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Planet Technologies Data Analyst Interview Questions

The questions to prepare for a Planet Technologies Data Analyst interview. Questions from real interview reports rank first. Updated weekly.

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1
Statistics & ProbabilityStart here. 4 questions · ~33 min
Checking Analysis Accuracy StatisticallyEasy

Explain how to validate analysis accuracy using sampling checks, bias review, confidence intervals, and statistical testing.

Confidence IntervalsHypothesis TestingData WranglingPlanet Technologies
Statistical Methods UsedMedium

Tests breadth of statistical techniques and when to apply them appropriately.

Confidence IntervalsRegressionHypothesis TestingPlanet Technologies
Ensuring Data AccuracyEasy

Tests data validation practices and awareness of common sources of error.

Confidence IntervalsHypothesis TestingStatistical SignificancePlanet Technologies
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2
Behavioral & Leadership12 questions · ~98 min
Responding to Tough FeedbackEasy

Tests coachability and ownership: can you take hard feedback, act on it, and improve measurable sales outcomes?

CommunicationLeadershipOwnershipPlanet Technologies
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3
More topics4 questions · ~33 min
Reporting Metrics With Visualization ToolsEasy

Explain how you use visualization tools to report KPIs clearly and connect leading and lagging indicators for decision-making.

Data WranglingEngagement MetricsPlanet Technologies
Use User Feedback to Improve ProductMedium

Tell the story of using user feedback to identify the right product change and make the improvement.

User ResearchFeature PrioritizationUser NeedsPlanet Technologies
Cleaning Messy Data ExampleEasy

Tests your ability to recount a relevant data cleaning experience and outcomes.

ToolsData WranglingQualityPlanet Technologies
Improving a Process with MetricsMedium

Tests metrics selection and ability to define measurable improvements.

KPIsLeading IndicatorsDiagnosisPlanet Technologies

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
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
Resolve Conflicting Customer AttributesMedium
Practice
Practice drill

Use joins, CTEs, and row ranking to resolve conflicting customer profile values across ACME House systems.

JoinsData WranglingQualityRamsey SolutionsACME House
Clean Inconsistent Expense EntriesHard
Practice
Practice drill

Clean inconsistent expense records with CTEs, joins, CASE logic, and aggregation to summarize valid spend by department.

Data WranglingAggregationsQualityUniversity of Colorado Denver
The finish line: interview-readyComplete all 20 questions plus 3 hands-on drills to finish this plan.