Dataford
Dataford
Top 9
Prep plan
Updated weekly · Last refresh Oct 17
I

Imperial College London Data Analyst Interview Questions

The questions to prepare for a Imperial College London Data Analyst interview. Questions from real interview reports rank first. Updated daily.

9questions
~1htotal time
Track your progressSign up free to work through all 9 questions and resume where you left off.
Start practicing free →
1
Behavioral & LeadershipStart here. 6 questions · ~48 min
Working in a GroupEasy

Tests collaboration, communication, accountability, and contribution within a team setting.

Communicationbehavioral interviewteamworkIImperial College London
Visualizing Findings for Decision-MakersEasy

Tests communication through visualization, stakeholder alignment, and whether the candidate can turn analysis into a clear decision.

Stakeholder ManagementCommunicationOwnershipIImperial College London
Critical Report Under Tight DeadlineMedium

Tests prioritization under pressure, ownership, and stakeholder communication when delivering a high-stakes report on a compressed timeline.

pressure handlingdeadline managementreportingIImperial College London
Handling Critical Feedback on AnalysisEasy

Tests how you receive and act on feedback about your analysis, including communication, stakeholder management, and self-awareness.

CommunicationOwnershipDealing With AmbiguityIImperial College London
Explaining a Technical Concept ClearlyEasy
Recently asked

Tests communication, ownership, and stakeholder management when translating technical complexity into actionable business understanding.

Problem SolvingData Structurestechnical fundamentalsIImperial College London
More Behavioral & Leadership questions with a free account
2
More topics3 questions · ~24 min
Validating Data Before ReportingEasy

Explain how to validate SQL data before reporting, including null checks, duplicates, outliers, and aggregation reconciliation.

JoinsData WranglingQualityIImperial College London
Handling Fairness in DataHard

Evaluates your understanding of fairness concepts and how you apply them to data analysis decisions.

data handlingIImperial College London
Handling Missing and Dirty SQL DataMedium

Explain how to profile, clean, and standardize missing or dirty data before analysis.

Data WranglingCase WhenQualityIImperial College London

Sign up to see every question

Create a free account to unlock this list and practice real interview questions.

Get my prep plan
Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Handling 30% Missing Critical DataMedium
Practice
Practice drill

Audit critical-field completeness by application source and report missing-entry percentages.

missing valuesdata accuracyData WranglingAmerican Credit Acceptance
Resolve Conflicting Customer AttributesMedium
Practice
Practice drill

Use joins, CTEs, and row ranking to resolve conflicting customer profile values across ACME House systems.

JoinsData WranglingQualityRamsey SolutionsACME House
Reconcile Conflicting Invoice TotalsMedium
Practice
Practice drill

Reconcile billing and ERP invoice totals using joins, a CTE for latest snapshots, and CASE-based discrepancy classification.

JoinsData WranglingQualityLiterati
The finish line: interview-readyComplete all 9 questions plus 3 hands-on drills to finish this plan.