UNC Chapel Hill Data Analyst Interview Questions
The questions to prepare for a UNC Chapel Hill Data Analyst interview. Questions from real interview reports rank first. Updated weekly.
Explain how to clean NULLs, standardize inconsistent values, and validate data before building dashboard-ready datasets.
UNC Chapel HillUse joins, CASE WHEN, and date filtering to compare outcome rates before and after a decision.
HarbourVest PartnersCalculate daily session-level funnel conversion rates using CTEs, CASE WHEN, and date functions.
Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.
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Benjamin MooreExplain how you used a KPI and supporting metrics to diagnose a product issue and make a concrete product decision.
UNC Chapel HillTests applied analytics thinking and translating findings into recommendations for UNC Chapel Hill.
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Approach for maintaining data quality and integrity across ETL pipelines.
UNC Chapel HillTests planning under missingness and ability to produce decision-ready results despite incomplete data.
UNC Chapel HillExplain what drives your best performance and connect it to building useful products for demanding users.
UNC Chapel HillTests high-level approach to evaluating policy effects on student success at UNC Chapel Hill.
UNC Chapel HillTests handling missing data and communicating uncertainty to stakeholders at UNC Chapel Hill.
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