Aetna Data Analyst Interview Questions
The questions to prepare for a Aetna Data Analyst interview. Questions from real interview reports rank first. Updated weekly.
Explain practical SQL approaches for identifying, removing, and preventing duplicates and NULL-related data quality issues.
AetnaTests understanding of SQL join semantics and correct application to healthcare data models.
AetnaTests query optimization techniques for large-scale analytics workloads.
AetnaUse PostgreSQL window functions to calculate cumulative and rolling three-month claim metrics for Aetna members.
AetnaUse a date-based window function to calculate each active member's rolling 30-day paid claim total.
AetnaCalculate average Aetna claim amount for members active through each claim date for at least one year.
AetnaTests structured troubleshooting and data-driven root cause analysis for business impact.
AetnaTests KPI selection, causal thinking, and ROI measurement for program evaluation.
AetnaTests ability to define actionable KPIs aligned to operational efficiency and capacity.
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Tests ownership, self-awareness, and communication when a candidate finds a mistake in their own completed analysis.
AetnaAssesses estimation reasoning and ability to structure ambiguous quantitative problems.
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