Vizient is looking to solve business and technical problems related to clinical, operational, and economic outcomes for member hospitals by providing statistically and methodologically sound analytic solutions.
Requirements
- building SAS/Python based ETL Pipelines and Analytic Reports
- building scalable applications and data pipelines for data analytics and internal risk assessment teams
- performing statistical analysis and data validations on adhoc basis for various business user requirements
- building datasets and generating analytic reports for different business process analysis and validations
- utilizing SAS Procedures including Proc SQL and Proc Sort for analyzing and reporting data
- building new ETL Pipelines and enhancing existing pipelines for customizing and streamlining data from multiple sources using shell scripting, SAS and Python
- Data Analysis and Data Mapping for ETL process using SAS, Python, and shell scripting
Responsibilities
- Develop computer programs using Python and perform necessary manipulations to import complex external data into Python or export output to other databases/files.
- Provide computationally complex analysis using statistical software for leadership team to identify critical issues/questions around clinical performance improvement data.
- Generate summary tables, data listings, graphs and derived datasets as specified in statistical analysis plan.
- Generate outputs and reports to support data science and methodological workflows.
- Conduct statistical inference analysis and testing to validate develop and evaluate data driven hypotheses, accuracy and results.
- Develop data science solutions and insights across multiple projects, and single or multiple domains, with minimal guidance.
- Independently leverage machine learning, natural language processing, or other statistical approaches to create, trouble shoot, and implement single platform solutions.
Other
- Requires a Master's degree in Applied Data Science or a directly related field of study
- Telecommute position.
- Must reside within the U.S.
- Various unanticipated locations throughout the U.S.
- Position is part of employee referral program.
