Description
Job Summary:
A professional who will contribute to improving metallurgical performance by integrating operational knowledge with data analysis for predictive management.
Key Highlights:
1. Optimization of metallurgical processes through statistical analysis.
2. Use of digital tools and predictive analytics in operations.
3. Collaboration for continuous improvement in plant circuits.
**Requirements**
* Metallurgical Engineer, Chemical Engineer, Process Engineer, or related degree.
* Minimum 2 years of experience in copper and/or polymetallic concentrator plants.
* Experience in flotation circuits (rougher, scavenger, cleaner).
* Knowledge of critical process variables: particle size distribution, pH, pulp density, and reagent dosage.
* Intermediate to advanced Excel skills (pivot tables, Power Query, basic macros).
* Proficiency in Power BI for data analysis and visualization.
* Basic or intermediate knowledge of data analytics or machine learning applied to metallurgical processes.
* SAP user-level proficiency (queries, production recording, work orders).
Main Responsibilities
* Analyze operational flotation process data to identify deviations and improvement opportunities.
* Prepare technical reports and dashboards to monitor plant performance.
* Track metallurgical KPIs such as recovery, concentrate grade, reagent consumption, and energy usage.
* Support metallurgical process optimization using statistical analysis and digital tools.
* Coordinate with operations and maintenance teams for continuous improvement of plant circuits.
* Participate in digitalization and predictive analytics initiatives applied to operations.
**Job Objective**
Contribute to improved metallurgical performance by integrating plant operational knowledge with data analytics tools, facilitating decision-making and promoting predictive process management.
Work Location: On-site employment