IntermediateTECHNICAL
You mentioned using SQL and Tableau in your last role—give a specific example of an analysis you built that changed a business decision; what data challenges did you face and how did you validate your findings?
Business Analyst
General

Sample Answer

I built an SQL + Tableau analysis to investigate a 15% month-over-month drop in paid conversions. I joined transaction, marketing attribution, and product-event tables and discovered a growing mismatch: 18% of conversions were being double-attributed due to a legacy attribution script. Data challenges included inconsistent event timestamps and NULL campaign IDs; I cleaned timestamps to UTC, backfilled missing campaign IDs using IP and session heuristics, and documented assumptions. I presented a dashboard showing corrected conversion funnels and scenario modeling that estimated a 12% undercount of organic conversions. After I validated results with A/B checks on a two-week sample, the marketing director paused a planned $250K campaign reallocation and we fixed the attribution script, recovering accurate reporting within a month.

Keywords

Combined multiple tables and fixed timestamp/campaign ID inconsistenciesIdentified double-attribution causing misleading conversion dropValidated with A/B checks and scenario modeling before recommending actionInfluenced decision to pause a $250K campaign reallocation
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