·84 months of Experience (This is non-negotiable they must meet this)
·84 months experience implementing advanced analytics and predictive modeling, data profiling, and programming experience (e.g., math, statistics, and quantitative methods) in a healthcare environment.
·84 months experience using Base SAS, SAS/Macros, and SAS Enterprise Guide on both Windows and Unix/Linux operating systems
·60 months of data modeling experience using data toolkits like Python or R
·60 months of data visualization experience in a cloud environment using AWS Quick sight, Google Data Studio, and/or Tableau.
·60 months experience with relational and multi-dimensional databases and data management tools like Oracle and BigQuery.
·36 months developing and performing quality testing, with the ability to identify data quality issues at the business level and support the creation of data quality rules
·Bachelor’s degree or higher in mathematics, statistics, engineering, operations research, public health, computer science, data mining, predicative modeling, machine learning, artificial intelligence, bioinformatics, or computational biology. A copy of the degree must be submitted with the Candidate Response Form.