Summary: As a Senior Statistical Analysis Software Platform Activity Support specialist, you will play a pivotal role in supporting, maintaining, and optimizing statistical analysis software platforms critical to the delivery of business insights and analytics solutions. Your expertise will ensure seamless platform operations, enable advanced data-driven decision-making, and contribute significantly to the company’s commitment to providing innovative technology solutions that empower clients worldwide.
DETAILED RESPONSIBILITIES -
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, PowerShell) 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.
