Deputy Manager - Data Analytics

Deputy Manager - Data Analytics

• 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.  

• 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. 

Experience Level

Mid Level