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.
HardTechnical
0 practiced
Case study: After launching a new onboarding flow, BI reports show a 10% uplift in retention for one week, then metrics revert to baseline. Design an analysis plan to determine if the uplift was causal: what data checks, segmentation, statistical tests, and confounders would you investigate?
MediumTechnical
0 practiced
Describe and provide pseudocode (or Python) for an incremental ETL job that loads new and updated rows from a source 'orders' table into a target warehouse table. Include upsert logic, handling deletions, idempotency, watermarking, and how you would backfill historical data safely.
MediumTechnical
0 practiced
You are charged per byte scanned in BigQuery and a dashboard scans 5 TB per day. Provide a detailed optimization plan to reduce costs without impacting accuracy: discuss partitioning, clustering, predicate pushdown, denormalization, materialized views, BI caching, and approximate functions where appropriate.
MediumTechnical
0 practiced
Design a testing and monitoring strategy for a BI pipeline that includes unit tests for transformation functions, integration tests for pipeline runs, snapshot tests for table outputs, and production monitoring with health checks and data quality alerts. Provide examples of specific assertions you would implement.
MediumTechnical
0 practiced
Write an optimized SQL query to compute a rolling 7-day revenue per product for the last 90 days given sales(product_id, amount, occurred_at). Target BigQuery or PostgreSQL syntax. Explain why your approach avoids scanning the whole table for each day.
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