Senior Executive – Data Analytics (SCOM)

• Establish robust processes to collect, clean, and analyze the Fulfilment Centre operational data (inbound, inventory, outbound) to generate actionable insights.
• Support Fulfilment Centre operations, product, and logistics teams by translating data insights into operational strategies and execution plans.
• Define key metrics and build monitoring frameworks to track Fulfilment Centre performance, efficiency, and SLA adherence.
• Proactively identify operational risks, bottlenecks, and inefficiencies by analyzing trends, patterns, and system behaviors, and provide forward-looking recommendations.
• Write, optimize, and maintain complex SQL queries to support recurring and ad-hoc data analysis needs across large datasets.
• Automate reporting pipelines and dashboards to improve data accessibility, reduce manual effort, and enable faster decision-making.
• Support Fulfilment Centre expansion, automation, and capacity planning initiatives through data modeling, forecasting, and scenario analysis.
• Collaborate closely with cross-functional stakeholders to ensure data accuracy, alignment with business objectives, and successful project delivery.

Requirements

• Bachelor’s degree in Data Analytics, Statistics, Computer Science, Engineering, or other quantitative/analytical fields.
• Strong proficiency in SQL and Excel for data extraction, analysis, and reporting.
• Knowledge of Python for data analysis or automation is an added advantage.
• Minimum 3 years of relevant working experience in data analytics, preferably in operations, logistics, supply chain, or warehouse environments.
• Proven experience in automating data workflows, reports, or dashboards.
• Strong analytical and problem-solving skills with the ability to think systematically and understand complex, end-to-end operational processes.
• Ability to communicate and present complex insights and recommendations in a clear, structured, and actionable manner.
• Comfortable managing multiple concurrent requests and working independently in a fast-paced environment.