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Prep plan
Updated weekly · Last refresh Oct 17

Wood Mackenzie Data Analyst Interview Questions

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

40questions
~5htotal time
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1
PipelinesStart here. 5 questions · ~40 min
Clean Data for Visual AnalyticsEasy

Describe how you clean and preprocess data so dashboards stay accurate and usable.

Data WranglingETLQualityWood Mackenzie
Handling Missing Data in PipelinesMedium

Approach for handling missing data in an ML data pipeline, including validation, imputation, and safe downstream consumption.

InfrastructureETLBatch ProcessingWood Mackenzie
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2
Statistics & Probability4 questions · ~32 min
GIS to Solve a Client ProblemMedium

Assesses applied GIS problem solving and client-focused outcomes.

Problem SolvingWood Mackenzie
IDW vs Kriging InterpolationHard

Tests your understanding of spatial interpolation methods and their tradeoffs.

Wood Mackenzie
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3
Product Sense5 questions · ~40 min
Geospatial Data VisualizationMedium

Examines approach to geospatial analytics and tooling relevant to energy and commodity markets.

Toolsdata visualizationWood Mackenzie
Ambiguity to Analytical FrameworkMedium

Tests ability to scope and structure analyses from vague client needs.

business requirementsWood Mackenzie
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4
Behavioral & Leadership23 questions · ~184 min
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5
More topics3 questions · ~24 min
Data Validation MethodologiesMedium

Assesses data quality validation and governance for client-facing insights in a consulting setting.

Accuracystakeholder communicationdata validationWood Mackenzie
SQL for Meaningful InsightsMedium

Tests SQL proficiency and ability to turn queries into actionable insights.

SQL & Data ManipulationJoinsAggregationsWood Mackenzie
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
The finish line: interview-readyComplete all 40 questions plus 3 hands-on drills to finish this plan.