To succeed, you need to understand exactly what the hiring team is looking for in each specific domain. Below is a detailed breakdown of the core evaluation areas you will face.
Marketing Metrics and Attribution
Your ability to measure and attribute marketing success is the most critical component of this role. Interviewers want to know if you understand how to track a user from their first ad click to becoming a transacting Airwallex customer. Strong performance here means moving beyond basic definitions and discussing how these metrics interact in a complex, multi-channel B2B environment.
Be ready to go over:
- Customer Lifetime Value (LTV) vs. CAC – How to calculate these metrics, how they vary by customer segment, and what constitutes a healthy ratio for a scaling fintech.
- Attribution Modeling – The differences between first-touch, last-touch, linear, and data-driven attribution, and when to apply each.
- Funnel Conversion Analysis – Identifying drop-offs in the user journey and proposing data-backed solutions to improve conversion rates.
- Advanced concepts (less common) – Media mix modeling (MMM), incrementality testing, and handling cross-device tracking challenges.
Example questions or scenarios:
- "How would you design an attribution model for a B2B customer who interacts with our LinkedIn ads, attends a webinar, and then signs up via an organic search three months later?"
- "If our overall CAC is increasing but our marketing spend has remained flat, what data points would you investigate to find the root cause?"
- "Walk me through how you would calculate the LTV of a new enterprise client using historical transaction data."
Technical Data Skills (SQL & Visualization)
You cannot be a successful analyst at Airwallex without strong technical fundamentals. This area evaluates your ability to independently query databases, clean messy data, and build automated dashboards. Interviewers are looking for efficiency, accuracy, and an understanding of how to structure data for scalability.
Be ready to go over:
- Advanced SQL – Window functions, complex joins, CTEs (Common Table Expressions), and performance optimization.
- Data Visualization – Best practices for building dashboards in tools like Tableau or Looker that are intuitive for marketing stakeholders.
- Data Cleaning and Validation – Techniques for identifying anomalies, handling missing values, and ensuring data integrity before analysis.
- Advanced concepts (less common) – Basic Python or R for statistical analysis, and familiarity with ETL pipelines.
Example questions or scenarios:
- "Write a SQL query to find the top 5 marketing campaigns by ROI over the last 30 days, given a 'spend' table and a 'revenue' table."
- "How would you design a self-serve dashboard for the performance marketing team to track daily ad spend across multiple regions?"
- "Tell me about a time you discovered a significant error in a dataset. How did you handle it and communicate the impact to your stakeholders?"
Experimentation and A/B Testing
Airwallex relies on continuous experimentation to optimize its marketing efforts. You will be evaluated on your understanding of statistical principles and your practical ability to design, execute, and interpret A/B tests. A strong candidate will confidently explain the math behind the tests while keeping the business context in mind.
Be ready to go over:
- Hypothesis Generation – How to formulate clear, testable hypotheses based on exploratory data analysis.
- Test Design – Determining sample size, calculating minimum detectable effect (MDE), and defining success metrics.
- Statistical Significance – Understanding p-values, confidence intervals, and the risks of false positives (Type I errors) and false negatives (Type II errors).
- Advanced concepts (less common) – Multi-armed bandit testing, multivariate testing, and network effects in experimentation.
Example questions or scenarios:
- "We want to test a new landing page design for our global payments product. How would you determine how long the test needs to run?"
- "If an A/B test shows a 5% increase in click-through rate but a 2% decrease in final conversions, what would you recommend to the marketing team?"
- "Explain statistical power to a non-technical marketing manager."
Business Case and Strategy
This area tests your commercial acumen and your ability to act as a strategic partner to the business. Interviewers will present you with open-ended business problems to see how you structure your thinking. Strong performance requires asking clarifying questions, breaking the problem down into logical components, and making actionable recommendations.
Be ready to go over:
- Market Expansion Strategy – Using data to evaluate which new geographic markets Airwallex should target next.
- Budget Allocation – Deciding how to distribute a fixed marketing budget across different channels to maximize overall growth.
- Product-Marketing Fit – Analyzing user behavior to identify which product features should be highlighted in future campaigns.
- Advanced concepts (less common) – Competitive analysis using third-party data and macroeconomic trend impact on marketing performance.
Example questions or scenarios:
- "If you were given an additional $500,000 in marketing budget for the APAC region, how would you determine where to allocate it?"
- "Our new user acquisition has stalled in a key market despite consistent ad spend. Walk me through your framework for diagnosing the problem."
- "How do you balance the need for short-term lead generation with long-term brand building in your analytics?"
