Dataford
Top 7
Prep plan
Updated weekly · Last refresh Nov 11

Probe CX Data Analyst Interview Questions

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

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1
Behavioral & LeadershipStart here. 5 questions · ~40 min
Data-Driven Business RecommendationHard

Tests analytical judgment, stakeholder influence, ownership, and the ability to turn data into measurable business decisions.

analytical skillsStakeholder ManagementCommunicationProbe CX
Pivoting With New DataMedium

Tests adaptability, analytical judgment, stakeholder alignment, and ownership when new information changes a project plan.

adaptabilitydata-driven decisionsbehavioralProbe CX
Prioritizing Competing Report RequestsMedium

Tests prioritization under pressure, stakeholder management, and ownership when multiple reporting requests compete for limited analytics capacity.

Stakeholder Managementtime managementPrioritizationProbe CX
Prioritizing Conflicting Cross-Functional DeadlinesMedium

Tests prioritization under pressure, stakeholder management, and decision-making when multiple teams compete for limited analyst capacity.

Conflict Resolutiontime managementPrioritizationProbe CX
Explaining Analysis to Non-Technical StakeholdersEasy

Tests communication of complex data to non-technical stakeholders, including clarity, stakeholder management, and actionable storytelling.

Influence Without AuthorityStakeholder ManagementCommunicationProbe CX
2
More topics2 questions · ~16 min
SQL vs Excel for Large DatasetsEasy

Explain how SQL handles large dataset analysis more efficiently than Excel, including filtering, aggregation, and repeatable workflows.

PivotData WranglingAggregationsProbe CX
Ensuring Integrity Across Data SourcesMedium

Explain practical SQL techniques to preserve data integrity when combining multiple data sources.

JoinsData WranglingCase WhenProbe CX

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Pivoting Data for ReportingMedium
Practice
Practice drill

Pivot product sales into monthly reporting columns with quarterly totals.

PivotJoinsData WranglingWorld Wide TechnologyNestlé USA
SQL to Flag Partner Count MismatchesMedium
Practice
Practice drill

Compare partner-reported and internal daily counts, then flag discrepancies and show the prior comparison status.

JoinsData WranglingCase WhenGoogle
SQL Segmentation by OutcomeMedium
Practice
Practice drill

Segment Instacart orders by region, retailer, and derived delivery outcome with aggregate operational metrics.

JoinsData WranglingGroup ByInstacart
The finish line: interview-readyComplete all 7 questions plus 3 hands-on drills to finish this plan.