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The Interview Process
Data Assessment (SQL/Python)
Testing your ability to clean and analyze messy, disparate datasets (e.g., combining EPOS retail data, distributor depletion data, and Nielsen market share data).
Marketing Mix Modeling Case
You are given media spend and sales velocity data. You must build a model demonstrating which channels (TV, Social, Search) drove the highest actual ROI.
Stakeholder Presentation
You must present your technical findings to non-technical brand managers in a way that drives a clear commercial decision.
Real Diageo Interview Questions
Practice these exact questions faced by previous Advanced Analytics / Data Insights Manager candidates.
1In the alcohol industry, we often don't sell directly to the consumer; we sell to distributors (Tier 1) who sell to retailers (Tier 2). Walk me through how you build a predictive demand forecasting model when you lack perfect, real-time POS (Point of Sale) data from the end consumer. (Demand Sensing / Data Gaps)
2(Storytelling) Your cluster analysis reveals that a major advertising campaign targeting 'young professionals' is actually over-indexing wildly with a much older demographic, meaning the creative is missing the mark. The agency is defensive. How do you present the data to force a creative pivot? (Data Translation / Influence)
3Write an advanced SQL query to identify 'Brand Switching' behavior: Find consumers who historically purchased Smirnoff every month, but over the last 90 days have continuously substituted it with a competitor's premium vodka. (Advanced SQL / Consumer Behavior)
4How do you design a robust A/B testing framework to measure the true incremental ROI of a digital advertising campaign for an alcohol brand, factoring in the strict legal age-gating requirements that limit your addressable audience? (Experimentation / Compliance)
5Tell me about a time you utilized predictive analytics (e.g., weather patterns, local events, historical consumption) to accurately forecast hyper-local demand spikes for the On-Trade (bars/clubs) channel. (Predictive Modeling / Commercial Impact)
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