ESPN Data Analyst Interview Questions
The questions to prepare for a ESPN Data Analyst interview. Questions from real interview reports rank first. Updated weekly.
Tests knowledge of statistical methods and ability to apply them to real analysis work.
ESPNTests ability to analyze audience ratings and produce actionable insights for business decisions.
ESPNTests metrics thinking, diagnostics, and ability to drive actionable conclusions from audience changes.
ESPNApproach for maintaining data quality and integrity across ETL pipelines.
ESPNTests SQL proficiency for extracting relevant metrics from sports-related datasets.
ESPNTests motivation, leadership mindset, and ability to influence team performance.
ESPNTests performance tuning skills for SQL, including indexing, query plans, and efficient logic.
ESPNTests product sense and metric-driven approach to diagnosing and improving engagement.
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Compute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.
Gain Digital
TCS
Zest AIUse joins, a CTE, and conditional aggregation to compare Chime signup-to-funded conversion rates by acquisition channel.
HelloFresh
Rippling
MotiveCalculate day-30 retention by acquisition channel using joins, CTEs, date filtering, and channel-level aggregation.
Rippling
Instacart
payactiv