Top 25
Prep plan
Updated weekly · Last refresh Oct 17

Aurora Energy Research Data Analyst Interview Questions

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

25questions
~3htotal time
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1
PipelinesStart here. 4 questions · ~32 min
Handle Incomplete Pipeline DataMedium

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

Data WranglingETLQualityAurora Energy Research
Data Cleaning in ETL PipelinesEasy

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

Data WranglingETLQualityAurora Energy Research
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2
SQL & Data Manipulation4 questions + 3 drills · ~62 min
3
Statistics & Probability5 questions · ~40 min
Predictive Modeling in EnergyHard

Tests your experience building models that forecast energy market behavior.

RegressionCorrelationTime SeriesAurora Energy Research
Machine Learning for AnalysisHard

Tests your understanding of when and how to apply ML to improve analytical outcomes.

Bayesian ReasoningRegressionCausal InferenceAurora Energy Research
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4
Product Sense3 questions · ~24 min
Regulation and Data AnalysisMedium

Tests your ability to account for compliance and policy-driven changes in data and models.

User NeedsPain PointsUse CasesAurora Energy Research
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5
Metrics3 questions · ~24 min
Dashboard for Energy Project KPIsMedium

Tests your ability to translate metrics into an effective KPI dashboard design.

North Star MetricKPIsLeading IndicatorsAurora Energy Research
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6
Behavioral & Leadership6 questions · ~48 min
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The finish line: interview-readyComplete all 25 questions plus 3 hands-on drills to finish this plan.