Top 50 data points Interview Questions
The most frequently asked data points questions across all roles and companies, ranked by real interview frequency. Updated daily.
Explain how to detect meaningful trends and patterns in a dataset using time comparisons, segmentation, and validation.
Bee Engineering
University of Arizona
DatabricksIdentify the root cause of an operational anomaly by validating metric quality, decomposing drivers, and testing competing hypotheses at scale.
JPMorganChaseIdentify the data points needed to diagnose a 2% increase in American Credit Acceptance's monthly default rate.
American Credit AcceptanceExplain how to normalize inconsistent source date formats in Power Query and validate the resulting date-quality metric.
DeloitteInterpret a graph from Meta's tech screen and explain the key metric trends and drivers.
MetaPrioritize the revenue, cost, margin, and lifecycle metrics needed to assess compute system profitability.
NVIDIAExplain how to identify, treat, and communicate erroneous or missing data without distorting KPI results.
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Tests product design trade-offs between user experience and credit data collection.
TalaAnalyze weekly service delivery performance by team using joins, a CTE, date aggregation, and KPI calculations.
Deloitte
ReputationUse joins, CTEs, and aggregations to find the weakest step in an onboarding funnel and estimate lost conversions.
Atlassian
RevolutCalculate Xiaomi 15 conversion rates by region using joins, distinct counts, date filtering, and conditional aggregation.
Indiana University
NXP Semiconductors