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Demand Planning Data Analyst, Tech Industry (contract)

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Domain Est. 2026sg.linkedin.com

About the Role

About the Role Our client is a leading global technology company and they are looking for a Procurement Analyst to support business and procurement strategies through demand planning, forecasting, financial analysis, and stakeholder management. In this role, you will act as a key liaison between Procurement and various business functions, helping stakeholders identify opportunities, improve demand planning processes, and make data-driven business decisions. This is a contract role ending on 2 March 2027. Responsibilities • Partner with business functions to understand demand, business priorities, KPIs, and strategic objectives across multiple procurement categories. • Provide actionable insights from data analysis to support business and procurement decision-making. • Support category owners in developing effective procurement and category strategies based on demand and business insights. • Analyze historical trends, demand drivers, and business data to develop and validate forecasting models and planning methodologies. • Identify and prioritize procurement and spend opportunities and develop relevant project pipelines. • Use historical and comparable-item data to develop forecasts and establish appropriate order points for new items. • Develop and improve demand planning processes, governance frameworks, reporting, and stakeholder engagement models. • Facilitate alignment between Procurement and business stakeholders across Finance, Sales, Supply, Product, and Engineering. • Track and report performance against established OKRs, KPIs, and business targets. Requirements • 5-7 years of procurement, demand planning, supply chain, business analytics, or a related field. • Strong understanding of procurement processes, business planning, and demand management. • Experience in demand forecasting, financial analysis, spend analysis, or business intelligence. • Strong data analysis and problem-solving skills, with the ability to translate data into actionable business insights. • Good business acumen and strategic thinking. • Strong understanding of KPIs, performance measurement, and business reporting. • Proficiency in tools such as Excel, Power BI, Tableau, SQL, or other data analytics/forecasting tools.

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