Analysis / Data engineering and quality
Find invalid values against business rules
Check allowed values, numeric ranges and crossfield constraints, separating approved exceptions and showing the effect on a selected business metric.
Data analyst · Analytics engineer
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Your starting prompt.
Evaluate [dataset] against [business validation rules], covering allowed categories, numeric bounds, date order and crossfield constraints. Report failed rules by source and period, with affected counts and bounded samples. Separate approved exceptions from unexplained violations and calculate the impact on [key metric]. Produce proposed correction and owner queues while preserving raw values and avoiding automatic substitutions.
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Method and review
Keep the assumptions visible.
Profile keys, row counts, types, missing values and join cardinality. Retain source lineage and concrete exception records so a correction can be checked.
For this task, check
Valid ranges can vary by geography, product version or effective date.
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Before you begin
- Bring exports you are allowed to upload, or data your Workspace can already query.
- Choose the reporting period and agree what each record represents.
Work with permitted files or queryable data. Verify the result against the original records.
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Make it your investigation.
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