University of California Berkeley Data Analyst Interview Questions
The questions to prepare for a University of California Berkeley Data Analyst interview. Questions from real interview reports rank first. Updated daily.
Tests understanding of encoding strategies and preprocessing steps for linear regression.
University of California BerkeleyTests practical data preparation skills and attention to quality and consistency.
University of California BerkeleyFilter invalid game events and normalize event names using PostgreSQL string and null handling.
Quantium
Scopely
CarvanaCreate an auditable application dataset by applying explicit PostgreSQL rules for missing candidate, status, salary, and date values.
Aircall
athenahealth
HaysTests your ability to apply statistical reasoning to real-world problems and communicate results.
University of California BerkeleyTests your knowledge of statistical techniques for drawing valid conclusions from data.
University of California BerkeleyTests your understanding of regression fundamentals, estimation, and implementation details.
University of California BerkeleyExplain how you use visualization tools to report KPIs clearly and connect leading and lagging indicators for decision-making.
University of California BerkeleyTests stakeholder management, requirements gathering, and translating business questions into analysis.
University of California BerkeleyExplain how visualization tools help analysts track KPIs, spot patterns, and support decisions.
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