Data Cruncher and Inventory Demand Forecaster (Mining Contractor)

PT Talenta Eksekutif Asia; Jakarta Pusat; On-site; IDR 240,000,000 - 420,000,000; Full time

Job summary

PT Talenta Eksekutif Asia seeks a Data Cruncher & Inventory Demand Forecaster to turn operational, maintenance, warehouse, and procurement data into actionable inventory insights across mining and heavy equipment operations.

You will develop models to forecast demand for spare parts, consumables, fuel, and other critical materials, and work with procurement, warehouse, and maintenance teams to align forecasts with equipment schedules.

Qualifications

• 5+ years in Inventory Planning, Demand Forecasting, or related analytics.
• Experience with mining, heavy equipment, or asset-intensive supply chains.
• Strong understanding of forecasting methods and material planning processes.
• Proven ability to translate data into actionable business insights.

Responsibilities

• Collect and analyze data from multiple sites and warehouses.
• Develop inventory forecasting models for spare parts, consumables, fuel, and materials.
• Monitor stock movements and EOQ, safety stock, and reorder points.
• Collaborate with procurement, warehouse, maintenance, and logistics teams.
• Create dashboards and reports to support management decisions.

Skills

Inventory planning

Forecasting

Data analysis

Stakeholder management

Communication

Education

Bachelor's degree in a quantitative field

Tools

SAP

Oracle

MS Dynamics

Power BI

Tableau

SQL

Python

Excel

Job description

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

Client Overview

Our client is a publicly listed mining services and infrastructure support organization operating across Indonesia's mineral and natural resources sectors. The company provides integrated mining solutions covering mine planning, mining operations, logistics management, infrastructure development, production support, and mine rehabilitation services. Supporting large-scale mining projects across multiple operational regions, the organization relies heavily on operational efficiency, equipment availability, and effective supply chain management to maintain productivity and project profitability.

As part of its continued expansion and operational optimization initiatives, the company is strengthening its data-driven supply chain capabilities to improve inventory accuracy, demand forecasting, asset utilization, and procurement planning. The organization offers a dynamic environment for analytical professionals who are passionate about leveraging operational data to support critical business decisions, optimize inventory investments, and improve the reliability of heavy equipment operations across geographically dispersed mining sites.

Job Role

The Data Cruncher & Inventory Demand Forecaster will be responsible for analyzing operational data, forecasting inventory requirements, and supporting supply chain optimization initiatives across mining and heavy equipment operations. This role focuses on translating large volumes of operational, maintenance, warehouse, and procurement data into actionable insights that improve inventory planning, reduce stock shortages, and support uninterrupted site operations. The successful candidate will work closely with procurement teams, warehouse operations, maintenance planners, logistics personnel, and senior management to develop forecasting models, optimize inventory strategies, and improve material planning processes. This position is highly suitable for analytical professionals with strong experience in inventory planning, demand forecasting, supply chain analytics, or operational data analysis within mining, heavy equipment, logistics, or industrial environments.

Key Responsibilities

• Collect, consolidate, validate, and analyze operational, inventory, maintenance, and procurement data from multiple project sites and warehouses.
• Develop inventory forecasting models to predict demand for spare parts, consumables, fuel, lubricants, and other critical operational materials.
• Monitor inventory performance, stock movements, consumption trends, and replenishment requirements to support continuous operational readiness.
• Calculate and maintain optimal inventory parameters, including safety stock levels, reorder points, inventory turnover targets, and economic order quantities (EOQ).
• Analyze equipment maintenance records, component lifecycles, failure trends, and replacement patterns to improve inventory planning accuracy.
• Identify slow-moving inventory, excess stock, obsolete materials, and cost-saving opportunities across warehouse operations.
• Create dashboards, reports, and analytical presentations to support management decision-making and operational planning.
• Collaborate with procurement, warehouse, logistics, and maintenance teams to align inventory forecasts with operational requirements and maintenance schedules.
• Support Material Requirements Planning (MRP) processes by ensuring accurate demand projections and inventory planning assumptions.
• Review and validate data accuracy within ERP systems, inventory databases, and operational reporting platforms.
• Monitor supply chain risks, supplier lead times, logistics constraints, and operational variables that may impact inventory availability and business continuity.
• Provide recommendations to improve inventory efficiency, working capital utilization, procurement planning, and overall supply chain performance.

Requirements

• Bachelor's Degree or above in Statistics, Mathematics, Industrial Engineering, Supply Chain Management, Data Science, Operations Research, Economics, or other quantitative disciplines.
• Minimum 5 years of experience in Inventory Planning, Demand Forecasting, Supply Chain Analytics, Data Analysis, Materials Planning, or related functions.
• Proven experience within Mining Contractors, Heavy Equipment, Mining Operations, Automotive Supply Chains, Industrial Manufacturing, Logistics, or other asset-intensive industries.
• Strong understanding of inventory management principles, forecasting methodologies, material planning processes, and supply chain optimization techniques.
• Experience managing spare parts planning, equipment-related inventory, fuel consumption analysis, maintenance planning data, or asset-based supply chain operations.
• Advanced proficiency in Microsoft Excel, including complex formulas, Pivot Tables, Power Query, data modeling, and analytical reporting.
• Experience using ERP systems such as SAP, Oracle, Microsoft Dynamics, or other enterprise supply chain platforms.
• Practical experience with Power BI, Tableau, SQL, Python, or other data visualization and analytics tools is highly preferred.
• Strong analytical thinking, problem-solving capability, attention to detail, and ability to interpret large datasets accurately.
• Excellent communication and stakeholder management skills with the ability to present complex analytical findings to both operational and executive audiences.
• Willingness to travel regularly to project sites, warehouses, and operational locations when required.
• Professional fluency in English, both written and spoken, for reporting, analysis presentation, and communication with international stakeholders and suppliers.

Job Code: #729