Hennepin County, Minnesota Data Analyst Interview Questions
The questions to prepare for a Hennepin County, Minnesota Data Analyst interview. Questions from real interview reports rank first. Updated daily.
Redesign a slow Databricks Spark ETL pipeline to cut runtime from 3 hours to under 60 minutes without breaking data quality or SLAs.
Hennepin County, MinnesotaApproach for handling missing data in an ML data pipeline, including validation, imputation, and safe downstream consumption.
Hennepin County, MinnesotaApproach for maintaining data quality and integrity across ETL pipelines.
Hennepin County, MinnesotaWalk through a past project using hypothesis testing and regression to turn data into a decision.
Hennepin County, MinnesotaTests ability to translate public health goals into an analysis plan and actionable insights.
Hennepin County, MinnesotaTests metric selection aligned to outcomes, equity considerations, and measurable impact.
Hennepin County, MinnesotaExtract qualifying market observations by venue and price, then return them in chronological order.
Hennepin County, MinnesotaTests quantitative reasoning for evaluating program tradeoffs and decision-making.
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Extract active marketing campaigns, exclude incomplete records, and sort them by budget from highest to lowest.
GICAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
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Benjamin Moore