monday Product Analyst interview questions & guide 2026

The questions below represent common patterns observed in monday interviews. While specific inquiries may shift based on the team's current focus, you should prepare for a blend of technical proficiency and product intuition.

Technical Proficiency (SQL & Data)

These questions evaluate your ability to manipulate data and derive insights under pressure. You will be expected to demonstrate mastery of complex SQL operations.

• Write a query to calculate user retention rates over a specific cohort period.
• Explain how you would use window functions to identify the first and last actions of a user session.

Preparation for monday requires a balance of technical readiness and a "product-first" mindset. You should be prepared to explain not just how you arrive at an answer, but why that answer drives business value.

Technical Competency – You must be fluent in SQL, including advanced features like window functions, CTEs, and complex joins. Interviewers look for clean, efficient, and readable code that can handle real-world data scenarios.

Product Intuition – You will be evaluated on your ability to connect data points to user behavior. Demonstrate that you understand the monday product, its target audience, and the key performance indicators that drive a SaaS business.

Communication & Influence – Data is only useful if it is understood by others. Practice articulating your findings clearly, ensuring you can bridge the gap between technical complexity and business strategy for your stakeholders.

Problem-Solving Structure – When faced with an ambiguous case study, use a structured framework. Start by clarifying the goal, defining the success metrics, and then detailing your analytical approach.

The interview process at monday is designed to be rigorous but also highly collaborative. Candidates typically navigate a series of stages that move from initial screening to deep-dive technical assessments and, finally, to stakeholder and leadership interviews. The flow is intended to test your skills in stages, ensuring that by the time you reach the final round, you have demonstrated both the hard skills required for the daily work and the cultural alignment necessary to succeed in a fast-moving team.

The process often starts with an HR screen, followed by technical SQL assessments that may be conducted live or as take-home assignments. You can expect to meet with various members of the team—from peers and team leads to directors—to discuss your past experience, your approach to data, and your ability to work with product teams.

This visual timeline illustrates the typical progression from initial screening to final decision. Use this to pace your preparation, focusing on SQL and case studies early in the process and shifting toward behavioral narratives and experience-based discussions as you move closer to the final stages.

SQL & Data Engineering

This area is non-negotiable. You are expected to demonstrate high proficiency in querying large datasets.

Be ready to go over:

• Window Functions – Essential for time-series analysis and sessionization.
• CTE Usage – Demonstrating clean, modular code structure.
• Data Integrity – How you validate data before presenting insights.

Example scenarios:

• Writing queries to calculate churn or retention rates.
• Optimizing a slow-running query provided by the interviewer.

Product Analytics & A/B Testing

This measures your ability to apply data to product development cycles.

Be ready to go over:

• A/B Testing Methodology – Designing tests, calculating sample sizes, and interpreting results.
• Metric Selection – Identifying North Star metrics versus vanity metrics.
• Root Cause Analysis – Systematically debugging a decline in a product metric.

Example scenarios:

• "How would you determine if a feature is successful?"
• "Design an experiment to test a change in the pricing model."

As a Product Analyst, you will be responsible for the full lifecycle of data-driven projects. Your day-to-day will involve collaborating closely with product managers to define what success looks like for new feature releases. You will translate these business goals into analytical requirements, build the necessary tracking, and perform the deep-dive analysis required to iterate on the product.

You will act as the bridge between the raw data and the product roadmap. This involves building automated dashboards to monitor platform health, presenting findings to stakeholders to influence product direction, and frequently acting as an advisor on experimental design. You are not just supporting the product team; you are helping to shape the product itself through the insights you uncover.

A strong candidate for this role is typically someone who has a solid background in analytical roles within a software or product-driven company.

• Must-have skills:

  • Advanced SQL proficiency (Joins, Window Functions, CTEs).
  • Experience in product analytics (retention, conversion, A/B testing).
  • Ability to communicate complex data to non-technical stakeholders.
  • Experience with data visualization tools.

• Nice-to-have skills:

  • Prior experience in a SaaS environment.
  • Familiarity with data modeling and data warehouse architecture.
  • Experience with statistical programming (Python or R) for more advanced analysis.

Q: How difficult is the technical portion of the interview? The technical assessment is generally considered to be of average difficulty, provided you are comfortable with intermediate to advanced SQL. The focus is on writing clean, efficient, and accurate queries.

Q: What is the best way to prepare for the product case study? Focus on structure. Always start by identifying the business goal, define the metrics you would track, and then explain how you would isolate variables to draw a conclusion.

Q: Does the company value product-specific knowledge? Yes. While general analytical skills are primary, demonstrating that you have explored the monday platform and understand its value proposition will give you a significant advantage.

Q: How long does the process take? The process typically involves several stages and can span a few weeks. It is important to stay responsive and keep track of your progress through the different rounds.

• Structure your answers: Use the STAR method (Situation, Task, Action, Result) for behavioral questions to ensure your answers are concise and impactful.
• Be inquisitive: Ask questions about the team’s current data stack or the most pressing problems they are currently solving. This shows genuine interest.
• Don't hide your process: When solving a live coding problem, talk through your thought process. Interviewers care as much about how you think as they do about the final query.

The Product Analyst role at monday is a high-visibility position that offers a unique opportunity to influence one of the most dynamic SaaS products in the market. By blending technical rigor with a deep understanding of user behavior, you will play a pivotal role in the company's continued growth and innovation.

Preparation is key to navigating the multi-stage interview process effectively. Focus on mastering your SQL fundamentals, sharpening your product intuition, and practicing the clear communication of your analytical findings. You can explore additional interview insights, practice questions, and preparation resources on Dataford to ensure you are fully prepared for your upcoming interviews.

The compensation data provided above reflects typical market ranges for this role. Candidates should interpret these figures as a guideline, as final offers are influenced by individual experience, seniority, and specific team requirements.