Data Analyser, Wet Plant – S3

At First Quantum, we free the talent of our people by taking a very different approach which is underpinned by a very different, very definite culture – the “First Quantum Way”.

Working with us is not like working anywhere else, which is why we recruit people who will take a bolder, smarter approach to spot opportunities, solve problems and deliver results.

Our culture is all about encouraging you to think independently and to challenge convention to deliver the best result. That’s how we continue to achieve extraordinary things in extraordinary locations.

Job description:

Purpose

Reporting to the Snr Project Engineer, the Data Analyst will collaborate with business and operational leaders to provide an impact by leveraging data and analytical tools, strategic thinking, and hypothesis-based analysis. The data analyser will be responsible for continuous register data modelling complex process problems through statistical, algorithmic, mining, and visualization techniques. Further, they will support senior leadership by creating business insights, reports, and analyses to aid in the decision-making process

Key Responsibilities

• Develop a thorough understanding of metallurgical processes and processing plant operations, ensuring safe and effective practices.

• Monitor, analyze, and optimize plant performance data to improve recovery, throughput, concentrate quality, and operational efficiency.

• Identify process bottlenecks, performance losses, and improvement opportunities through data analysis and metallurgical investigations.

• Provide technical support and recommendations to Operations and Maintenance teams to enhance plant performance and reliability.

• Develop, maintain, and improve metallurgical databases, process reports, dashboards, and performance statistics.

• Conduct process modelling, statistical analysis, and data-driven investigations to support operational and strategic decision-making.

• Perform metallurgical test work, process evaluations, and large-scale data analysis to identify relationships between process variables.

• Develop and maintain mass balances, process flow diagrams (PFDs), and process and instrumentation diagrams (P&IDs).

• Apply statistical, visualization, and machine learning tools to enhance process understanding and support continuous improvement initiatives.

• Generate and maintain online process monitoring dashboards and reporting tools.

• Ensure data quality, integrity, and compliance with company standards and best practices.

• Support the deployment, monitoring, and continuous improvement of analytical and predictive models.

• Communicate technical findings, recommendations, and process improvement opportunities to stakeholders through reports and presentations.

• Support metallurgical accounting activities and provide ad hoc cover when required.

• Lead and support process improvement and optimization projects while meeting project milestones and operational targets.