T#5955 Senior Analytics Platform Engineer (Linux/AWS/Python/SAS)

• Enterprise Linux administration (RHEL 8): Every platform runs on Linux across 14+ servers. Strong command-line proficiency with systemd, performance analysis, user administration, and PAM-based authentication is the foundation.
• Multi-platform analytics management: This role spans SAS, Python/Condaplus, R/RStudio, SPSS, PyCharm, and KNIME simultaneously. The person must context-switch daily and communicate upgrade timelines and capacity constraints to business-side peers.
• AI tool proficiency: We use AI extensively for troubleshooting, building internal tools, automating workflows, and generating documentation. We need someone who actively leverages AI to accelerate their work.

Must-haves vs. learn on the job: Must-haves:

• Linux administration on RHEL
• Bash and Python scripting
• AWS experience
• Experience with at least one enterprise analytics platform
• Comfort using AI tools in daily workflows

Soft skills:

• Clear communicator who can translate technical issues for business audiences
• Self-starter who takes ownership without waiting to be directed
• Comfortable navigating ambiguity across multiple platforms and priorities
• Collaborative - works well with onshore/offshore teams, vendors, and LOB stakeholders

Pulled from the full job description

• 401(k)
• Health insurance