Demand & Supply Planning

Häfele Indonesia; Tangerang; On-site; IDR 180,000,000 - 300,000,000; Full time

Job summary

Häfele Indonesia is seeking a Data Cruncher and Inventory Demand Forecaster to develop predictive inventory models and forecasting frameworks across the holding group's operations. The role focuses on translating large datasets into actionable insights to improve availability, reduce excess stock, and optimize working capital.

The candidate will build modeling frameworks, design dashboards, and collaborate with procurement, warehousing, and project teams to align forecasted demand with

Qualifications

• Bachelor's degree or higher in a quantitative field.
• Minimum 5 years in demand planning, inventory planning, or related analytics.
• Experience in asset-intensive industries such as mining, manufacturing, or industrial distribution is preferred.
• Strong proficiency in Excel and data analysis tools.

Responsibilities

• Collect and clean large operational datasets from multiple units and sites.
• Develop and maintain inventory demand forecasting models for critical items.
• Monitor stock movements, lead times, and warehouse utilization to improve planning accuracy.
• Calculate safety stock, reorder points, and EOQ to optimize working capital.
• Design dashboards and reports to track inventory health and risks.
• Collaborate with procurement, warehousing, and logistics to align forecasts with procurement.

Skills

Demand forecasting

Inventory management

Data analysis

Supply chain analytics

Education

Bachelor's degree or higher in quantitative field

Tools

Excel

ERP systems

Job description

Data Cruncher and Inventory Demand Forecaster (Holding Company)

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

Client Overview

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.

Job Role

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.

Key Responsibilities

• 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.

Requirements

• 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, Inventory Planning, Supply Chain Analytics, Operations Analytics, Data Analysis, or related analytical functions.
• Proven experience within mining contractors, heavy equipment industries, automotive supply chains, industrial distribution, manufacturing, agriculture, logistics, or other asset-intensive sectors.
• Strong understanding of inventory management principles, forecasting methodologies, Material Requirements Planning (MRP), supply chain optimization, and operational analytics.
• Advanced proficiency in Microsoft Excel,