Senior Facility Planning & Capital Asset Analyst

Overview

Senior Facility Planning & Capital Asset Analyst – long-term W2 contract position in Long Beach, CA. Requires a Bachelor’s degree, 2+ years in data analytics or facility planning, and proficiency in SQL or similar tools.

Location:

Long Beach, CA 90822. On-site. Pay: competitive market rate. This is a freelance data hiring opportunity powered by Data Freelance Hub.

• Attend weekly Capital Asset Management (CAM) meetings and collaborate with hospital service working groups to support facility planning initiatives.
• Conduct research using internal databases and planning systems to analyze space utilization, patient projections, and facility capacity needs.
• Develop formal reports and analytical summaries assessing the current state of hospital space, infrastructure, and operational support.
• Translate facility and space requirements into multi-year project plans, outlining capital projects and improvements needed over a 10-year planning horizon.
• Review existing Master Facility Plans and identify areas requiring updates based on operational changes or infrastructure assessments.
• Provide timely responses to requests for information (RFIs), calls, and email inquiries related to facility planning and capital projects.
• Assist with space management surveys and site assessments to document the function, ownership, and use of spaces across the campus.
• Support the planning and coordination of space relocations and departmental moves associated with renovations, construction, or operational needs.
• Develop visualization materials, briefs, and presentations for leadership, stakeholders, and external audiences.
• Participate in planning sessions to scope future infrastructure projects and identify areas requiring specialized technical expertise.
• Ensure planning recommendations align with federal regulations, facility standards, and compliance requirements.
• Assist in developing architectural and engineering planning documentation for campus facilities, including utilities and infrastructure systems.
• Contribute to pre-SCIP design planning efforts, including project impact assessments, space gap analysis, and infrastructure evaluations.
• Support the development of movement mitigation strategies to minimize disruptions to medical center operations during construction or renovation projects.
• Assist with cost estimation and budget forecasting for planned capital projects based on pre-design investigations and planning results.
• Participate in Facility Master Planning coordination meetings, providing analysis and recommendations for future capital investments.
• Identify, evaluate, and recommend solutions for complex infrastructure and facility planning challenges affecting campus operations.
• Support planning for improvements including building renovations, interior upgrades, utility systems, water distribution, drainage systems, roads, and campus infrastructure.

• Bachelor’s degree required (Architecture, Engineering, Data Analytics, Healthcare Administration, Urban Planning, or related field preferred).
• 2+ years of experience in data analytics, facility planning, healthcare planning, or related analytical roles.
• 1+ year of project planning or project management experience supporting infrastructure or facility initiatives.
• Knowledge of data analysis tools and methodologies, including data mining, database management, statistical analysis, and reporting.
• Experience working with data tools such as SQL, R, SAS, or similar analytical platforms is preferred.
• Familiarity with healthcare facility operations and Patient-Centered Care culture is highly desirable.
• Experience supporting master planning or strategic planning efforts within healthcare or commercial environments.
• Proficiency with Microsoft Office Suite (Excel, PowerPoint, Word, Outlook) required.
• Exposure to AutoCAD, Revit, or Microsoft Project is a plus.

• Weekly pay
• Medical, dental, and vision coverage
• Voluntary Life and AD&D coverage
• Paid Training
• Opportunity for advancement upon performance and availability