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Updated weekly · Last refresh Aug 30

Fisglobal Data Analyst Interview Questions

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

26questions
~3htotal time
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1
MetricsStart here. 3 questions · ~24 min
Transaction Pattern Fraud AnalysisMedium

Tests practical analytical methods for detecting fraud signals in transaction streams.

fraud detectionanomaly detectionFisglobal
Fraud Detection Efficiency MetricMedium

Tests metric design for fraud detection performance and operational efficiency.

fraud detectionefficiencykpi hierarchyFisglobal
Net Impact on Successful TransactionsMedium

Tests ability to translate fraud and volume changes into business metrics.

fraud detectionkpi hierarchyquantitative problem solvingFisglobal
2
SQL & Data Manipulation3 questions + 3 drills · ~54 min
Handle Incomplete TransactionsMedium

Tests data modeling and transformation decisions under missing transaction fields.

null handlingData Wranglingdata integrityFisglobal
Handling Large DatasetsMedium

Evaluates your approach to scaling analysis and producing actionable insights from big data.

Data AnalysisinsightsFisglobal
Transact Application UnderstandingMedium

Assesses your grasp of FIS domain concepts and how you would apply them in data analysis.

Fisglobal
String Character OccurrencesEasy
Practice
Practice drill

Count each case-sensitive character in an FIS PayDirect message using PostgreSQL string functions, a CTE, a join, and aggregation.

string manipulationFisglobalFISFis global
Flag Suspicious Driver Signup ClustersHard
Practice
Practice drill

Use CTEs, joins, aggregations, and CASE logic to flag Lyft driver accounts with suspicious early activity patterns.

fraud detectionData AnalysisRisk ManagementLyft
Detect Shared Payment MethodsMedium
Practice
Practice drill

Use joins, a CTE, and HAVING to find payment methods linked to multiple Lyft user accounts.

fraud detectionsql querydata integrityLyft
3
Behavioral & Leadership18 questions · ~144 min
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4
More topics2 questions · ~16 min
Detect Anomalies in Financial DataMedium

Tests outlier detection approach for high-volume financial transaction data.

outliersfinancial dataanomaly detectionFisglobal
Maintain Data Quality in PipelinesMedium

Tests data quality controls and pipeline practices for reliable analytics.

Data Qualityfinancial dataData WranglingFisglobal

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The finish line: interview-readyComplete all 26 questions plus 3 hands-on drills to finish this plan.