Data Cruncher and Inventory Demand Forecaster

MatchaTalent; Tangerang; On-site; IDR 360,000,000 - 600,000,000; Full time

Job summary

MatchaTalent is seeking a Data Cruncher & Inventory Demand Forecaster for a Jakarta Selatan-based role. You will develop predictive inventory models, forecasting frameworks, and operational analytics to optimize supply chain across multiple subsidiaries.

You will collaborate with operations, procurement, warehousing, and management teams to translate data into actionable recommendations and present insights to executives. Fluent English required.

Qualifications

• Bachelor-level or higher in a quantitative field.
• Minimum 5 years in Demand/Inventory planning or analytics.
• Experience in asset-intensive sectors is a plus.

Responsibilities

• Collect and analyze large operational datasets from multiple sites.
• Develop demand forecasting models for inventory categories.
• Monitor stock, lead times, EOQ, and safety stock levels.
• Design dashboards and reports for visibility into inventory health.
• Collaborate with procurement, warehouse, and logistics teams.
• Support MRP processes and forecast-driven procurement decisions.
• Present findings and recommendations to management.

Skills

Analytical thinking

Problem-solving

Stakeholder management

Presentation skills

Communication

Travel willingness

Education

Bachelor's Degree or above in Statistics, Mathematics, Industrial Engineering, Data Science, Supply Chain Management, Operations Research, Business Analytics, or other quantitative disciplines

Tools

SAP

Oracle

Microsoft Dynamics

Power BI

Tableau

SQL

Python

R

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