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Samsung Semiconductor Data Analyst Interview Questions

The questions to prepare for a Samsung Semiconductor Data Analyst interview. Questions from real interview reports rank first. Updated daily.

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1
SQL & Data ManipulationStart here. 7 questions + 1 drill · ~72 min
Analyze Data in ExcelMedium

Tests your ability to perform analysis, transform data, and communicate results using Excel.

Data AnalysisExcelSamsung Semiconductor
Join Choice With Missing LogsEasy

Tests SQL join semantics and reasoning about missing sensor data in semiconductor test datasets.

null handlingJoinsdata integritySamsung Semiconductor
Excel ProficiencyMedium

Evaluates practical Excel skills for data analysis and reporting.

ExcelSamsung Semiconductor
Second Highest Trader SalaryEasy
Practice
Practice drill

Find the second highest distinct salary from a single table using basic PostgreSQL ordering and limiting.

SubqueriesRankingSortingeClinicalWorksNNeenOpal CanadaInformatica
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2
Behavioral & Leadership15 questions · ~134 min
Hard Calls With Incomplete DataHard

Tests decision-making under ambiguity, ownership, and stakeholder management when the right call isn’t fully knowable.

LeadershipOwnershipDealing With AmbiguitySamsung Semiconductor
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3
More topics4 questions · ~36 min
Career AspirationsEasy

Tests goal clarity and long-term fit for the Marketing Analytics Specialist role.

User NeedsValue PropositionProduct VisionSamsung Semiconductor
Impute Sensor Values With Rolling AverageMedium

Tests practical data cleaning and time-ordered imputation for manufacturing sensor data in Python.

Data QualitytransformationsBatch ProcessingSamsung Semiconductor
Correlate Temperature and DefectsMedium

Tests statistical correlation skills and ability to analyze manufacturing quality drivers from fab data.

SamplingBiasCorrelationSamsung Semiconductor
Parse and Clean Hardware LogsMedium

Tests log parsing, data cleaning, and preparation of unstructured manufacturing telemetry for analysis.

Data QualityToolsData WranglingSamsung Semiconductor

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