Problem Solving Leadership Questions
Leading the identification, analysis, and resolution of project issues and blockers at an organizational or cross functional level. Emphasis on diagnostic techniques to find root causes, setting clear escalation criteria, engaging and aligning stakeholders, facilitating collaborative decision making, implementing solutions, measuring effectiveness, and documenting postmortems and lessons learned. Candidates should demonstrate how they prioritize issues, communicate trade offs, drive consensus, and institutionalize improvements to prevent recurrence.
HardTechnical
0 practiced
An upstream schema change silently added a nullable column, causing a downstream aggregation to produce incorrect results without failing. Outline detection, containment, remediation, and preventative strategies (schema registry, contract tests, CI checks) to avoid similar silent schema evolutions.
HardTechnical
0 practiced
Design an on-call rotation for data analysts and data engineers to handle data incidents while minimizing burnout. Include shift length, escalation matrix, handoff checklist, compensation or recognition, and a mechanism to pause non-critical work during major incidents.
EasyTechnical
0 practiced
Write a concise runbook entry suitable for an on-call data analyst for the alert: 'ETL job daily_transform_02 failed at scheduled time and downstream reports are stale.' Include: immediate triage commands/queries, required contacts and escalation levels, quick rollback or workaround options, and key success criteria to resolve the incident.
MediumSystem Design
0 practiced
Design a monitoring dashboard concept for both executives and engineers for data health and major incidents. Requirements: show top 5 business-impacting metrics, current incident alerts and severity, last successful ETL per pipeline, and incident timeline. List components, data sources, and how you would handle role-specific views and on-call links.
MediumTechnical
0 practiced
A nightly ETL job that populates the orders table has been failing for the last 6 hours, leaving dashboards stale. As the data analyst leading the incident response, describe the cross-functional actions you would coordinate: what data do you pull, what stakeholders do you involve, what hypotheses do you test first, and how do you present tradeoffs for 'rollback' vs 'hotfix' to product and engineering?
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