Data Cruncher & Inventory Demand Forecaster

Client Overview

Our client is a leading Indonesian diversified industrial group with business operations spanning mining services, heavy engineering, infrastructure development, and modern agricultural technology. The organization manages large-scale operations across multiple regions in Indonesia, supporting integrated supply chain networks, warehouse operations, heavy equipment fleets, and automated production facilities.

With a strong focus on operational excellence and data-driven decision making, the company continuously invests in predictive analytics, inventory optimization, and supply chain efficiency to support business growth across its industrial ecosystem. Working closely with executive leadership, this role offers the opportunity to contribute to strategic operational planning and high-impact business initiatives in a dynamic, multi-industry environment.

Job Role

The Data Cruncher & Inventory Demand Forecaster is responsible for transforming operational data into actionable business insights that optimize inventory planning, material requirements, and supply chain performance across multiple business operations.

This role combines advanced data analytics with operational planning to forecast demand, improve warehouse efficiency, minimize stock shortages, optimize working capital, and support uninterrupted field operations.

Working closely with Operations, Procurement, Warehouse, Maintenance, and Executive Management, you will develop predictive models, analyze consumption trends, evaluate inventory performance, and provide strategic recommendations that improve business performance across multiple operational sites.

The position requires frequent travel to warehouses, industrial sites, and production facilities to validate operational data, understand field conditions, and ensure forecasting accuracy.

Key Responsibilities

Data Analytics & Business Intelligence

• Collect, clean, validate, and analyze large operational datasets from multiple business units.

• Develop dashboards and management reports to monitor inventory performance, warehouse utilization, asset consumption, and operational KPIs.

• Perform statistical analysis to identify trends, anomalies, and opportunities for operational improvement.

• Present analytical findings and recommendations to senior management and executive leadership.

Inventory Demand Forecasting

• Build and maintain forecasting models for inventory consumption, spare parts, fuel usage, feed materials, agricultural inputs, and other operational consumables.

• Forecast material requirements using historical consumption patterns, operational schedules, maintenance plans, and seasonal demand.

• Establish safety stock levels, reorder points, and Economic Order Quantity (EOQ) to optimize inventory performance.

• Evaluate supplier lead times and logistics constraints to minimize stockout risks across geographically dispersed operations.

Inventory Optimization & Supply Chain Planning

• Analyze inventory turnover, slow-moving stock, excess inventory, and warehouse cost leakage.

• Recommend inventory optimization initiatives that improve working capital utilization while maintaining operational continuity.

• Support procurement teams with data-driven purchasing strategies and supplier planning.

• Monitor inventory variance and recommend corrective actions.

Material Requirements Planning (MRP)

• Collaborate with Warehouse, Maintenance, Engineering, Production, Logistics, and Procurement teams to align inventory forecasts with operational requirements.

• Review and improve MRP parameters and inventory planning methodologies.

• Ensure consistency and accuracy of inventory master data.

ERP & Data Governance

• Extract, validate, and analyze operational data from ERP systems (SAP, Oracle, or equivalent).

• Audit inventory records, warehouse transactions, and planning data to improve reporting accuracy.

• Support continuous improvement initiatives through automation and data standardization.

Cross-functional Collaboration

• Work closely with directors, operational leaders, procurement managers, and external stakeholders.

• Conduct regular site visits to warehouses and operational facilities to validate inventory data and forecasting assumptions.

• Provide analytical support for strategic operational planning across multiple business units.

Candidate Requirements

Education

Bachelor's Degree (S1) in one of the following disciplines:

• Statistics

• Mathematics

• Industrial Engineering

• Data Science

• Supply Chain Management

• Operations Research

• Business Analytics

• Other related quantitative fields

Experience

• Minimum 5 years of experience as a Data Analyst, Inventory Planner, Demand Forecaster, Supply Chain Analyst, Material Planner, Inventory Control Specialist, or similar role.

• Experience in one or more of the following industries is highly preferred:

  • Mining Contractors

  • Heavy Equipment

  • Engineering & Construction

  • Agriculture / Agribusiness

  • Feed Manufacturing

  • FMCG

  • Manufacturing

  • Logistics

  • Warehouse Operations

  • Industrial Supply Chain

Technical Skills

• Strong knowledge of Inventory Management, Demand Forecasting, Material Requirements Planning (MRP), Safety Stock, EOQ, Inventory Optimization, and Supply Chain Analytics.

• Advanced Microsoft Excel (Pivot Tables, Power Query, advanced formulas, Macros).

• Experience with Power BI and/or Tableau.

• Knowledge of SQL and/or Python is an advantage.

• Experience using ERP systems such as SAP, Oracle, Microsoft Dynamics, or equivalent.

Personal Attributes

• Strong analytical thinking and problem-solving skills.

• Excellent attention to detail and data accuracy.

• Able to thrive in a fast-paced, dynamic operational environment.

• Strong communication and presentation skills.

• Comfortable engaging with senior management and cross-functional teams.

• Willing to travel frequently to operational sites across Indonesia.

• Adaptable to multicultural working environments.

• Professional proficiency in English (spoken and written).