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Updated weekly · Last refresh Oct 17

Nielsen Data Analyst Interview Questions

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

27questions
~4htotal time
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1
SQL & Data ManipulationStart here. 3 questions + 2 drills · ~45 min
SQL Joins and AggregationsMedium
Practice

Join policy and ISO ClaimSearch claim data to aggregate claim counts and incurred losses by state and policy type.

JoinsGroup ByAggregationsNielsen
Excel Data Preparation for ClientsMedium

Assesses practical data preparation skills for client-ready deliverables in Excel.

data preparationExcelNielsen
Average Session Time by UserMedium
Practice
Practice drill

Calculate average Nielsen Digital Content Ratings session duration per user using a CTE, interval arithmetic, aggregation, and a LEFT JOIN.

sql queryData AnalysisNielsenThe Nielsen
Strictly Increasing Prices QueryHard
Practice
Practice drill

Use LAG and aggregation to find Nielsen products whose observed monthly prices strictly increase.

sqlAggregationsNielsen
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2
Statistics & Probability3 questions · ~25 min
OLS Assumptions and HeteroskedasticityMedium

Evaluates understanding of linear regression concepts and key assumptions relevant to analysis.

linear regressionNielsen
ARIMA Identification and Unit RootsHard

Evaluates time-series modeling workflow and stationarity testing for ARIMA selection.

Nielsen
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3
Behavioral & Leadership17 questions · ~144 min
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4
More topics4 questions · ~34 min
Data Experience for Product DecisionsMedium

Assesses your ability to use data to inform product decisions and measure outcomes.

analyticsNielsen
Interpreting Brand Market PerformanceMedium

Evaluates analytical interpretation and ability to translate metrics into business insights.

business strategyNielsen
Diagnosing Dropping Audience EngagementMedium

Evaluates your approach to diagnosing performance declines using data-driven reasoning.

Problem SolvingNielsen
Dashboard for Product Category ComparisonMedium

Assesses data storytelling, metric selection, and dashboard design for actionable comparisons.

data visualizationdashboard designNielsen

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