As a global and diversified mining business, we use the latest technologies to find new resources, plan and build our mines and mine, process, move and market our products to customers around the world.
For almost 100 years, we have been mining the minerals that society needs to develop and prosper. We provide our investors with a balanced portfolio of oppo...
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Design and Delivery of BI Solutions: Develop, deploy, and maintain BI interfaces, including query tools, data visualization, interactive dashboards, ad hoc reporting, and data modeling tools.
Data Analysis and Reporting: Perform detailed analysis of business data to identify trends, patterns, and insights. Present findings to internal and external stakeholders using various tools, facilitating data-driven decision-making.
Business Requirements Gathering: Collaborate with line management to understand data and data analysis needs. Translate business requirements into technical specifications, wireframes, or mock-ups, and develop and deliver BI reports and dashboards.
Data Quality and Integrity: Ensure data accuracy and consistency through regular validation and cleanup processes.
Data Integration and Transformation: Design and implement robust ETL processes to integrate data from various sources, ensuring accuracy, completeness, and consistency.
Data Cleansing: Apply techniques to clean and validate data, ensuring high-quality information for analysis and reporting.
Performance Optimization: Monitor, troubleshoot, and optimize ETL processes and queries for maximum efficiency and performance.
Collaboration and Support: Work closely with BI architects, data analysts, and business stakeholders to understand data requirements and deliver the necessary data infrastructure.
Documentation and Compliance: Create comprehensive documentation for ETL processes and ensure.
Qualifications:
Degree in a relevant discipline (e.g. data science).
Technical Knowledge:
Data Visualization:Proficiency in tools like SAC, Power BI, or similar for creating dashboards and reports.
Data Analysis and Query Languages:Strong skills in SQL and familiarity with Python for statistical programming.
Data Modeling:Experience with data modeling principles to support high-quality data sources for BI.
ETL Processes:Experience with ETL processes and tools for data integration and cleansing.
Data Management:Strong understanding of database management systems, OLAP, and ETL frameworks.
Business Acumen:Understanding of business operations and objectives to align BI solutions with company goals.
ETL Tools Expertise:Proficiency with ETL tools.
Database Management:Extensive knowledge of SQL and experience with relational (e.g., SQL) and NoSQL databases.
Programming Skills:Familiarity with Python scripting and automation of ETL processes.
Performance Tuning:Skills in optimizing ETL processes and SQL queries for better performance.
Data Quality Management: Knowledge of data profiling, cleansing, and quality improvement techniques.
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