Remote Exploration Data Analyst — Drive Mineral Discovery

Placements24

Rustenburg

Hybrid

ZAR 600,000 - 1,000,000

Full time

4 days ago
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Benefits offered by this job

Flexible hours
Remote work setup
Professional development budget

Job summary

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

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Python
Pandas
Matplotlib
R
SQL
ArcGIS
QGIS
Geological modeling
Communication

Education

Bachelor's degree in Data Science
Bachelor's degree in Geology
Bachelor's degree in Geophysics

Tools

ArcGIS
QGIS
Geological modeling software

Job description

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

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