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Updated weekly · Last refresh Oct 16

Sunrun Data Analyst Interview Questions

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

18questions
~3htotal time
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1
PipelinesStart here. 3 questions · ~26 min
Automating Manual Financial ReportingMedium

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

Data WranglingETLAutomationSunrun
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualitySunrun
Investigate Data DiscrepanciesMedium

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

Data WranglingETLQualitySunrun
2
Metrics5 questions · ~43 min
Purchasing Behavior TrendsMedium

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

Funnel AnalysisKPIsDiagnosisSunrun
Customer Satisfaction MetricsMedium

Tests understanding of customer experience measurement and metric selection tied to Sunrun outcomes.

NPSKPIsDiagnosisSunrun
KPI Dashboard DesignMedium

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

North Star MetricKPIsDiagnosisSunrun
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3
Behavioral & Leadership8 questions · ~69 min
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4
More topics2 questions · ~17 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
Practice

Replace missing sales fields with defined defaults and return a consistently ordered dataset.

missing valuesdata cleaningnull handlingSunrun

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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
MoM Lead Conversion SQLMedium
Practice
Practice drill

Calculate monthly California solar lead conversions and their month-over-month percentage growth.

Window FunctionsDate FunctionsJoinsSunrun
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 18 questions plus 2 hands-on drills to finish this plan.