Rokt Data Analyst Interview Questions
The questions to prepare for a Rokt Data Analyst interview. Questions from real interview reports rank first. Updated daily.
Determine if a 2.5% conversion increase from a marketing campaign is statistically significant using a two-proportion z-test.
RoktReason about power analysis when planning an experiment and choosing sample size.
RoktExplain how you have designed and implemented A/B tests, including hypothesis setup, analysis, and decision making.
RoktDefine the metrics that show whether engagement in a core feature is improving.
RoktAnalyze where users drop off in a product funnel and identify the biggest conversion leak.
RoktExplain how to distinguish early directional metrics from outcome metrics, using a clear KPI framework tied to product decisions.
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Tests data cleaning rigor and preparation practices to ensure reliable analysis at Rokt.
RoktTests hands-on data analysis tooling proficiency relevant to Rokt’s data workflows.
RoktAggregate Rokt campaign delivery events to calculate volume and success rates, including campaigns with no matching events.
RoktCalculate a 7-day rolling average of Adobe Acrobat document exports using a window function.
Abbott
AdobeOOura RingUse joins, CTEs, and aggregations to find the weakest step in an onboarding funnel and estimate lost conversions.
Atlassian
Revolut