You join as head of BI and inherit a function whose outputs are widely distrusted by executives and product teams. Present a prioritized plan to rebuild credibility with the C-suite: include short-term audit steps, a communication strategy, transparency and documentation measures (metric registry), hiring or training needs, and a 6–12 month trust-building trajectory with measurable milestones.
The company plans to expand internationally and needs comparable metrics across regions that have different event instrumentation and privacy constraints. Propose an approach to standardize metric definitions, handle missing or suppressed fields (e.g., GDPR opt-outs), and present regional comparisons with transparency about limitations and confidence levels.
As a senior BI Analyst interviewing for a staff-level role, draft a 90-day strategic plan that aligns BI capabilities with company OKRs focused on revenue growth. Include prioritized initiatives (automation, self-serve metrics layer, experiment tracking), measurable KPIs to track BI impact (dashboard adoption, time-to-insight, reduction in ad-hoc requests), stakeholder engagement plan, and success criteria for each initiative.
Before interviewing for a BI Analyst role, describe step-by-step how you'd research the company's business model, product lines, customer segments, and top strategic priorities. List the public and internal sources you'd consult (investor deck, product docs, engineering blog, LinkedIn, Glassdoor), what signals you look for (growth levers, churn reasons, top customers), and provide three targeted questions you would ask interviewers based on your research.
Design a data-quality monitoring framework for BI outputs. Specify the types of checks you would run (schema, row-count, distributional, referential-integrity, freshness), alerting thresholds and tiers, ownership and triage process, remediation SLAs for different severities, and how you would present reliability metrics and error rates to stakeholders.
