Industrial Engineering Analytics Engineer

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 optimization Simulation tools: FlexSim, AnyLogic, or Simio Advanced Excel, SQL, Python, Power BI/Tableau PFEP, material flow modeling, forecasting & scenario analysis AI/ML-based analytics (preferred) Experience: 7+ years in industrial engineering analytics/manufacturing modeling Expertise in capacity, labor, and cost modeling Strong factory operations, throughput optimization, and cost analysis experience Experience with MES, shop-floor data integration, and business case development Looking for strong technical SMEs with hands-on manufacturing analytics and modeling expertise. Compensation: $60.00 - $65.00 per hour # **Empowering the Future of Healthcare** The healthcare Industry is on the brink of a paradigm shift where patients are increasingly being viewed as empowered consumers, utilizing digital technologies to better understand and manage their own health. 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. ClinDCast is at the forefront of shaping the future of healthcare by partnering with globally recognized healthcare organizations and offering them innovative solutions and expert guidance. Our suite of services is designed to cater to a broad range of needs of healthcare organizations, including healthcare IT innovation, electronic health record (EHR) implementation & optimizations, data conversion, regulatory and quality reporting, enterprise data analytics, FHIR interoperability strategy, payer-to-payer data exchange, and application programming interface (API) strategy.