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Updated weekly · Last refresh Sep 22

Fis global Data Analyst Interview Questions

The questions to prepare for a Fis global Data Analyst interview. Questions from real interview reports rank first. Updated daily.

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1
SQL & Data ManipulationStart here. 7 questions + 3 drills · ~86 min
Common Excel Functions for Data CleanupEasy

Explain which Excel functions you use for cleaning, transforming, and validating data before SQL analysis.

PivotData WranglingAggregationsFis global
Handling Missing and Dirty SQL DataMedium

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

Data WranglingCase WhenQualityFis global
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
SQL: Deduplicate Latest RecordsMedium
Practice
Practice drill

Deduplicate customer records with ROW_NUMBER, retaining the latest record and reporting duplicate counts.

Window Functionsdata cleaningRankingIBMNewWave Telecom & Technologies
Remove Duplicates Keeping LatestMedium
Practice
Practice drill

Delete duplicate contact records while retaining the most recently updated row for each email address.

Window Functionsdata cleaningRankingBNSF RailwayRevature
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2
Metrics5 questions · ~40 min
Investigating Transaction Volume DropsMedium

Tests diagnostic approach to investigating transaction volume anomalies in financial data.

transaction volumeDiagnosisFis global
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3
Product Sense3 questions · ~24 min
Dashboard for Anomalies and ComplianceMedium

Tests product thinking for turning transaction and compliance signals into actionable dashboards.

monitoringUser Needsdashboard designFis global
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4
Behavioral & Leadership28 questions · ~224 min
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5
More topics5 questions · ~40 min
Fraud Rule Test Without Good-User HarmHard

Design an experiment to measure whether a new fraud rule reduces losses without blocking legitimate users.

ExperimentationGuardrail MetricsA/B TestingFis global
Imputing Missing ValuesMedium

Tests statistical reasoning for handling missing data in analytics.

missing valuesData QualityFis global
Cleaning and Validating Transaction DataMedium

Tests end-to-end data preparation skills for reliable analytics on transaction data.

Data Qualitydata cleaningvalidationFis global
Sample Size for Checkout TestMedium

Design a checkout A/B test and compute the sample size needed to detect a 2% relative lift in purchase conversion within 14 days.

MDEPower AnalysisSample SizeFis global
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