Senior Data Analyst - Mining Technical Services

About the role

The Senior Data Analyst - Mining Technical Services develops advanced analytics, predictive models, optimization solutions and data-driven insights that improve operational performance across mining technical disciplines. The role partners with Technical Services teams such as Mine Planning, Geology, Resource Modelling, Grade Control, Geotechnics, Hydrogeology, Drill & Blast and Survey, and bridges Technical Services and Data & Insights so that analytical solutions are scalable, governed and aligned with enterprise data standards.

Key responsibilities

• Design, develop and deploy advanced analytical models and predictive models for operational performance, resource estimation, equipment productivity and planning accuracy.
• Build reusable analytics products, decision-support tools and scalable workflows using Python, SQL, Snowflake and cloud platforms.
• Automate data processing, model execution and insight generation, and integrate structured and unstructured mining data sources.
• Develop scenarios and optimization models for mine planning, pit optimization, production forecasting, resource modelling, grade control, drill & blast performance and cost optimization.
• Explore AI solutions, including generative AI, machine learning, anomaly detection, forecasting and predictive maintenance.
• Work with Data Engineers and IT to operationalize analytical solutions, and support enterprise AI governance.
• Create executive dashboards and analytical products in Power BI, present insights to leadership and stakeholders, and support strategic planning with scenario analysis and forecasting.
• Promote data quality standards, define business rules, metadata and documentation, and contribute to enterprise data governance.
• Act as the primary analytics advisor to Technical Services leadership, mentor junior analysts and foster data-driven decision making.

Required profile

• Master's degree in Data Science, Statistics, Computer Science, Applied Mathematics, Data Engineering, Operations Research or Mining Engineering with strong analytics specialization.
• 7 to 10 years of experience in data science, advanced analytics or industrial analytics.
• Demonstrated delivery of business value through predictive analytics and machine learning solutions.
• Mining, geological or industrial experience strongly preferred; experience in mining, natural resources, engineering, manufacturing or heavy industry highly desirable.
• Experience in both business and technical environments.

Required skills

• Advanced statistical modelling, machine learning, time series forecasting, optimization and feature engineering.
• Python (advanced), SQL (advanced), Snowflake, Git, APIs and data integration.
• Advanced Power BI, DAX, Power Query and data storytelling.
• Snowflake, Azure Data Platform and Databricks (advantageous); MLOps concepts and enterprise data architectures.