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Updated weekly · Last refresh Aug 30

Texas Oncology Data Analyst Interview Questions

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

16questions
~2htotal time
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1
PipelinesStart here. 3 questions · ~24 min
Structured vs Unstructured DataEasy

Explain how structured and unstructured data differ, and why that matters for pipeline design and downstream processing.

ETLData ModelingQualityTexas Oncology
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityTexas Oncology
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2
Behavioral & Leadership7 questions · ~56 min
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3
More topics6 questions · ~48 min
Oncology KPI Dashboard BuildMedium

Tests your end-to-end dashboard design skills, including metrics definition, data modeling, and validation.

North Star MetricKPIsLeading IndicatorsTexas Oncology
Forecasting Oncology Patient DemandHard

Tests your ability to build demand forecasts using relevant clinical, operational, and market drivers.

RegressionCausal InferenceTime SeriesTexas Oncology
Evaluate New Billing ProcessHard

Tests your experimental thinking and ability to measure process impact with appropriate statistical rigor.

ExperimentationGuardrail MetricsCUPEDTexas Oncology
SQL and Data Tooling ProficiencyEasy

Tests practical SQL and analytics tooling experience and project impact.

ToolsJoinsData WranglingTexas Oncology
Unpaid Claims Trend AnalysisMedium

Tests your approach to diagnosing billing issues and turning data into actionable insights.

Funnel AnalysisKPIsDiagnosisTexas Oncology
Most Useful Statistical MethodsEasy

Tests your practical statistical toolkit and why you choose specific methods.

RegressionCorrelationHypothesis TestingTexas Oncology

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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
Handle Missing Financial Input ValuesMedium
Practice
Practice drill

Use joins, CTEs, and CASE logic to flag and fill missing financial fields for Qlik planning records.

Data WranglingETLQualityQlik
Contact Center Agent Performance MetricsHard
Practice
Practice drill

Compute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.

ETLAggregationsData ModelingADP
The finish line: interview-readyComplete all 16 questions plus 3 hands-on drills to finish this plan.