Meta Data Analyst Interview Questions (2026)

Landing a Data Analyst role at Meta requires targeted preparation. Meta uses a structured interview process with a coding round, system design round, and behavioral round. Coding interviews focus on algorithms and data structures with emphasis on optimal solutions. System design questions test your ability to build scalable social and real-time applications. Behavioral questions focus on your ability to move fast and create impact. This guide covers the most frequently asked questions and insider tips to help you succeed in your Meta Data Analyst interview.

About the Meta Interview Process

Meta interviews combine coding assessments with system design and behavioral questions focused on impact and moving fast.

Meta uses a structured interview process with a coding round, system design round, and behavioral round. Coding interviews focus on algorithms and data structures with emphasis on optimal solutions. System design questions test your ability to build scalable social and real-time applications. Behavioral questions focus on your ability to move fast and create impact.

Why Meta Data Analyst Interviews Are Different

Meta Data Analyst interviews differ from standard Data Analyst interviews in several key ways. The company has a unique interview culture, specific evaluation criteria, and expects candidates to demonstrate alignment with their values and mission. Understanding these differences gives you a significant advantage over other candidates.

Top 10 Data Analyst Interview Questions at Meta

1. At Meta, you might be asked: Write a SQL query to find the top 5 customers by revenue.
2. At Meta, you might be asked: How do you clean and prepare data for analysis?
3. At Meta, you might be asked: What data visualization tools have you used?
4. Expect this at Meta: Describe a time your analysis uncovered an unexpected insight.
5. At Meta, you might be asked: How do you determine which metrics matter for a business question?
6. Meta candidates should prepare for: Explain the difference between a left join and an inner join.
7. At Meta, you might be asked: How do you handle conflicting data from different sources?
8. Meta interviewers often ask: What is A/B testing and how do you evaluate results?
9. A common Meta interview question: Describe your experience building dashboards and reports.
10. Meta interviewers often ask: How do you ensure data accuracy in your analyses?

Meta-Specific Preparation Tips for Data Analyst Candidates

• Practice medium to hard coding problems focusing on optimal time and space complexity
• Study system design for social networks, messaging, and real-time feeds
• Prepare stories demonstrating bold decisions and moving fast with impact
• Be ready to discuss how you handle disagreements and drive consensus
• Practice coding on a shared screen or whiteboard environment

General Data Analyst Interview Tips

• Master SQL — it comes up in almost every data analyst interview
• Practice creating compelling data visualizations
• Prepare examples of business impact from your analyses
• Be comfortable with Excel, Tableau, or Power BI

Preparation Timeline for Meta Data Analyst Interviews

• 4 weeks before: Research Meta culture, recent news, and the specific team you are applying to.
• 2-3 weeks before: Practice technical questions daily and prepare behavioral stories using the STAR method.
• 1 week before: Do full mock interviews with HireFlow AI simulating Meta interview style.
• Day before: Review your notes, prepare questions for the interviewer, and get a good night of rest.

Practice Meta Data Analyst Interview with HireFlow AI — our AI adapts to Meta's interview style and gives real-time feedback.