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SLB Interview Questions

The questions to prepare for SLB interviews, across all roles. Questions from real interview reports rank first. Updated weekly.

50questions
~7htotal time
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1
CodingStart here. 6 questions · ~51 min
Anagram Check CodingEasy
Practice
Recently asked

Determine whether two DELFI identifier strings are anagrams using character frequency counting.

Hash Tablesfrequency countStringsSLB
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2
SQL & Data Manipulation6 questions + 3 drills · ~81 min
Handling Missing and Dirty SQL DataMedium

Explain how to profile, clean, and standardize missing or dirty data before analysis.

Data WranglingCase WhenQualitySLB
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
Normalize Messy CRM Contact DataHard
Practice
Practice drill

Clean inconsistent CRM contacts by joining source tables, standardizing values, and flagging bad records.

Data WranglingCase WhenQualityAlphaSense
Validate Monthly Revenue Data QualityHard
Practice
Practice drill

Use joins, a CTE, and CASE logic to flag messy monthly order data and produce cleaned revenue by month.

Data WranglingCase WhenQualityLiterati
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3
Pipelines6 questions · ~51 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualitySLB
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4
Strategy4 questions · ~34 min
Tell Me About YourselfEasy

Tests your ability to deliver a clear, relevant introduction tailored to the role at Aqr.

Competitive AnalysisGo-to-MarketSLB
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5
Metrics3 questions · ~26 min
First Checks for Metric DropsEasy
Recently asked

Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.

Lagging IndicatorsLeading IndicatorsDiagnosisSLB
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6
Statistics & Probability3 questions · ~26 min
Statistical Significance in Hypothesis TestingEasy
Recently asked

Explain what statistical significance means and why it matters when interpreting experimental or analytical results.

Hypothesis TestingData AnalysisStatistical SignificanceSLB
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7
More topics22 questions · ~188 min
Common Pitfalls in Experiment ResultsHard
Recently asked

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio MismatchSLB
Balance Debt and Feature DeliveryMedium

Explain how you prioritize technical debt versus feature work while aligning stakeholders and protecting delivery speed.

Trade-offsScope ManagementPrioritizationSLB
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The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.