Remote Data Analyst - Mining Insights
Veröffentlicht am
- Arbeitsort
- Bloemfontein, Deutschland
- Gehaltsschätzung
- 45.000–65.000 € brutto/Jahr · KI-Schätzung von Salary Quick anhand von Jobtitel und Ort (Stand 2026-09-28). Arbeitszeit und individuelle Konditionen können den Betrag verändern. Keine Gehaltszusage.
Stellenbeschreibung
About the Role
Our client is actively seeking a skilled Data Analyst to join their newly formed, fully remote team, supporting their diverse mining operations across South Africa. In this role, you will transform vast datasets from exploration, production, and financial activities into actionable insights that drive strategic decision-making. You will work independently and collaboratively with stakeholders across different departments, leveraging advanced analytical tools to uncover trends, identify efficiencies, and forecast outcomes. This position is perfect for a self-motivated analyst who thrives in a virtual environment and is passionate about applying data science to the mining industry's unique challenges.
Key Responsibilities
- Collect, clean, and analyze large datasets from various mining operations (e.g., geological, production, safety).
- Develop dashboards and reports to visualize key trends, performance metrics, and operational insights using tools like Power BI or Tableau.
- Identify patterns, anomalies, and opportunities for process improvement and cost reduction through data analysis.
- Collaborate with geologists, engineers, and management teams to understand their data needs and provide analytical support.
- Develop predictive models to forecast production, costs, and resource availability.
- Document methodologies, findings, and recommendations clearly and concisely.
Requirements
- Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
- 3+ years of experience as a Data Analyst, preferably within the mining or resource sector.
- Proficiency in SQL for data extraction and manipulation.
- Advanced skills in data visualization tools (e.g., Power BI, Tableau) and spreadsheet software (Excel).
- Experience with statistical analysis and programming languages (e.g., Python, R) is a strong asset.
- Excellent communication and presentation skills, with the ability to explain complex data to non-technical audiences.
Benefits
- Competitive salary with performance-based bonuses.
- Fully remote work arrangement with flexible hours.
- Company-provided laptop and home office stipend.
- Opportunities for online professional development and certifications.
- Engaging virtual team environment with regular online collaboration.