Remote Data Analyst - Mining Intelligence

Placements24; Siyancuma Local Municipality; Hybrid; ZAR 420,000 - 660,000; Full time

Benefits offered by this job

Competitive salary

Remote work

Professional development

Cutting-edge tools

Global impact

Job summary

Placements24 is seeking a Remote Data Analyst specializing in Mining Intelligence to transform raw mining data into actionable insights. You will collect, clean, analyze, and interpret large datasets for exploration, production, and efficiency across global operations.

The ideal candidate has a strong quantitative background, data visualization skills, and mining industry experience to drive data-informed decisions from anywhere.

Qualifications

• BSc or MSc in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 4 years of experience in data analysis, with demonstrable experience in the mining industry.
• Proficiency in Python (Pandas, NumPy), R, SQL.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Strong understanding of statistical concepts and machine learning techniques.
• Excellent communication and interpersonal skills for effective remote collaboration.

Responsibilities

• Collect, clean, and validate large datasets from various mining operations and exploration activities.
• Develop and implement data models and statistical analyses to identify trends and patterns.
• Create insightful reports, dashboards, and visualizations to communicate findings to stakeholders.
• Collaborate remotely with geologists, engineers, and operations managers to understand data needs.
• Identify opportunities for process improvements and cost savings through data analysis.
• Maintain data integrity and ensure compliance with data governance policies.

Skills

Python

R

SQL

Tableau

Power BI

Statistics

Machine learning

Data cleaning

Communication

Mining domain

Education

BSc/MSc in quantitative field

Tools

Pandas

NumPy

Tableau

Power BI

Job description

About the Role

Our client is seeking an analytical and proficient Remote Data Analyst specializing in Mining Intelligence to support their global operations, with a focus on projects in the Upington area. This is a fully remote position where you will transform raw mining data into actionable insights. You will be responsible for collecting, cleaning, analyzing, and interpreting large datasets related to exploration, production, and operational efficiency. The ideal candidate has a strong quantitative background, excellent data visualization skills, and experience within the mining or resources sector, driving data-informed decision-making from anywhere.

Key Responsibilities

• Collect, clean, and validate large datasets from various mining operations and exploration activities.
• Develop and implement data models and statistical analyses to identify trends and patterns.
• Create insightful reports, dashboards, and visualizations to communicate findings to stakeholders.
• Collaborate remotely with geologists, engineers, and operations managers to understand data needs.
• Identify opportunities for process improvements and cost savings through data analysis.
• Maintain data integrity and ensure compliance with data governance policies.

Requirements

• BSc or MSc in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 4 years of experience in data analysis, with demonstrable experience in the mining industry.
• Proficiency in data analysis tools and languages such as Python (Pandas, NumPy), R, SQL.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Strong understanding of statistical concepts and machine learning techniques.
• Excellent communication and interpersonal skills for effective remote collaboration.

Benefits

• Competitive salary package with performance-based incentives.
• Fully remote work arrangement offering excellent work-life balance.
• Opportunity to work with cutting-edge data analytics tools and technologies.
• Professional development and training in data science and mining analytics.
• Contribution to strategic decision-making in a global mining company.