Lead the design, development, and implementation of data analytics frameworks tailored for mining consultancy projects, focusing on predictive analytics, data visualization, and optimization techniques.
Collaborate with geologists, mining engineers, IT teams, and business stakeholders to identify key data sources, analytics requirements, and performance metrics that align with business objectives.
Conduct in-depth exploratory data analysis to uncover trends, anomalies, and opportunities that can enhance mining operations, safety, and cost efficiency.
Develop and maintain advanced statistical models, machine learning algorithms, and simulation tools to forecast mining yields, optimize resource allocation, and improve operational planning.
Drive continuous improvement initiatives by integrating new data sources, refining analytical models, and adopting emerging technologies such as AI and IoT relevant to mining analytics.
Oversee the preparation and presentation of data-driven reports, dashboards, and visualizations to senior management and clients, ensuring clarity, actionable insights, and strategic alignment.
Ensure data governance, compliance, and quality standards are rigorously maintained throughout analytics processes, emphasizing data security and ethical considerations.
Work closely with IT and software development teams to implement and optimize data infrastructure, including databases, data lakes, and analytics platforms tailored to mining MTCS needs.
Act as a key liaison between technical teams and business units to translate complex data insights into clear, actionable business strategies and consulting deliverables.
Support the business development team by providing analytics expertise in proposals, client engagements, and solution demonstrations to highlight technical capabilities and consultancy excellence.
Stay abreast of industry trends, emerging mining technologies, and data analytics advancements to continually enhance the department's capabilities and service offerings.
Qualifications
Bachelor's degree in Data Science/Computer Science/Mining Engineering/Statistics, Mathematics, or a related field.
Minimum 5 years of experience in data analytics, preferably within the Mining industry
Proficiency in data analytics software and programming languages such as Python, R, SQL.
Expertise in statistical analysis, machine learning, predictive modeling, and data mining.
Experience with data visualization tools like Tableau, Power BI, or similar.
Familiarity with big data technologies and cloud-based analytics platforms.
Knowledge of mining industry datasets, geospatial data analysis, and relevant software (e.g., GIS tools).
Advanced proficiency in statistical modeling and machine learning algorithms.
