Analyst – Facility Engineering & Asset Management

About the Team – Supply Chain Operations The Supply Chain Operations team plays a critical role in enabling the end-to-end supply chain ecosystem. We are responsible for managing key business processes and supporting the development and execution of capabilities that enhance operational efficiency, accuracy, and responsiveness. Our team is collaborative, data-driven, and focused on delivering value through continuous improvement and strategic planning. Job Summary The Analyst – Facility Engineering & Asset Management is an individual contributor responsible for executing data analytics, reporting, and performance monitoring activities supporting facility engineering, maintenance excellence, and asset lifecycle management across Target’s supply chain network, with a strong focus on 4-wall operations. The role analyzes facility maintenance, asset management, and material handling equipment (MHE) data to identify performance gaps and generate actionable insights related to equipment reliability, asset productivity, maintenance optimization, and operational efficiency. Based in TII, the Analyst partners with global engineering, maintenance, operations, and technology teams to deliver accurate analytical outputs and support data-driven decisions. Key Responsibilities ·       Extract, clean, validate, and analyze data from multiple operational systems to generate actionable insights supporting facility engineering, maintenance, and asset management decisions. ·       Develop, maintain, and enhance dashboards, reports, and analytical solutions using SQL, Python, Power BI, or similar tools to monitor facility and equipment performance. ·       Collaborate with the engineering team and ensure the system uptime is maintained at a certified level to avoid any throughput losses ·       Have an understanding of the engineering aspects of asset functioning to evaluate the maintenance and spare parts details ·       Track and analyze asset health, equipment reliability, maintenance effectiveness, and operational performance across distribution facilities to identify trends and opportunities. ·       Monitor equipment uptime, MTBF, MTTR, preventive maintenance compliance, and maintenance costs to support reliability and maintenance optimization. ·       Consolidate and analyze equipment performance, asset condition, maintenance costs, and investment data to support capital planning, engineering projects, and asset lifecycle decisions. ·       Support automated reporting solutions, analytical models, and visualization capabilities while exploring AI/ML and advanced analytics to improve efficiency and insights generation. ·       Partner with global engineering, maintenance, operations, and technology teams to understand requirements, validate data, resolve issues, and deliver analytical solutions.