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Updated weekly · Last refresh Aug 30

Verisk Analytics QA Engineer Interview Questions

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

45questions
~6htotal time
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1
SQL & Data ManipulationStart here. 9 questions + 2 drills · ~95 min
Second Highest Without AggregatesHard
Practice

Find the second highest salary in each department without using aggregate functions.

SubqueriesRankingSelf-JoinsVerisk Analytics
Validate Exact Results After MigrationMedium

Tests data reconciliation skills and your approach to preventing subtle migration mismatches.

Data WranglingReconciliationdata integrityVerisk Analytics
Database Normalization for IntegrityEasy

Tests understanding of normalization and how it supports reliable, consistent test data.

databasenormalizationdata integrityVerisk Analytics
SQL Joins and AggregationsMedium
Practice
Practice drill

Join policy and ISO ClaimSearch claim data to aggregate claim counts and incurred losses by state and policy type.

JoinsGroup ByAggregationsDemandbaseAlign TechnologyVerisk Analytics
SQL Duplicate Record DetectionEasy
Practice
Practice drill

Find duplicate American Institutes for Research assessment submissions using a CTE, GROUP BY, HAVING, and joins.

deduplicationsqldata integrityAmerican Institutes for ResearchMacy's
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2
Coding3 questions · ~25 min
Parameterize Tests from Excel or JSONMedium

Tests your ability to build data-driven test automation using external test inputs.

json parsingData WranglingExcelVerisk Analytics
Basic Python ProgrammingEasy

Tests fundamentals of Python needed for QA automation tasks.

ProgrammingpythonVerisk Analytics
OOP Market DesignHard

Tests OOP design skills by modeling a domain with multiple product types.

designoopVerisk Analytics
3
Behavioral & Leadership32 questions · ~266 min
When a Developer Disputes a BugMedium

Tests conflict resolution and influence in bug triage when a QA engineer must defend a defect with evidence and preserve collaboration.

Conflict Resolutionbug triageOwnershipVerisk Analytics
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4
More topics1 question · ~8 min
Prioritizing Functional vs Non-FunctionalMedium

Tests your ability to balance feature correctness with quality attributes using risk.

PrioritizationVerisk Analytics

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