Factspan Interview Questions
The questions to prepare for Factspan interviews, across all roles. Questions from real interview reports rank first. Updated weekly.
Evaluates guesstimation methodology and assumption management.
Evaluates guesstimation and business reasoning for a real-world metric.
Evaluates Python fundamentals useful for analysis and data handling.
Tests practical SQL querying and Python logic for analysis tasks.
Use a CTE, joins, and distinct aggregates to calculate Meta Logistics bookstore payment metrics.
Meta LogisticsCount 0 and 1 sensor readings by Bosch building using a CTE, LEFT JOIN, and conditional aggregation.
Bosch Building TechnologiesAggregate completed Shopify sales and admin logins by merchant and month using CTEs, LEFT JOIN, and conditional logic.
ShopifyTests guesstimation structure and basic statistical reasoning.
A structured approach to debugging production data pipelines, with focus on orchestration, data quality, idempotency, and safe backfills.
Tests your ability to select relevant work and communicate impact clearly for a research scientist role.
Evaluates case interview problem solving and business reasoning.
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