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Updated weekly · Last refresh Aug 30

Lorien Data Analyst Interview Questions

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

19questions
~3htotal time
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1
PipelinesStart here. 5 questions · ~40 min
Handling Missing Data in PipelinesMedium

Approach for handling missing data in an ML data pipeline, including validation, imputation, and safe downstream consumption.

InfrastructureETLBatch ProcessingLorien
Data Cleaning in ETL PipelinesEasy

Approach for cleaning and preparing raw data inside an ETL pipeline.

Data WranglingETLQualityLorien
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityLorien
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2
Behavioral & Leadership9 questions · ~72 min
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3
More topics5 questions · ~40 min
Investigate User Engagement DeclineMedium

Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.

RetentionDiagnosisEngagement MetricsLorien
SQL Query for Record ExtractionEasy

Tests your ability to write correct SQL for data retrieval and filtering.

JoinsData WranglingCTEsLorien
Setting Up an A/B TestMedium

Tests your experimental design skills, including metrics, randomization, and statistical validity.

ExperimentationGuardrail MetricsA/B TestingLorien
Process Improvement ProposalMedium

Tests your product sense and ability to translate data into measurable operational improvements.

Feature PrioritizationValue PropositionUse CasesLorien
Core Statistical MethodsEasy

Tests your practical knowledge of statistics for interpreting data and drawing conclusions.

RegressionHypothesis TestingStatistical SignificanceLorien

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
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
Handle Missing Financial Input ValuesMedium
Practice
Practice drill

Use joins, CTEs, and CASE logic to flag and fill missing financial fields for Qlik planning records.

Data WranglingETLQualityQlik
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 19 questions plus 3 hands-on drills to finish this plan.