monday Business Analyst interview questions & guide 2026

The following questions reflect patterns from recent interview experiences. While your specific interviewers may vary, expect a mix of technical rigor and situational problem-solving.

Technical & SQL Proficiency

These questions test your ability to manipulate data efficiently and handle complex queries.

• Can you write a SQL query using window functions and CTEs to calculate specific performance metrics?
• Given a raw data set, how would you structure a query to identify trends in user churn or marketing funnel drop-off?

Preparation should focus on demonstrating how your analytical skills directly solve business problems. monday values candidates who are proactive, independent, and capable of "owning" their domain.

Role-related Knowledge – This includes your mastery of SQL and data visualization tools. You must be able to write clean, efficient code under pressure and explain your technical choices clearly.

Problem-solving Ability – Interviewers look for how you structure your thinking. When faced with a case study, focus on defining the business goal, identifying the necessary metrics, and outlining a logical path to a solution.

Communication & Influence – As a Business Analyst, your output is only as good as your ability to persuade. Practice articulating the "so what" behind your data—always connect your findings to business outcomes and strategic goals.

Cultural Alignment – monday thrives on speed, ownership, and direct collaboration. Demonstrate that you are a self-starter who values transparency and is comfortable working in a fast-paced, sometimes ambiguous environment.

The interview journey at monday is designed to evaluate both your technical craftsmanship and your ability to function as a strategic business partner. While the specific number of rounds can vary by location and seniority, you should expect a multi-stage process that shifts from technical screening to behavioral and case-based assessments.

The process often begins with an HR screen to assess your background, followed by one or more technical assessments—frequently including a live SQL coding session. You will likely encounter a "product sense" or case study round, which may involve a take-home assignment or a live presentation. Final rounds typically involve meeting with team leads or directors to discuss your leadership potential and cultural fit.

This visual timeline illustrates the typical progression from initial screening to final decision. Use this to pace your preparation—prioritize technical review early, while reserving time to refine your storytelling and case-study presentation skills for the later, more strategic interviews.

Technical & Analytical Rigor

The foundation of the role is your ability to handle data. Performance is measured by the accuracy, efficiency, and clarity of your SQL queries and analytical approach.

Be ready to go over:

• SQL Mastery – Proficiency with window functions, complex joins, and CTEs is expected.
• Metric Definition – Ability to define KPIs that accurately reflect business health.
• Data Visualization – Creating intuitive dashboards that tell a story rather than just displaying numbers.

Example questions or scenarios:

• "Calculate the cohort retention rate using this data structure."
• "How would you design a dashboard to track a new marketing campaign's ROI?"

Product & Business Intuition

This area measures your ability to understand the monday platform and the broader SaaS ecosystem.

Be ready to go over:

• Product Understanding – Familiarize yourself with the monday platform features and the user experience.
• A/B Testing – Understanding the statistical and business implications of experiments.
• Funnel Analysis – Identifying where users drop off and proposing data-backed improvements.

Example questions or scenarios:

• "If we want to increase the adoption of a specific feature, what metrics would you track?"
• "How do you explain a counter-intuitive data result to a product manager?"

As a Business Analyst, you will be responsible for providing the "single source of truth" for your team. You will spend your time querying databases to extract insights, building automated reports to track performance, and presenting your findings to leadership. You are expected to be highly independent, often identifying opportunities for optimization before they are assigned to you.

Collaboration is constant. You will work closely with the central analytics team to ensure data consistency while maintaining direct communication with business stakeholders like the CMO or sales leadership. Whether you are building a QBR presentation or troubleshooting a drop in pipeline conversion, your work is the foundation upon which strategic decisions are built.

A competitive candidate demonstrates both deep technical expertise and the soft skills required to navigate a fast-moving organization.

• Must-have skills:

• 5+ years of experience in a B2B/SaaS environment.

• Advanced SQL proficiency and experience with data visualization tools (e.g., Tableau, Looker).

• Proven ability to translate complex data into compelling narratives for senior leaders.

• Experience with Sales-Led Growth (SLG) models and pipeline generation metrics.

• Nice-to-have skills:

• Experience in marketing analytics or product-led growth (PLG) environments.

• Prior experience working in a fast-paced, high-growth startup environment.

• Ability to manage stakeholders independently without daily oversight.

Q: How long does the entire process usually take? The process typically spans a few weeks, though it varies by location. Expect a week or more between major stages for scheduling and internal review.

Q: Is the technical assessment very difficult? The SQL assessments are generally viewed as junior-to-mid level in complexity. Focus on writing clean, readable code rather than overly optimized "hacker" solutions.

Q: What is the biggest differentiator for successful candidates? The ability to connect data to business impact. Candidates who can explain not just what the data says, but what the business should do next, consistently stand out.

Q: How should I prepare for the product demo? Spend time exploring the monday platform. Understand the core value propositions and think about the platform from an analytical perspective—what data points would be most valuable to track for a user?

• Own your narrative: Be prepared to discuss your past projects in terms of the business problems you solved, not just the tools you used.
• Prioritize clarity: When presenting data, assume your audience is busy. Lead with the insight, then back it up with the data.
• Be proactive: In your interviews, ask insightful questions about the company's current data challenges. It demonstrates that you are already thinking like a member of the team.
• Prepare for ambiguity: You may be asked questions where there is no "correct" answer. Focus on showing your logical process and how you arrive at a defensible conclusion.

The Business Analyst role at monday is a high-impact position that offers a unique vantage point into the company’s strategic decision-making. By focusing on your technical fluency in SQL, honing your ability to build persuasive data-driven narratives, and demonstrating a proactive ownership mindset, you will be well-positioned to succeed in your interviews.

Preparation is the single most effective way to manage the rigor of this process. We encourage you to explore additional interview insights, practice questions, and strategic preparation resources on Dataford to sharpen your approach. You have the skills to make a significant contribution to monday, and with focused, deliberate preparation, you can confidently demonstrate your value to the team.

The compensation data provided covers base salary ranges. Keep in mind that total compensation at monday often includes discretionary bonuses and equity, which are determined based on your specific level, experience, and the company’s internal performance plans. Use these figures as a benchmark to ensure your expectations align with the market and the scope of the role.