Data Analyser, Wet Plant – S3

Data Analyser Jobs in Solwezi: Join First Quantum Minerals

First Quantum Minerals invites applications for the position of Data Analyser, Wet Plant – S3, based in Solwezi, NorthWestern Province, Zambia. We are seeking a skilled professional to join our team in one of the most dynamic data analyser jobs in Solwezi. This role offers the opportunity to leverage advanced data analytics to optimize metallurgical processes and contribute to operational excellence.

About First Quantum Minerals

At First Quantum, we empower our people through a unique culture known as the “First Quantum Way.” We value bold, independent thinkers who challenge convention to deliver outstanding results. Our commitment to innovation and excellence enables us to achieve extraordinary outcomes in exceptional locations.

Role Overview: Data Analyser Jobs in Solwezi

Reporting to the Senior Project Engineer, the Data Analyser will collaborate closely with business and operational leaders to drive impact through data-driven insights. The successful candidate will apply statistical, algorithmic, and visualization techniques to model complex metallurgical processes and support strategic decision-making.

Key Responsibilities

• Develop a comprehensive understanding of metallurgical processes and plant operations, prioritizing safety and efficiency.
• Monitor and analyze plant performance data to enhance recovery rates, throughput, concentrate quality, and overall operational efficiency.
• Identify bottlenecks and performance losses through detailed data analysis and metallurgical investigations.
• Provide technical support and recommendations to Operations and Maintenance teams to improve plant reliability and performance.
• Maintain and enhance metallurgical databases, dashboards, and performance reports.
• Conduct process modeling, statistical analyses, and data-driven investigations to support both operational and strategic objectives.
• Perform metallurgical test work and large-scale data evaluations to uncover relationships between process variables.
• Develop and update mass balances, process flow diagrams (PFDs), and instrumentation diagrams (P&IDs).
• Utilize machine learning, statistical, and visualization tools to drive continuous process improvements.
• Create and maintain real-time process monitoring dashboards and reporting solutions.
• Ensure data integrity and compliance with company standards.
• Support the deployment and refinement of predictive analytical models.
• Communicate findings and recommendations effectively to stakeholders through reports and presentations.
• Assist with metallurgical accounting and provide support as needed.
• Lead and contribute to process improvement projects, meeting milestones and operational goals.
• Promote a culture of data-driven decision-making across teams.

Qualifications and Experience

• Bachelor’s degree in Metallurgy, Mineral Processing, or a related field.
• Additional qualifications in Data Science, Process Control, Computer Science, Statistics, or analytical disciplines are advantageous.
• Certifications or training in Machine Learning, Artificial Intelligence, Data Analytics, or Process Optimization are preferred.
• All qualifications must be certified by the Zambia Qualifications Authority (ZAQA).
• At least 5 years of experience in a large-scale mineral processing plant, including crushing, grinding, flotation, thickening, and metallurgical accounting.
• Minimum 2 years of experience applying data analytics and visualization techniques to support operational improvements.
• Proficiency with programming and data analysis tools such as Python, SQL, Power BI, or similar platforms.
• Strong knowledge of statistical methods including regression, multivariate analysis, process control, machine learning, and predictive analytics.
• Experience developing dashboards and production reporting systems.
• Familiarity with process simulation software (e.g., JKSimMet, MetSIM) and process data management platforms (SCADA, PI System) is a plus.
• Excellent analytical, problem-solving, and communication skills with the ability to translate data insights into operational improvements.

Behavioural and Operational Requirements

• Strong teamwork and collaboration skills.
• Commitment to safety awareness and compliance.
• Bold and driven with a proactive work ethic.
• Reliable attendance and ability to work under pressure.
• Computer literacy and proficiency with relevant software tools.
• Willingness to undertake standby and shift duties.
• Capability to work at heights, in confined spaces, and handle corrosive or toxic substances safely.
• Ability to operate mobile and moving equipment responsibly.

How to Apply

Interested candidates are encouraged to apply online via the First Quantum Minerals career portal. Please submit your application before the closing date on 12 November 2026.

Apply for the Data Analyser position here.

How to Apply

Apply using the following link: https://firstquantum.wd3.myworkdayjobs.com/en-US/First_Quantum_Careers/job/Solwezi/Data-Analyser--Wet-Plant---S3_JR18248