EY-Parthenon Data Analyst Interview Questions
The questions to prepare for a EY-Parthenon Data Analyst interview. Questions from real interview reports rank first. Updated daily.
Design a batch ETL pipeline that cleans messy CSV and JSON datasets into analytics-ready tables with data quality checks and daily SLAs.
EY-ParthenonImplement a simple Python transformation that computes the average of a numeric list.
EY-ParthenonExplain how structured and unstructured data differ, and how that changes pipeline design and downstream modeling.
EY-ParthenonTests your ability to build a market sizing approach from scratch with clear assumptions and data sources.
EY-ParthenonTests your product sense and ability to select relevant data for market-entry decisions at EY-Parthenon.
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Tests ability to select appropriate statistics and justify choices for analysis quality.
EY-ParthenonTests your data preparation process for reliable downstream analysis.
EY-ParthenonTests your ability to design time-series style analyses and interpret sales movements.
EY-ParthenonCalculate a three-day moving average of active-client revenue using aggregation and SQL window functions.
Join operational, team, and client data to calculate monthly KPI averages and month-over-month trends by business unit.
EY-ParthenonAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
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Benjamin Moore