Remote Exploration Data Analyst — Drive Mineral Discovery

Placements24; Rustenburg; Hybrid; ZAR 600.000 - 1.000.000; Vollzeit

Benefits dieser Stelle

Flexible hours

Remote work setup

Professional development budget

Zusammenfassung

Placements24 is seeking a Remote Exploration Data Analyst to join a forward-thinking geological team, supporting operations in the North West province from a fully remote setting. The role centers on turning raw exploration data into actionable geological insights that drive strategic decisions for mineral exploration.

You will process, visualize, and interpret large datasets using Python, R, SQL and GIS tools (ArcGIS/QGIS), identify trends and anomalies, and collaborate remotely with geologists

Qualifikationen

• Bachelor's degree in a quantitative field (data science, geology, geophysics).
• Proven data analyst experience, preferably in mining or exploration.
• Proficient in Python, R, SQL and data visualization.
• Experience with GIS and geological modeling is a plus.
• Strong communication for remote collaboration.

Aufgaben

• Collect and manage large geological, geochemical, and geophysical datasets.
• Develop workflows for data processing and interpretation.
• Create data visualizations, maps, and reports for teams.
• Identify trends and anomalies for mineral exploration based on data analysis.
• Collaborate remotely with geologists and stakeholders to support targeting.
• Stay updated on new analytics technologies and methodologies.

Kenntnisse

Python

Pandas

Matplotlib

R

SQL

ArcGIS

QGIS

Geological modeling

Communication

Ausbildung

Bachelor's degree in Data Science

Bachelor's degree in Geology

Bachelor's degree in Geophysics

Tools

ArcGIS

QGIS

Geological modeling software

Jobbeschreibung

Placements24 is seeking a Remote Exploration Data Analyst to join a forward-thinking geological team, supporting operations in the North West province from a fully remote setting. The role centers on turning raw exploration data into actionable geological insights that drive strategic decisions for mineral exploration.

You will process, visualize, and interpret large datasets using Python, R, SQL and GIS tools (ArcGIS/QGIS), identify trends and anomalies, and collaborate remotely with geologists