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 weekly.
Explain how to detect and handle NULL values in SQL using filtering, COALESCE, CASE, and business-aware imputation.
University of California BerkeleyExplain how to assess, quantify, and handle missing demographic fields in SQL without distorting downstream analysis.
University of California BerkeleyTests practical data preparation skills and attention to quality and consistency.
University of California BerkeleyAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
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Benjamin MooreUse GROUP BY and conditional aggregation to count data quality issues in a single NVIDIA dashboard source table.
NVIDIADeduplicate transactions and impute null costs before reporting customer spend.
ApptioTests 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 BerkeleyExplain how visualization tools help analysts track KPIs, spot patterns, and support decisions.
University of California BerkeleyTests stakeholder management, requirements gathering, and translating business questions into analysis.
University of California BerkeleyExplain how you use visualization tools to report KPIs clearly and connect leading and lagging indicators for decision-making.
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