Data Analyst, Wet Plant - S3

About the role

First Quantum is hiring a Data Analyst for its wet plant in Solwezi, reporting to the Senior Project Engineer. The analyst works with business and operational leaders to turn data and analytical tools into actionable insights, using statistical, algorithmic, mining and visualization techniques to model complex process problems and support decision-making.

Key responsibilities

• Monitor, analyze and optimize plant performance data to improve recovery, throughput, concentrate quality and efficiency.
• Identify bottlenecks and improvement opportunities through data analysis and metallurgical investigations.
• Support Operations and Maintenance teams with technical advice and recommendations.
• Maintain metallurgical databases, process reports, dashboards and performance statistics.
• Perform process modelling, statistical analysis, mass balances, PFDs and P&IDs, and metallurgical test work.
• Build and maintain online process monitoring dashboards and reporting tools, and support the deployment of analytical and predictive models.
• Communicate findings and recommendations to stakeholders and support metallurgical accounting and process improvement projects.

Required profile

• Bachelor's degree in Metallurgy or Mineral Processing; data science, computer science, statistics or process control is an added advantage.
• Training or certification in machine learning, AI, data analytics or process optimisation is advantageous.
• All qualifications must be certified by the Zambia Qualifications Authority (ZAQA).
• Minimum 5 years in a large-scale mineral processing plant, covering crushing, grinding, flotation, thickening and metallurgical accounting.
• Minimum 2 years applying data analytics, statistical analysis and visualization to operational decisions.
• Strong analytical, problem-solving and technical communication skills; teamwork, safety awareness, boldness, good attendance and ability to work under pressure.

Required skills

• Data analysis and programming tools such as Python, SQL, Power BI or similar.
• Statistical techniques including regression, multivariate analysis, process control monitoring, machine learning and predictive analytics.
• Process modelling, mass balancing and metallurgical performance analysis.
• Advantageous: JKSimMet, MetSIM, plant historians, SCADA, PI System and control systems.

Operational requirements include computer literacy, standby and shift duties, working at heights, confined spaces and handling corrosive and toxic substances. Applications are made through the company's careers site or internally via Workday for existing employees.