Provide quality, statistically valid analysis and related output
- Employ appropriate data analysis techniques and statistical methodologies such as regression analysis (both linear and non-linear), cluster analysis, CHAID, factor analysis/principal component analysis, time series, survival models, experimental designs using SAS and other statistical software under minimal supervision
- Appropriately account for the timeliness and quality of all assignments
- Collaborate with cross-functional internal resources
- Apply basic analytical techniques to explore raw data, identify data issues, and QA/QC data and analysis output to ensure accuracy
- Manage multiple projects concurrently
- Monitor project progress relative to timeline and scope
- Create appropriate documentation for the analytical work
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