314,552 interview questions from 6,000+ companies.
Tests data preparation skills to ensure analysis is based on accurate, reliable inputs.
Tests ability to transform raw data into stakeholder-ready summaries and visuals.
Tests ability to design visuals that surface meaningful patterns and anomalies.
Tests ability to evaluate program impact using appropriate metrics and comparisons.
Tests ability to compute and interpret graduation rate trends over time.
Tests turning analysis into decisions and implications for educational outcomes.
Tests ability to connect multiple student outcome metrics to actionable district decisions.
Tests motivation and fit for education-focused analytics work.
Tests SQL join logic and validation methods to confirm correctness of merged datasets.
Tests practical proficiency with common data manipulation tools and workflows.
Tests data cleaning judgment and integrity checks to produce trustworthy datasets.
Tests ability to frame analysis around equity and mission-aligned outcomes.
Tests practical Excel techniques for performance and usability with large datasets.
Tests statistical reasoning to find drivers of chronic absenteeism from student data.
