Remote Mining Data Insights Analyst

Placements24; Vereeniging; Hybrid; ZAR 500,000 - 800,000; Full time

Benefits offered by this job

Competitive salary

Fully remote

Generous paid time off

Home office stipend

Collaborative team environment

Job summary

Placements24 seeks a remote Mining Data Analyst to join a globally distributed team supporting sites near Vereeniging and beyond. You will transform raw mining data into insights that boost safety, efficiency and resource optimization.

You will work with large datasets across exploration, production and processing, build statistical models, create visual reports, and present findings to stakeholders in a remote-friendly environment.

Qualifications

• Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, Mining Engineering, CS).
• Minimum of 4 years of data analysis experience in mining or resources.
• Proficiency with Python (Pandas, NumPy), R, SQL.
• Experience with Tableau, Power BI, or similar visualization tools.
• Strong statistical modeling knowledge and ML concepts applied to mining.
• Excellent remote communication and collaboration skills.

Responsibilities

• Collect, clean, and organize large volumes of mining data from diverse sources.
• Develop statistical models and data mining methods to uncover insights.
• Create data visualizations and reports for technical and non-technical audiences.
• Collaborate with site teams to understand data needs and provide analysis support.
• Monitor KPIs across mining operations and identify opportunities for improvement.
• Stay updated on trends and technologies in data analytics for mining.

Skills

Python

R

SQL

Data visualization

Education

Bachelor's degree in Data Science, Statistics, Mining Engineering, Computer Science, or related quantitative field

Tools

Tableau

Power BI

Job description

Placements24 seeks a remote Mining Data Analyst to join a globally distributed team supporting sites near Vereeniging and beyond. You will transform raw mining data into insights that boost safety, efficiency and resource optimization.

You will work with large datasets across exploration, production and processing, build statistical models, create visual reports, and present findings to stakeholders in a remote-friendly environment.