Senior Analyst – Facility Engineering & Asset Management

Overview

An individual contributor role in Target's Supply Chain Operations team, executing data analytics, reporting and performance monitoring that support facility engineering, maintenance excellence and asset lifecycle management across Target's supply chain network, with a focus on 4-wall operations.

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 system uptime is maintained at a certified level to avoid throughput losses.
• Understand the engineering aspects of asset functioning to evaluate 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 or 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

• Based in Bengaluru (TII), India.