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Updated weekly · Last refresh Oct 17

Weber Shandwick Data Analyst Interview Questions

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

21questions
~3htotal time
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1
MetricsStart here. 4 questions · ~32 min
Investigating Website Traffic SpikesMedium

Tests diagnostic thinking and troubleshooting for anomalous web analytics data.

Diagnosisanomaly detectionWeber Shandwick
Structure Brand Sentiment AnalysisMedium

Tests your approach to sentiment analysis design, segmentation, and actionable insights.

Sentiment AnalysisDiagnosisWeber Shandwick
Social Campaign Engagement MetricsEasy

Tests your understanding of engagement metrics and how to operationalize them for reporting.

campaign performancesocial mediaEngagement MetricsWeber Shandwick
Measuring PR Campaign SuccessMedium

Tests KPI selection and measurement design for integrated PR campaigns.

campaign performancekpi hierarchyWeber Shandwick
2
Behavioral & Leadership14 questions · ~112 min
Practicing Teamwork Under Delivery PressureEasy

Tests how you define and demonstrate teamwork through communication, ownership, and stakeholder coordination under real delivery pressure.

Stakeholder ManagementCommunicationLeadershipWeber Shandwick
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3
More topics3 questions · ~24 min
Advanced Excel for Data CleaningMedium

Tests practical Excel skills for cleaning and structuring messy client data for campaign analytics.

JoinsData WranglingExcelWeber Shandwick
Earned, Owned, Paid Media AnalysisMedium

Tests your ability to map media types to appropriate metrics and analytical approaches.

competitive landscapeUse CasesWeber Shandwick
Merging Media Reports AccuratelyMedium

Tests data validation and reconciliation when combining cross-platform performance datasets.

Data WranglingReconciliationdata integrityWeber Shandwick

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Excel Reconciliation With DataMedium
Practice
Practice drill

Reconcile weekly Adobe transaction totals against control totals and identify missing or mismatched records.

large datasetsData WranglingReconciliationAdobe
Clean and Reconcile Bank ExportsHard
Practice
Practice drill

Clean mismatched transaction fields and reconcile Rippling records against bank settlements.

data cleaningfinancial dataData WranglingRippling
Reconcile Datasets with LookupMedium
Practice
Practice drill

Identify amount discrepancies between two datasets, including missing values, using a shared record key.

null handlingJoinsData WranglingHilton Grand Vacations
The finish line: interview-readyComplete all 21 questions plus 3 hands-on drills to finish this plan.