Senior Data Analyst

Role Overview

The Senior Data Analyst serves as the lead analytics, reporting, compliance, and business intelligence resource supporting River Campus Facilities operations and related UFS departments. Working closely with the Director of Asset Management, this position integrates and transforms complex operational, compliance, maintenance, customer service, inventory, procurement, and asset data into actionable intelligence supporting strategic decision-making, capital planning, regulatory compliance, Joint Commission readiness, and operational excellence.

What You Will Do

The role develops enterprise reporting, dashboards, KPIs, predictive analytics, and technology-enabled solutions and serves as a key contributor to the implementation and ongoing operation of the Enterprise Asset Management (EAM) system.

Why It Might Be a Fit

The ideal candidate will have experience translating complex operational and business data into actionable insights that support strategic planning and decision-making, and will have experience supporting regulatory compliance programs, performance improvement initiatives, audits, accreditation requirements, or operational reporting functions.

Requirements

• Bachelor’s degree in Data Analytics, Business Analytics, Information Systems, Computer Science, Statistics, Engineering, Facilities Management, Business Administration, Public Administration, or a related field
• 5 years of experience in data analytics, business intelligence, operational analysis, compliance, asset management, facilities operations, or a related field
• Experience translating complex operational and business data into actionable insights that support strategic planning and decision-making
• Experience supporting regulatory compliance programs, performance improvement initiatives, audits, accreditation requirements, or operational reporting functions
• Experience with Joint Commission, Department of Health, OFPC, NFPA, CMS, OSHA, EPA, or other regulatory compliance programs
• Experience supporting Enterprise Asset Management (EAM) systems in a facilities, healthcare, higher education, or large institutional environment
• Experience with asset lifecycle management, capital planning, maintenance management, or facilities performance analytics
• Experience with programming languages such as SQL, Python, PowerShell, VBA, or other automation technologies
• Experience utilizing artificial intelligence, machine learning, automation, or advanced analytics tools to improve business processes and decision-making

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Retirement plan
• Paid time off
• Holiday pay
• Life insurance
• Disability insurance

Tagged as: Data Analysis