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Data Platform lead - SAS

Job in Raritan, Somerset County, New Jersey, 08869, USA
Listing for: Shrive Technologies LLC
Full Time position
Listed on 2026-09-20
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Information Security & Data Protection, Systems Administrator
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below

Provide expert-level support, maintenance, and troubleshooting for statistical analysis software platforms (e.g., SAS, R, SPSS, Python-based environments).

  • Monitor platform performance, ensure high availability, and proactively resolve incidents and technical issues.
  • Collaborate with cross-functional teams to implement software updates, patches, and enhancements while minimizing downtime.
  • Assist in the integration of statistical analysis tools with enterprise data sources and reporting solutions.
  • Develop and execute platform activity reports, usage analytics, and capacity planning documentation.
  • Ensure compliance with organizational security policies, license management, and audit requirements.
  • Coordinate with vendors and technology partners for issue resolution and service improvement.
  • Provide technical guidance and mentorship to junior team members and contribute to knowledge-sharing initiatives.
SKILL REQUIREMENTS
  • 5+ years of experience supporting and administering statistical analysis software platforms in an enterprise environment.
  • Proficiency in SAS, R, SPSS, or equivalent statistical software, with a strong understanding of installation, configuration, and maintenance procedures.
  • Experience with scripting languages (e.g., Python, Shell, Power Shell) for automation and platform management.
  • Solid grasp of Linux/UNIX and Windows operating systems.
  • Strong problem-solving, analytical, and troubleshooting skills.
  • Excellent communication and documentation abilities.
  • Relevant certifications in statistical software platforms or IT infrastructure (e.g., SAS Certified Platform Administrator, ITIL).
  • Experience with cloud-based analytics platforms or containerization technologies (e.g., AWS, Azure, Docker).
  • Familiarity with data security standards and compliance frameworks.
  • Background in supporting large-scale analytics or data science projects.
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