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Zomato Business Analyst Interview Exp
✍️ By MONU SINGH | 11/18/2025
Zomato Business Analyst Interview Experience
Cracking the Zomato Business Analyst interview requires a mix of SQL mastery, product sense, and data-driven business thinking. Here’s a complete breakdown of how the interview rounds went
⸻
Round 1: SQL + Data Analysis
Questions included:
•
Find customers who ordered from the same restaurant more than 3 times in a
month.
•
Identify restaurants with increasing monthly revenue for the last 3 months.
•
Write a query to find repeat customers whose average order value exceeds the
city average.
•
Calculate cancellation rate per city and identify top 3 cities with the worst
rates.
• Find the restaurant with maximum new customers this quarter.
Bonus Challenge:
“If
a restaurant’s orders suddenly dropped by 30%, how would you diagnose the issue
using SQL and data analysis?”
⸻
Round 2: Business Case Study
Prompt:
“Zomato Gold usage has
fallen by 20% in the last quarter. How would you identify the reason and fix
it?”
Key areas to focus on:
•
Metrics: Renewal rate, ARPU, discount usage, and churn rate
•
Strategies: A/B testing, customer segmentation, retention incentives
• Outcome: Clear linkage between business metrics and actionable insights
⸻
Round
3: Product & Metrics Round
•
Define Zomato’s North Star Metric.
•
What KPIs would you track for delivery partner efficiency?
•
How would you measure the success of a new loyalty program?
•
If average delivery time increases by 10%, what downstream metrics will get
affected?
⸻
Round 4: Behavioral +
Communication
•
Describe a time when data contradicted your initial assumption.
•
How do you simplify complex analyses for non-technical stakeholders?
•
How do you deal with incomplete or inconsistent data during analysis?
⸻
Round 5: Excel + Dashboarding
•
Build a dashboard for daily orders, cancellations, and GMV trends.
•
Show how delivery delays correlate with customer churn using Power BI or
Tableau.
• Detect anomalies in datasets using pivot tables and calculated fields.
⸻
Key points
Strong
fundamentals in SQL, structured thinking, and clear business reasoning made the
difference.
⸻
Preparation Focus:
. Business metrics & case frameworks
. Visualization tools (Tableau, Power BI)
. Communication & storytelling with data
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