ICON Interview Questions
The questions to prepare for ICON interviews, across all roles. Questions from real interview reports rank first. Updated weekly.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
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Discuss the data integration tools you have used and how they fit into ETL, orchestration, and data quality workflows.
ICONExplain how you use SQL analysis to build dashboards, choose visuals, and communicate insights to stakeholders.
ICONUse joins, CTEs, aggregations, and CASE logic to flag payment cards with anomalous Lyft trip activity.
LyftUse CTEs, joins, aggregations, and CASE logic to flag Lyft driver accounts with suspicious early activity patterns.
LyftFind the top 3 users by completed transaction volume in the last 30 days using joins and aggregation.
Revolut
ChimeExplain your experience building predictive models, from feature work and validation to tuning and deployment.
ICONExplain your approach to model evaluation, including how you choose and interpret metrics for different ML problems.
ICONTests compensation alignment for the Research Scientist role.
ICONTests your ability to connect analytics outcomes to clinical and patient-relevant value.
ICON