-making through your BI work?

This question assesses your ability to drive business outcomes through data insights.

How to Answer

Share a specific instance where your analysis led to a significant decision or change within the organization.

Example

“I conducted an analysis that revealed a drop in user engagement on our platform. I presented my findings to the leadership team, which led to a strategic pivot in our marketing approach, ultimately increasing user retention by 15%.”

5. What do you consider your biggest weakness in the context of BI, and how are you working to improve it?

This question allows you to demonstrate self-awareness and a commitment to professional growth.

How to Answer

Identify a genuine area for improvement and discuss the steps you are taking to address it.

Example

“I’ve found that I sometimes focus too much on the technical aspects of a project and overlook the user experience. To improve, I’ve started involving end-users earlier in the process to gather their feedback and ensure that the solutions I develop meet their needs.”