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.
