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Updated weekly · Last refresh Aug 30

iCapital Data Analyst Interview Questions

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

18questions
~2htotal time
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1
PipelinesStart here. 3 questions · ~24 min
Handle Incomplete Pipeline DataMedium

Approach for handling missing, inconsistent, and duplicate data in a pipeline without breaking downstream analytics.

Data WranglingETLQualityiCapital
Prepare Training Data PipelineMedium

Outline a repeatable pipeline for cleaning, validating, and preparing a dataset for model training.

ETLData ModelingQualityiCapital
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityiCapital
2
Behavioral & Leadership10 questions · ~80 min
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3
More topics5 questions · ~40 min
Critical Metrics for Product LaunchMedium

Choose the most important launch metrics, balancing early signals, long-term outcomes, and a clear KPI hierarchy.

KPIsConversion RateLeading IndicatorsiCapital
Analysis Plan for Investment ReturnsMedium

Tests ability to structure analytics work and choose appropriate approaches for time-based return data.

RegressionCausal InferenceTime SeriesiCapital
Useful SQL Retrieval FunctionsEasy

Tests practical SQL knowledge for querying and extracting insights from data.

JoinsData WranglingAggregationsiCapital
Find Patterns to Improve EngagementMedium

Tests ability to derive actionable insights from customer data and translate them into engagement improvements.

Leading IndicatorsDiagnosisEngagement MetricsiCapital
Statistical Tests for VarianceMedium

Tests knowledge of statistical testing and selecting methods to compare variability.

Hypothesis TestingStatistical SignificanceVarianceiCapital

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Top Customers by Region VolumeMedium
Practice
Practice drill

Find the top 3 customers in each region by transaction volume using joins, aggregation, and window ranking.

Window FunctionsJoinsRankingJPMorganChaseSilicon Valley BankNavi
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
Contact Center Agent Performance MetricsHard
Practice
Practice drill

Compute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.

ETLAggregationsData ModelingADP
The finish line: interview-readyComplete all 18 questions plus 3 hands-on drills to finish this plan.