Job Title: Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling)Required Skills:Capacity modeling (OEE, cycle time, bottleneck analysis)Labor & cost modeling (COGS, LOH, ROI, NPV, IRR)Manufacturing analytics & process optimizationSimulation tools: FlexSim, AnyLogic, or SimioAdvanced Excel, SQL, Python, Power BI/TableauPFEP, material flow modeling, forecasting & scenario analysisAI/ML-based analytics (preferred)Experience:7+ years in industrial engineering analytics/manufacturing modelingExpertise in capacity, labor, and cost modelingStrong factory operations, throughput optimization, and cost analysis experienceExperience with MES, shop-floor data integration, and business case developmentLooking for strong technical SMEs with hands-on manufacturing analytics and modeling expertise. As a result, there is a growing demand for a range of patient-centric services, including personalized care that is tailored to each individual's unique needs, health equity that ensures access to care for all, price transparency to make healthcare more affordable, streamlined prior authorizations for medications, the availability of therapeutic alternatives, health literacy to promote informed decision-making, reduced costs, and many other initiatives designed to improve the patient experience.