Senior Mining Data Analyst

About the Role

Our client seeks a proactive Senior Mining Data Analyst to enhance data-driven decision-making within their Stellenbosch operations. This role supports a hybrid work model, allowing for both remote data analysis and on-site collaboration with geological and operational teams. You will be instrumental in collecting, processing, and analyzing vast amounts of mining data to identify trends, inefficiencies, and opportunities for improvement in exploration, production, and processing.

Your insights will directly influence operational strategies and project viability.

• Collect, clean, and organize diverse mining datasets from various sources (e.g., geological surveys, production logs, sensor data).
• Develop and implement statistical models and machine learning algorithms to analyze mining performance, resource estimates, and operational efficiency.
• Create compelling visualizations, dashboards, and reports to communicate complex findings to technical and non-technical stakeholders.
• Identify key performance indicators (KPIs) and monitor trends to proactively identify risks and opportunities.
• Collaborate with geologists, engineers, and operations managers to understand data needs and provide analytical support.
• Stay current with advancements in data analytics, data science, and their applications within the mining sector.

• Master's degree in Data Science, Statistics, Computer Science, Mining Engineering, or a related quantitative field.
• Minimum of 6 years of experience in data analysis, with a significant portion focused on the mining or natural resources sector.
• Proficiency in programming languages commonly used in data analysis (e.g., Python, R) and SQL.
• Experience with data visualization tools (e.g., Tableau, Power BI) and statistical modeling techniques.
• Strong understanding of mining operations, exploration, or mineral processing concepts.
• Excellent analytical, problem-solving, and communication skills, adept at working in a hybrid environment.

• Competitive salary and annual bonus structure.
• Flexible hybrid work arrangement.
• Comprehensive health and retirement benefits.
• Opportunities for professional growth and training in advanced analytics.
• Collaborative team environment focused on innovation and efficiency.
• Access to cutting-edge data analysis tools and platforms.