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Updated weekly · Last refresh Sep 22

Serco Data Analyst Interview Questions

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

23questions
~3htotal time
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1
PipelinesStart here. 4 questions · ~32 min
Validate Misleading VisualizationsMedium

How to validate that dashboard visuals reflect the underlying data correctly and do not distort the story.

Data WranglingETLQualitySerco
Clean Data for Visual AnalyticsEasy

Describe how you clean and preprocess data so dashboards stay accurate and usable.

Data WranglingETLQualitySerco
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualitySerco
Data Modeling for VisualizationMedium

Tests ability to design schemas that support performant, reliable visualization at scale.

schema designData ModelingSerco
2
Behavioral & Leadership16 questions · ~128 min
Choosing Visualization for Executive DecisionsEasy

Tests communication and stakeholder judgment in selecting visualization approaches that drive marketing decisions.

Stakeholder ManagementCommunicationOwnershipSerco
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3
More topics3 questions · ~24 min
Attrition Dashboard MetricsMedium

Tests ability to translate HR attrition data into decision-ready dashboard metrics for Serco HR leaders.

RetentionKPIdashboardingSerco
SQL for Monthly Cycle TimesMedium

Tests SQL query design for time-based operational metrics extraction from relational data.

JoinssqlAggregationsSerco
Shipboard Maintenance Readiness FrameworkHard

Tests ability to define and operationalize readiness and maintenance metrics for reporting use cases.

Serco

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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
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
Cleaning a Messy DatasetMedium
Practice
Practice drill

Filter invalid game events and normalize event names using PostgreSQL string and null handling.

missing valuesdata cleaningnull handlingQuantiumScopelyCarvana
The finish line: interview-readyComplete all 23 questions plus 3 hands-on drills to finish this plan.