SAS Administrator - SkyElia : Job Details

SAS Administrator

SkyElia

Job Location : Pittsburgh,PA, USA

Posted on : 2025-08-05T07:44:33Z

Job Description :
About:
  • Location: Pittsburgh, PA
  • Contract: 6 months
The Role: SAS Admin and Architect
  • SAS Office analytics SAS Enterprise guide SAS Data integration studio SAS Cost and profitability management from finance background.
  • Overall responsibility for the effective operation of the SAS Analytics Environment
  • Work with users providing advice on the best practice for the creation of analytics processes, programs or models to best utilize the SAS environment
  • Via SAS Management Console, control user access to various parts of the SAS system, granting permissions to read, write, create or view reports and data within the system - ensure that users see only the information that they are authorized to access
  • Working with the Development team
  • Responsible for the maintenance of in-place programs
  • Manage all SAS product installations and upgrades
  • Configure SAS products and SAS output channels
  • Research and make recommendations on hardware and SAS software
  • Investigate, escalate, and resolve all SAS production support incidents in accordance with the Production Support Process
  • Maintain and execute disaster recovery procedures as needed Architect skills
  • Experience in supporting high memory SAS environments that are enterprise wide and serve multiple business units
  • Strong knowledge of relational database design and data warehouse best practices
  • Expert SQL skills, Oracle, MySQL, Teradata
  • Expert knowledge of SAS analytic capabilities that include statistical analysis, forecasting, predictive modelling and data mining
  • Good understanding of systems, networking, and storage
  • Experience installing SAS software and patches in UNIX environment Must have:
  • Expert in SAS
  • Strong in SAS Management Console, access control
  • SAS installs, upgrades, patches (UNIX)
  • Advanced SQL (Oracle, MySQL, Teradata)
  • Data warehouse & relational DB design
  • SAS analytics: stats, forecasting, modeling, mining
  • Finance domain exposure
  • Disaster recovery & production support
Apply Now!

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