Data Cruncher and Inventory Demand Forecaster

MatchaTalent; Jakarta Pusat; On-site; IDR 150,000,000 - 350,000,000; Full time

Job summary

MatchaTalent in Jakarta Selatan, Indonesia, seeks a Data Cruncher & Inventory Demand Forecaster to develop predictive inventory models and forecasting frameworks for diverse operations.

You will transform large datasets into actionable insights, collaborating with operations, procurement, and warehouse teams to optimize working capital through inventory optimization and MRP alignment.

Qualifications

• Bachelor's degree or higher in a quantitative field.
• Minimum 5 years of experience in Demand Planning, Inventory Planning, or related analytics.
• Experience in asset-intensive industries such as mining, manufacturing, or logistics.
• Strong understanding of MRP, forecasting methodologies, and inventory optimization.
• Advanced Excel skills with complex formulas, pivot tables, and data modeling.
• Experience with ERP systems (SAP, Oracle, MS Dynamics).
• Proficiency in Power BI, Tableau, SQL, Python, or R.
• Strong analytical thinking, problem-solving, and stakeholder communication.

Responsibilities

• Collect and analyze large data sets from multiple units and sites.
• Develop and maintain demand forecasting models for critical inventory categories.
• Monitor inventory performance, lead times, stock movements, and warehouse utilization.
• Calculate safety stock, reorder points, EOQ, and optimization parameters.
• Design dashboards and reports to monitor inventory health and risks.
• Identify inefficiencies and opportunities to optimize working capital.
• Collaborate with procurement, warehouse, logistics, and management teams.
• Support MRP processes and align forecast with procurement.
• Review and improve data quality and reporting in ERP systems.
• Present analytical findings and recommendations to management.

Skills

Demand forecasting

Inventory management

Data analysis

SQL

Power BI

Excel advanced

ERP systems

Tableau

Stakeholder communication

Problem solving

Education

Bachelor's degree

Tools

Power BI

Tableau

ERP systems (SAP/Oracle/MS Dynamics)

Job description

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.

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.

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.

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.

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, including complex formulas, pivot tables, data modeling, scenario analysis, and large dataset management.
• Experience utilizing ERP systems such as SAP, Oracle, Microsoft Dynamics, or similar enterprise platforms.
• Practical experience with Power BI, Tableau, SQL, Python, R, or other business intelligence and analytical tools is highly preferred.
• Strong analytical thinking, problem-solving capability, attention to detail, and ability to translate data into actionable business recommendations.
• Excellent communication, stakeholder management, and presentation skills with the ability to interact effectively with both operational and executive-level stakeholders.
• Highly adaptable, resilient, and capable of operating effectively within fast-paced, multi-industry business environments.
• Willingness to travel regularly to operational sites, warehouses, and project locations as required.
• Professional fluency in English, both written and spoken, is required for reporting, analysis, and coordination with internal and external stakeholders.

Job Code: #733