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Hewlett Packard Enterprise Data Analyst Interview Questions

The questions to prepare for a Hewlett Packard Enterprise Data Analyst interview. Questions from real interview reports rank first. Updated daily.

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1
SQL & Data ManipulationStart here. 4 questions + 3 drills · ~62 min
Common Excel Functions for Data CleanupEasy

Explain which Excel functions you use for cleaning, transforming, and validating data before SQL analysis.

PivotData WranglingAggregationsHewlett Packard Enterprise
Handling Nulls Before AnalysisEasy

Explain how to identify, assess, and handle NULL values before analysis using basic SQL profiling and replacement logic.

Data WranglingCase WhenAggregationsHewlett Packard Enterprise
Customer Orders: LEFT vs INNER JOINEasy

Explain how INNER JOIN and LEFT JOIN differ, and when to use each for matched-only versus all-left-row analysis.

JoinsData WranglingGroup ByHewlett Packard Enterprise
Optimize Slow SQL QueriesHard

Tests SQL performance troubleshooting and query optimization techniques for complex joins and subqueries.

SubqueriesPerformance TuningJoinsHewlett Packard Enterprise
SQL for SLA and Staffing AnalysisMedium
Practice
Practice drill

Join HPE service and staffing data to calculate monthly SLA attainment by team.

Date FunctionsJoinsGroup ByHewlett Packard Enterprise
Analyze Customer Purchase Trends with Window FunctionsEasy
Practice
Practice drill

Calculate the monthly spending trends for customers using window functions and joins.

The Home DepotAvisoHewlett Packard Enterprise
Top Customers by Net SalesMedium
Practice
Practice drill

Compute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.

SubqueriesJoinsData WranglingGain DigitalTCSZest AI
2
Behavioral & Leadership19 questions · ~152 min
Leading an End-to-End Analytics ProjectMedium

Tests ownership of an end-to-end analytics project, including cross-functional collaboration, technical judgment, and measurable business impact.

LeadershipOwnershipcollaborationHewlett Packard Enterprise
Ensuring Data Accuracy at ScaleEasy

Tests ownership of data quality at scale, including validation process, risk communication, and accuracy under operational pressure.

processattention to detailQualityHewlett Packard Enterprise
Influencing a Skeptical StakeholderMedium

Tests influence without authority when a stakeholder resists a data-driven recommendation, including conflict handling and outcome ownership.

Influence Without AuthorityStakeholder ManagementCommunicationHewlett Packard Enterprise
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3
More topics1 question · ~8 min
Designing a Real-Time Power BI DashboardMedium

Tests your dashboard design thinking, data modeling, and ability to support near real-time business monitoring.

power bidashboard designHewlett Packard Enterprise

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The finish line: interview-readyComplete all 24 questions plus 3 hands-on drills to finish this plan.