Job Description :
SAS ADMIN
Location: Minneapolis MN- OR Boston OR PA
R experience would be a plus, but is not required!
contract or contract to hire

The Senior Analyst/Developer will support the organization by partnering cross-functionally in the development, implementation, and maintenance of Bluestem’s advanced analytic environments and build new enterprise analytic capabilities. Simply put, we need an experienced advanced analyst candidate that enjoys or desire to hold administrative responsibility for our enterprise.
What You''ll Do:
Support strategic initiatives across the company by enhancing and evolving the BI advanced analytics capability and ensuring business goals are met
Build advanced analytic solutions using statistical and machine learning methods for per BI Developers to scale as a service
Design experiments to learn new insights and correlations to advance operational efficiencies or reveal revenue opportunities
This position will be directly responsible for growing the R capability by sharing best practices and standards
Act as the system administrator for R and SAS applications, servers, users, and EBI platform administration, including implementation, configuration, upgrade, migration, maintenance, coordination, problem resolution, testing, usage and performance monitoring and the design/development of system infrastructure
The ideal candidate must possess the ability to interface with all aspects of an IT infrastructure especially as it pertains to setting best practices, making recommendations and working with R and SAS to make it fit with existing IT rules
Maintain applicable licenses and provide monthly metrics on system usage
Act as a subject matter expert and liaison to advanced analytic users and Technology
Partner with business teams to influence the analytic community of new functionality available in SAS/R
Lead development and execution of test cases to demonstrate forecast and prediction capabilities
What You''ll Need:
Bachelor''s degree (Analytics, Mathematics, Statistics, Data Science, Machine Learning, Computer Science, or related experience)
Experience in Retail or Financial Services preferred
3+ years of experience developing/administering an R environment
3+ years of experience supporting an SAS environment preferred
Experience writing queries and complex analytics (TSQL, Proc SQL, or similar)
Experience using SAS Enterprise Guide, Studio, Management Console, and Environment Manager preferred
Development experience using SAS/R against Netezza, MS/Oracle databases, or Hadoop preferred
Experience or familar using or supporting Phython, SparkR, other relevant languages