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Quest Analytics Data Engineer Interview Questions

The questions to prepare for a Quest Analytics Data Engineer interview. Questions from real interview reports rank first. Updated weekly.

30questions
~4htotal time
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1
PipelinesStart here. 13 questions · ~105 min
Data Integration Tools ExperienceEasy

Discuss the data integration tools you have used and how they fit into ETL, orchestration, and data quality workflows.

InfrastructureToolsETLQuest Analytics
Diagnose Financial Reporting Data QualityMedium

Identify the main causes of data quality issues in financial reporting and how to prevent them in a pipeline.

ETLData ModelingQualityQuest Analytics
Real-Time Dashboard Data PipelineMedium

Design a streaming pipeline that keeps dashboard data fresh and accurate for operational reporting.

InfrastructureStream ProcessingOrchestrationQuest Analytics
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2
Coding3 questions · ~24 min
Implementing Python Data TransformationsMedium

Tests ability to write maintainable Python transformations for structured data processing.

Hash TablesArraysStringsQuest Analytics
Time Complexity ExplanationEasy

Tests understanding of algorithmic complexity and performance implications.

Hash TablesSearchingSortingQuest Analytics
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3
SQL & Data Manipulation6 questions + 3 drills · ~78 min
Structured vs Unstructured Data BasicsEasy

Explain how structured and unstructured data differ in format, storage, and how easily they can be queried with SQL.

Data WranglingETLQuest Analytics
Optimize Slow SQL QueryMedium

Tests performance troubleshooting skills using query plans, indexing, and query rewrites.

Joinsquery optimizationAggregationsQuest Analytics
SQL Insights ExtractionMedium

Tests SQL proficiency for analytical querying and extracting actionable insights.

JoinsGroup ByAggregationsQuest Analytics
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
Contact Center Agent Performance MetricsHard
Practice
Practice drill

Compute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.

ETLAggregationsData ModelingADP
Handle Missing Financial Input ValuesMedium
Practice
Practice drill

Use joins, CTEs, and CASE logic to flag and fill missing financial fields for Qlik planning records.

Data WranglingETLQualityQlik
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4
Behavioral & Leadership8 questions · ~65 min
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The finish line: interview-readyComplete all 30 questions plus 3 hands-on drills to finish this plan.