Analyze and interpret complex datasets using SASPython and other analytical tools Develop and maintain data hygiene processes to ensure data quality and results accuracy Deliver results and insights using different data sources Utilize SAS and Python to automate recurring projects as well as Ad Hoc request Appropriately account for the timeliness and quality of all assignments Collaborate with internal stakeholders to manage data logistics - including data transfers, understanding data structures, business rules, etc