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
Design a cross-team SLA dashboard that aggregates SLAs across microservices into a product-level customer-facing reliability score. Discuss weighting services by customer impact, representing partial outages, dependency graph modeling, and how to handle cascading failures in the aggregated score.
EasyTechnical
0 practiced
When designing dashboards, how do you choose aggregation granularity (e.g., 1s, 1m, 1h) and retention for metrics used by SREs? Explain the trade-offs between freshness, resolution, storage cost, and usefulness for incident diagnosis.
HardSystem Design
0 practiced
You need to migrate BI storage from a legacy on-prem warehouse to a cloud OLAP store with minimal downtime and consistent dashboards. Outline a migration plan: data sync strategies, dual-writing vs backfill, validation checks, cutover steps, monitoring, and rollback scenarios.
MediumTechnical
0 practiced
Outline best practices to instrument feature flags and report their impact in BI so SREs can correlate flag changes with reliability metrics. Include event schema, tagging, experiment metadata, and dashboards to monitor both feature behavior and reliability impact.
EasyBehavioral
0 practiced
Walk me through your business intelligence background with emphasis on the specific BI platforms and tools you've used in production (for example: Looker, Tableau, Grafana, Power BI, Superset, Metabase). For each tool: describe the types of dashboards or reports you built (operational SRE dashboards, executive scorecards, ad-hoc analysis), the data volumes and sources you connected, how dashboards were consumed by different stakeholders (SRE, product, execs), and any automation or alerting integrations you implemented to support reliability work.
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