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Updated weekly · Last refresh Aug 30

Iris software Data Analyst Interview Questions

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

19questions
~3htotal time
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1
SQL & Data ManipulationStart here. 13 questions + 2 drills · ~132 min
SQL Query for High Sales EmployeesEasy
Practice

Use a CTE, JOIN, SUM, and HAVING to find Iris employees with completed sales above £1 million.

sqlIris software
Optimize a Slow QueryHard

Assesses performance troubleshooting and optimization strategies for large-scale SQL.

performancequery optimizationsqlIris software
Data Coverage Analysis ProcessMedium

Tests your approach to measuring completeness and coverage for new datasets.

Iris software
PI/PHI Compliance in TransformationsMedium

Assesses your compliance-aware transformation practices for sensitive data.

ComplianceIris software
Trading Anomaly HandlingMedium

Assesses your methods for diagnosing and resolving data quality issues at scale.

Iris software
SQL Query for Second HighestEasy
Practice
Practice drill

Find Iris software's second-highest distinct employee salary using DISTINCT, filtering, and descending order.

sqlIris software
Top Customers SQL QueryEasy
Practice
Practice drill

Aggregate customer sales volume and return Pyramid Consulting's top 10 customers in descending order.

RankingGroup ByAggregationsPyramid ConsultingBNYCambia Health Solutions
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2
Behavioral & Leadership4 questions · ~35 min
Creating Documentation for Mixed AudiencesEasy

Tests communication through documentation, especially translating requirements clearly across business and technical audiences.

Stakeholder ManagementCommunicationOwnershipIris software
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3
More topics2 questions · ~17 min
Choosing Visualizations for StakeholdersMedium

Evaluates your judgment in selecting visuals that communicate insights clearly to business audiences.

data visualizationstakeholder communicationIris software
Using Customer Needs for EnhancementsMedium

Evaluates how you translate customer needs into actionable improvements for data products.

market researchcustomer needsIris software

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