PURPOSE & OBJECTIVE
The Data Analyst - Mining Technical Services is responsible for supporting the Technical Services department in collecting, structuring, and analysing operational data to improve decision-making and performance monitoring.
The role will focus on building reliable datasets and Power BI reporting, ensuring data is consistent, accurate, and aligned with enterprise data standards.
This position plays a key role in bridging technical mining operations and the Data & Insights function, enabling scalable analytics while embedding data-driven practices into daily workflows.
KEY ACCOUNTABILITIES
Data Collection & Structuring
- Collect and consolidate data from multiple sources (Excel, field data, operational systems) ;
- Clean, validate, and structure datasets for analysis and reporting ;
- Ensure consistency of data definitions and alignment with enterprise standards.
Data Modelling & Transformation
- Design and maintain data models to support Technical Services reporting ;
- Develop transformation logic using Power Query (M) and Excel ;
- Ensure datasets are scalable, reusable, and analytics ready.
Reporting & Visualisation (Power BI)
- Develop and maintain Power BI dashboards for Technical Services (performance, KPIs, operational tracking) ;
- Ensure reports are accurate, user-friendly, and aligned with business needs ;
- Implement best practices in data visualisation and report performance.
Data Quality & Governance Alignment
- Apply data quality checks and validation rules ;
- Work with Data & Insights team to align with data governance standards, naming conventions, and documentation ;
- Contribute to improving data reliability and traceability.
Stakeholder Collaboration
- Work closely with Technical Services teams to understand business needs ;
- Translate operational requirements into data and reporting solutions ;
- Act as a liaison between Technical Services and Data & Insights.
SKILLS, KNOWLEDGE & EXPERIENCE
Education:
- Master’s degree in Computer Science, Data Engineering, Information Systems, 2-3 years of experience or a related technical field.
- Exposure to geoscience or mining domain is highly desirable.
Technical Skills
- Strong experience in Power BI (data modelling, DAX, dashboard design).
- Strong proficiency in Excel (advanced) and Power Query.
- Solid understanding of data modelling concepts (tables, relationships, measures).
- Experience with SQL and data platforms (Snowflake is a plus).
- Ability to work with multiple data sources and integrate datasets.
Data & Analytics
- Strong understanding of data quality, data transformation, and reporting logic.
- Ability to structure raw operational data into actionable insights.
- Experience working with operational or industrial data is a plus.
Business & Soft Skills
- Ability to understand technical/mining operations context.
- Strong stakeholder engagement and communication skills.
- Structured, detail-oriented, and problem-solving mindset.
- Ability to work in a dual reporting environment (Business + Data function).
Key Success Factors
- Reliable and consistent Power BI reporting used by Technical Services.
- Improved data quality and standardisation of operational datasets.
- Strong collaboration between Technical Services and Data & Insights.
- Ability to progressively transition from manual reporting to structured data products.
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