Analytical Background Questions
The candidate's analytical skills and experience with data driven problem solving, including statistics, data analysis projects, tools and languages used, and examples of insights that influenced product or business decisions. This covers academic projects, internships, or professional analytics work and the end to end approach from hypothesis to measured result.
HardSystem Design
0 practiced
Design an automated anomaly detection and root-cause analysis (RCA) system for key business metrics that reduces false positives and surfaces likely causes for human analysts. Describe feature engineering, choice of models (statistical and ML), enrichment of anomalies with metadata, alert prioritization, and a feedback loop to improve detection.
EasyTechnical
0 practiced
Design an executive dashboard for a mid-stage e-commerce company (no more than a single screen). List the core tiles/visualizations you would include, the primary metrics and their formulas, and two design principles to ensure the dashboard is actionable for executives who have 2 minutes to glance at it.
EasyTechnical
0 practiced
Write an Excel formula (or a short description of one) that computes a weighted average for values in column A (A2:A101) with weights in column B (B2:B101). Explain how you would handle cases where some weights are zero or blank and when weights sum to zero.
HardTechnical
0 practiced
You suspect selection bias when evaluating a marketing campaign (treated users self-selected). Describe and provide pseudocode or SQL for implementing propensity score matching: selecting covariates, fitting the propensity model, matching (nearest neighbor or caliper), common support diagnostics, and balance checks (standardized mean differences).
EasyTechnical
0 practiced
Explain the difference between correlation and causation. Provide one example where mistaking correlation for causation in analytics led to a poor business decision, and describe a method you could use to move from correlation to evidence supporting causality.
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