- Investigate questions that span qualitative textual analysis and quantitative analysis. Identify trends, isolate anomalies, and drive to the root cause rather than stopping at the first correlation.
- Treat data quality as a named deliverable: freshness and volume checks, schema-change alerting, and lineage that makes it possible to trace any number in any deck back to its source.
- Maintain data documentation and dictionaries that stay current as the stack changes.
- Develop and present reports, charts, graphs, and tables for internal stakeholders, sub-companies, and third parties.
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