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.
MediumSystem Design
0 practiced
Design a cost-efficient storage strategy for BI data in cloud: hot layer for last 30 days with frequent queries, warm layer for 1-2 years, and cold archive for >2 years. Specify technologies and partitioning/compaction approaches to balance cost and query latency.
HardSystem Design
0 practiced
Imagine you must surface BI KPIs to an executive dashboard with strict uptime and sub-second load requirements. Which design decisions (materialized aggregates, dedicated serving DB, precomputed TTL caches) would you choose and why? Discuss trade-offs in consistency vs latency.
HardTechnical
0 practiced
Implement a monitoring query (pseudo-SQL) that calculates the percentage of ETL jobs that completed successfully in the last 24 hours from table etl_runs(job_name, start_ts, end_ts, status). Also, outline alert thresholds and on-call playbook steps for failures.
EasySystem Design
0 practiced
Outline an ETL pipeline you designed for ingesting customer events from multiple sources (mobile app, web, third-party). Include ingestion methods, staging, transformation logic, scheduling, idempotency considerations, and how you handled late-arriving or duplicate events.
MediumTechnical
0 practiced
Describe how you would implement a self-serve BI experience for analysts: cataloging datasets, templated reports, sandbox environments, and guardrails. What governance processes do you put in place while enabling autonomy?
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