ICON Interview Questions
The questions to prepare for ICON interviews, across all roles. Questions from real interview reports rank first. Updated daily.
Give a specific, self-aware account of your strengths and weaknesses, supported by relevant examples and improvement actions.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Summarize relevant product experience, emphasizing user needs, decisions, outcomes, and lessons learned.
Describe a practical approach to data governance across shared data pipelines, including quality, ownership, lineage, and controlled data access.
Explain how you use SQL analysis to build dashboards, choose visuals, and communicate insights to stakeholders.
Deduplicate Centene membership and claims records, then calculate daily member and claim totals.
CenteneUse CTEs, joins, aggregations, and CASE logic to flag Lyft driver accounts with suspicious early activity patterns.
LyftIdentify invalid, duplicated, outlier, and chronologically inconsistent transit records using PostgreSQL.
NVIDIACraft a concise self-introduction that highlights fit, communication style, and relevance for an Account Executive role.
Explain your experience building predictive models, from feature work and validation to tuning and deployment.
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