Data Cruncher and Inventory Demand Forecaster

Job opportunity for Data Cruncher and Inventory Demand Forecaster (#733)

Location:

PT Talenta Eksekutif Asia in Kota Jakarta Barat, DKI Jakarta, Indonesia.

Kualifikasi: This role requires the candidate to work in Jakarta Selatan, Indonesia.

Our client is a diversified holding group with business interests spanning mining services, heavy engineering, infrastructure development, and large-scale agricultural technology operations. Through its portfolio of operating companies, the organization manages complex supply chains, large-scale asset deployments, and geographically dispersed operations that require sophisticated planning, inventory management, and operational coordination to support business continuity and sustainable growth. Operating across multiple industries and regions, the group relies heavily on data‑driven decision‑making to optimize resource allocation, improve operational efficiency, and strengthen supply chain performance.

The organization offers a dynamic environment where analytical professionals can work directly with executive leadership, contribute to strategic operational initiatives, and influence critical business decisions through advanced forecasting, inventory optimization, and operational analytics.

The Data Cruncher & Inventory Demand Forecaster is responsible for developing predictive inventory models, demand forecasting frameworks, and operational analytics that support the group's diverse business operations. The role focuses on transforming large volumes of operational, inventory, and supply chain data into actionable insights that improve inventory availability, reduce excess stock, optimize working capital utilization, and support business planning across multiple subsidiaries.

The successful candidate will collaborate closely with operations, procurement, warehouse, logistics, engineering, and management teams to identify trends, forecast material requirements, and strengthen supply chain performance. This position is ideal for analytical professionals who possess strong quantitative capabilities and enjoy applying data science, forecasting methodologies, and operational analytics to solve complex business challenges within asset‑intensive industries.

• Collect, validate, organize, and analyze large operational datasets from multiple business units, warehouses, and project sites.
• Develop and maintain demand forecasting models for critical inventory categories, including spare parts, consumables, operational materials, fuel allocations, and other strategic inventory items.
• Monitor inventory performance, consumption trends, supplier lead times, stock movements, and warehouse utilization metrics to improve planning accuracy.
• Calculate safety stock levels, reorder points, Economic Order Quantity (EOQ), and inventory optimization parameters to support business continuity and cost efficiency.
• Design dashboards, analytical reports, and performance tracking tools that provide visibility into inventory health, operational efficiency, and supply chain risks.
• Identify inventory inefficiencies, excess stock, obsolete materials, duplicate purchases, and working capital optimization opportunities through data analysis.
• Support procurement teams with forecasting insights, purchasing recommendations, and inventory planning strategies.
• Collaborate with warehouse, logistics, operations, engineering, and supply chain stakeholders to align inventory requirements with operational activities and project schedules.
• Support Material Requirements Planning (MRP) processes and ensure alignment between forecasted demand and procurement activities.
• Review and improve data quality, reporting accuracy, and information integrity within ERP systems and operational databases.
• Present analytical findings, inventory forecasts, and operational recommendations to management teams and executive stakeholders.

• Bachelor's Degree or above in Statistics, Mathematics, Industrial Engineering, Data Science, Supply Chain Management, Operations Research, Business Analytics, or other quantitative disciplines.
• Minimum 5 years of experience in Demand Planning,…