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Imagen Technologies Data Analyst Interview Questions

The questions to prepare for a Imagen Technologies Data Analyst interview. Questions from real interview reports rank first. Updated weekly.

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1
SQL & Data ManipulationStart here. 6 questions + 3 drills · ~78 min
Window Ranking in Ticket QueuesMedium

Explain SQL window functions and when to use ROW_NUMBER() versus DENSE_RANK() for ranked ticket analysis.

Window FunctionsRankingrow_numberImagen Technologies
Optimizing Slow Queries at ScaleHard

Explain how to diagnose and optimize a slow PostgreSQL query on large Apidel Technologies datasets.

SubqueriesJoinsData WranglingImagen Technologies
Structure Retention Cohort AnalysisMedium

Explain how to structure a cohort retention query using cohort assignment, period offsets, and aggregation in PostgreSQL.

Date FunctionsCTEsGroup ByImagen Technologies
Top Performing Segments QueryMedium

Tests SQL skills for ranking and extracting top segments from performance data.

Data AnalysisperformanceAggregationsImagen Technologies
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
Unify CRM and Google Analytics ViewHard
Practice
Practice drill

Merge CRM orders with GA events via an identity map to build a customer-level view using joins, window functions, and monthly rollups.

SubqueriesJoinsData WranglingArtefact
Top Daily Rides by VehicleMedium
Practice
Practice drill

Rank the top 3 completed rides per vehicle per day using joins, a CTE, and ROW_NUMBER.

Window FunctionsJoinsData WranglingWaymo
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2
Behavioral & Leadership3 questions · ~24 min
Explaining Complex Analysis to Nontechnical StakeholdersMedium

Tests communication of complex analytics to nontechnical stakeholders, with emphasis on influence, clarity, and driving action from insights.

Stakeholder ManagementCommunicationtechnicalImagen Technologies
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3
More topics3 questions · ~24 min
Define Prelaunch Feature SuccessEasy

Define how to measure whether a new customer-facing feature will succeed before launch.

Success CriteriaUser NeedsValue PropositionImagen Technologies
Measure Core Feature EngagementMedium

Define the metrics that show whether engagement in a core feature is improving.

RetentionDiagnosisEngagement MetricsImagen Technologies
Root-Cause Analysis for KPI DropsHard

Tests structured troubleshooting and data-driven reasoning to identify why a key metric changed.

MetricsImagen Technologies

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