Ekimetrics Interview Questions
The questions to prepare for Ekimetrics interviews, across all roles. Questions from real interview reports rank first. Updated daily.
Calculate daily sales and a date-based 30-day rolling average using PostgreSQL window functions.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Explain why an observed marketing relationship can be correlated without being causal, and how you would validate a true causal effect.
Design a north-star metric and measurement plan to determine whether Ekimetrics' loyalty program creates sustained customer and business value.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Discuss a large-scale data analysis project with focus on the pipeline, tooling, and data quality approach.
Explain a practical approach for handling missing values and noisy observations in a supervised learning dataset.
Evaluates analytical rigor and structured thinking for market sizing work.
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