Analyst – Facility Engineering & Asset Management

Overview

An individual contributor role executing data analytics, reporting, and performance monitoring supporting facility engineering, maintenance excellence, and asset lifecycle management across Target's supply chain network, with a strong focus on 4-wall operations. Based in TII.

What you'll do

• 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.
• Understand 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.
• Independently execute assigned analytical projects and activities, ensuring data accuracy, adherence to established processes, and timely delivery of quality outputs.
• Prepare and present clear reports, performance insights, and recommendations to the global leadership team and cross-functional stakeholders to support data-driven decision-making.

What you'll need

• Bachelor's degree in Engineering, Data Analytics, Computer Science, Statistics, or a related technical field.
• 1–3 years of relevant experience in data analytics, business intelligence, engineering analytics, supply chain operations, asset management, or related disciplines.
• Hands-on experience with SQL, Python, R, or similar technologies for data extraction, analysis, and reporting.
• Experience developing dashboards and reports using Power BI, Tableau, Excel, or similar visualization tools.
• Strong analytical and problem-solving skills, including interpreting large datasets and identifying meaningful trends.
• Understanding of data validation, data quality, and reporting processes.
• Ability to translate business requirements into analytical outputs and actionable insights.
• Strong communication and cross-functional collaboration skills; ability to independently manage assigned work and meet timelines.
• Willingness to learn facility engineering, asset management, and maintenance processes in a global supply chain environment.

Nice to have

• Exposure to facility engineering, maintenance operations, asset management, or MHE in distribution or manufacturing environments.
• Exposure to retail operations, supply chain, distribution centers, warehouse operations, manufacturing, logistics, or industrial engineering environments.
• Familiarity with CMMS/EAM platforms such as SAP PM, IBM Maximo.
• Experience working with operational, equipment, or maintenance datasets.
• Exposure to reporting automation, predictive analytics, AI/ML, or advanced analytics.
• Exposure to working in warehouse operations.

Details

• Location: Bangalore, India (TII).