Business Intelligence Background Questions
A summary of business intelligence experience including the BI platforms and tools used, types of dashboards and reports built, data volumes and sources, analytical methods, stakeholder consumption patterns, and measurable business outcomes. Candidates should explain how BI efforts influenced decisions, examples of ETL or modeling work, and any leadership or ownership of BI initiatives.
HardSystem Design
23 practiced
Explain how you would build a BI metric lineage feature that, for a given dashboard number, lists all upstream tables, transformations, and ETL jobs contributing to each metric. Include how you would store lineage and make it queryable.
HardSystem Design
23 practiced
Design an incremental backfill strategy for a derived reporting table that is computed from daily raw events. Constraints: minimal downtime for downstream dashboards, ability to resume on failures, and cost sensitivity. Outline steps for an incremental rebuild and verification.
MediumTechnical
21 practiced
Write a PySpark snippet to deduplicate events in an events DataFrame that has columns: event_id STRING, user_id STRING, event_ts TIMESTAMP. Keep the latest event per event_id and explain how you would enforce idempotency if the job is re-run.
MediumTechnical
29 practiced
A marketing stakeholder asks for a one-click report that shows campaign ROI by channel. How would you design the report and its underlying data model to enable: 1) accurate attribution, 2) scalable compute, 3) easy maintenance? Include how you handle multi-touch attribution vs last-touch.
HardTechnical
27 practiced
You are tasked with defining SLAs for dashboard freshness and query latency across business-critical dashboards. Propose SLA tiers, measurement approach, and remediation policies when SLAs are breached.
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