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Updated weekly · Last refresh Aug 30

Sunrun Data Analyst Interview Questions

The questions to prepare for a Sunrun 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
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualitySunrun
Automating Manual Financial ReportingMedium

Discuss automating a manual reporting workflow with code, focusing on batch ETL, orchestration, and data quality.

Data WranglingETLAutomationSunrun
Investigate Data DiscrepanciesMedium

Tests debugging skills across data sources and ability to trace inconsistencies to root causes.

Data WranglingETLQualitySunrun
2
Metrics5 questions · ~40 min
KPI Dashboard DesignMedium

Tests KPI thinking, dashboard design decisions, and clarity for stakeholders.

North Star MetricKPIsDiagnosisSunrun
Diagnose Declining AdoptionMedium

Tests structured root-cause analysis using data to diagnose adoption changes.

RetentionLeading IndicatorsDiagnosisSunrun
Purchasing Behavior TrendsMedium

Tests ability to derive actionable trends from transactional data and define the right analytical approach.

Funnel AnalysisKPIsDiagnosisSunrun
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3
Behavioral & Leadership8 questions · ~64 min
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4
More topics2 questions · ~16 min
Customer Orders: LEFT vs INNER JOINEasy

Explain how INNER JOIN and LEFT JOIN differ, and when to use each for matched-only versus all-left-row analysis.

JoinsData WranglingGroup BySunrun
Handling Missing DataEasy

Tests practical data cleaning decisions and impact on downstream analysis quality.

Data WranglingCase WhenAggregationsSunrun

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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 WranglingBenjamin MooreCommonwealth Bank of AustraliaAbercrombie and Fitch
Analyze Decision Impact by RegionMedium
Practice
Practice drill

Use joins, CASE WHEN, and date filtering to compare outcome rates before and after a decision.

Data WranglingDiagnosisAggregationsHarbourVest Partners
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
The finish line: interview-readyComplete all 18 questions plus 3 hands-on drills to finish this plan.