The Data Analytics & Insights Test is designed to measure a candidate’s ability to transform complex datasets into meaningful business insight, combining numerical reasoning, logical problem-solving, and commercial interpretation.
Through multiple scenario-based questions mirroring real-world business challenges, the assessment evaluates how effectively candidates interpret trends, diagnose performance issues, and communicate actionable recommendations. It goes beyond technical skill, focusing on how analysts think, how they interpret data, and how they influence business decisions. This test validates whether candidates can connect analytical outputs to commercial outcomes, a core competency for any data-driven organisation.
The test is suitable for professionals who work with data to shape decisions, build business cases, or improve operational and financial performance. It is ideal for organisations seeking to strengthen their data literacy and ensure analytical hires can provide genuine value through insight.
Designed to assess
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Business Acumen & Insight Application
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Data Quality & Governance Awareness
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Analytical Reasoning & Problem Solving
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Data Interpretation & Trend Analysis
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Tools & Applied Analytics
Use this test to hire for
- Performance Analyst
- BI Analyst
- Data Analyst
- Data Insight Specialist
- Reporting Analyst
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Duration 10 minutes
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Languages English
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Level Beginner / Level 1
Question
In a master data table, 10% of customer IDs are null. What’s the impact?
Select ONE answer
Question
A marketing director claims campaign X caused a 30% sales lift. Correlation is 0.45. What’s your response?
Select ONE answer
Question
A retail chain’s Q4 sales increased 15% year-on-year, yet net profit stayed constant. What’s the most likely cause?
Select ONE answer
Use skills-based tests to make data-driven hiring decisions
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Unbiased, skills-based assessments to ensure objective and equitable hiring decisions
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Comprehensive analytics and insights for making informed, data-backed candidate selections
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Scales to accommodate your hiring needs, from small teams to large-scale recruitment drives