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Updated weekly · Last refresh Oct 17

S&P Global Energy Marketing Analytics Specialist Interview Questions

The questions to prepare for a S&P Global Energy Marketing Analytics Specialist interview. Questions from real interview reports rank first. Updated daily.

16questions
~2htotal time
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1
MetricsStart here. 3 questions · ~24 min
Measure Marketing Campaign SuccessEasy

Define campaign success using business KPIs, funnel conversion, acquisition cost, and leading indicators tied to outcomes.

Funnel AnalysisKPIsLeading IndicatorsS&P Global Energy
Diagnosing Low ConversionHard

Evaluates your troubleshooting process for funnel drop-offs using data and hypotheses.

root cause analysisS&P Global Energy
Channel Quality Lead MeasurementMedium

Tests your approach to attributing and evaluating marketing channels by lead quality.

S&P Global Energy
2
SQL & Data Manipulation4 questions + 3 drills · ~62 min
Cleaning Data for AnalysisMedium

Assesses your data preparation skills and practical tooling for reliable analysis.

data cleaningS&P Global Energy
Handling CRM Data IssuesMedium

Assesses your data quality strategies to keep marketing analytics trustworthy.

data handlingdata integrityS&P Global Energy
KPI Dashboard for LeadershipMedium

Tests your dashboard design process for communicating marketing performance to executives.

data visualizationS&P Global Energy
Cohort Analysis WalkthroughMedium

Evaluates your ability to structure and interpret cohort analysis for customer and lead behavior.

Data AnalysismethodologyCohort AnalysisS&P Global Energy
Second Highest Trader SalaryEasy
Practice
Practice drill

Find the second highest distinct salary from a single table using basic PostgreSQL ordering and limiting.

SubqueriesRankingSortingeClinicalWorksNNeenOpal CanadaInformatica
Optimize a Slow SQL QueryHard
Practice
Practice drill

Rewrite a slow PostgreSQL loan payment query to reduce scanned rows while preserving the required aggregated results.

database optimizationJoinsData WranglingAmeripriseEEltro Cyberchrome PrivateEnergyHub
Database Tables and MedianMedium
Practice
Practice drill

Calculate each department's median historical salary using joins and PostgreSQL percentile aggregation.

aggregationJoinsCTEsS&P Global Energy

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3
Behavioral & Leadership9 questions · ~72 min
Explaining Analysis to Non-Technical StakeholdersEasy

Tests communication of complex data to non-technical stakeholders, including clarity, stakeholder management, and actionable storytelling.

Influence Without AuthorityStakeholder ManagementCommunicationS&P Global Energy
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The finish line: interview-readyComplete all 16 questions plus 3 hands-on drills to finish this plan.