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Updated weekly · Last refresh Oct 17

Opera Solutions Data Analyst Interview Questions

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

34questions
~5htotal time
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1
Statistics & ProbabilityStart here. 16 questions · ~130 min
Testing a Conversion Rate DropMedium

Explain how to test whether an observed 5% conversion rate drop is statistically significant in an experiment or before-after comparison.

Hypothesis TestingData AnalysisStatistical SignificanceOpera Solutions
Markov Chain DefinitionHard

Assesses ability to explain Markov chains and apply them to practical scenarios.

Opera Solutions
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2
Behavioral & Leadership12 questions · ~97 min
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3
More topics6 questions · ~49 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityOpera Solutions
Market Entry and Monetary PolicyHard

Assesses analytical thinking for market and policy decisions with data-driven reasoning.

market analysisOpera Solutions
A/B Testing Purpose and ImplementationMedium

Tests experimental design, statistical validity, and practical execution of A/B tests.

ExperimentationHypothesis TestingA/B TestingOpera Solutions
Customer Retention Analysis at Opera SolutionsMedium

Tests metric selection and analytics planning aligned to Opera Solutions business outcomes.

RetentionChurnDiagnosisOpera Solutions
Handling Missing DataEasy

Tests practical data cleaning choices and how you preserve signal while avoiding bias.

Data WranglingQualityOpera Solutions
Retail Product Category DesignMedium

Evaluates product sense and ability to structure data for analytics and discovery.

Opera Solutions

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
SQL Window Functions RankingEasy
Practice
Practice drill

Use PostgreSQL CTEs and ROW_NUMBER to return the top three products by monthly revenue within each category.

Window FunctionsRankingGroup ByEdgeverveCareer Soft Solutions Pvt.Keystone Strategy
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
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 34 questions plus 3 hands-on drills to finish this plan.