* Ingest, transform, and analyze data using SAS, Python, or R.
* Develop and apply sample weighting and risk-adjustment methods.
* Produce summary data reports and presentations using Excel and PowerPoint.
* Support the development of detailed data reports.
* Support ad-hoc analyses and studies to identify trends across time and sample populations.
* Perform data quality assessments to identify anomalies, determine potential causes of anomalies, and suggest remedial actions.
* Support the validation and enhancement of data abstraction processes, algorithms, and measures.
* Communicate findings and recommendations to internal and external stakeholders
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