Remote Data Analyst - Mineral Resource Management

Placements24; Centurion; Hybrid; ZAR 420,000 - 780,000; Full time

Benefits offered by this job

Private health insurance

Retirement contributions

Paid time off

Home office stipend

Job summary

Placements24 is seeking a highly analytical Remote Data Analyst to join a global mining team. You will handle mineral exploration, drilling, and production data, building models and dashboards to drive decisions.

The role emphasizes strong SQL/Python/R skills, experience with Tableau/Power BI, and ability to communicate findings to stakeholders in a remote setting.

Qualifications

• 3+ years of data analyst experience with large datasets.
• Strong SQL, Python or R skills.
• Experience with Tableau/Power BI.
• Familiarity with mining/geological data is advantageous.

Responsibilities

• Collect, clean, and validate large datasets related to mineral exploration, drilling, and production.
• Develop and implement statistical models and algorithms to analyze geological and operational data.
• Create data visualizations and dashboards to communicate findings.
• Identify trends, anomalies, and KPIs within the data.
• Collaborate remotely with geologists, engineers, and management to deliver insights.
• Assist in development/maintenance of databases for resource estimation.
• Automate reporting processes and improve data quality with validation checks.
• Stay updated on mining industry trends and analytics techniques.
• Prepare technical summaries and presentations for stakeholders.

Skills

SQL

Python

R

Data visualization

Education

Bachelor's or Master's in a quantitative field

Tools

Tableau

Power BI

Cloud platforms (AWS/Azure/GCP)

Job description

About the Role

Our client, a forward-thinking leader in the global mining sector, is actively seeking a highly analytical and detail-oriented Remote Data Analyst to join their expanding virtual team. This role is specifically designed for individuals who thrive in a remote-first environment and possess a strong aptitude for managing and interpreting complex mineral resource datasets. You will be instrumental in providing actionable insights that drive strategic decisions for exploration, development, and operational efficiency across various mining projects. This is an exceptional opportunity to leverage your data analysis skills from anywhere, contributing to cutting-edge mining intelligence.

Key Responsibilities

• Collect, clean, and validate large datasets related to mineral exploration, drilling, and production.
• Develop and implement statistical models and algorithms to analyze geological and operational data.
• Create compelling data visualizations and dashboards (e.g., using Tableau, Power BI) to communicate findings.
• Identify trends, anomalies, and key performance indicators within the data.
• Collaborate remotely with geologists, engineers, and management to understand data needs and deliver insights.
• Assist in the development and maintenance of databases for resource and reserve estimation.
• Automate reporting processes and improve data quality through robust validation checks.
• Stay abreast of industry trends and new analytical techniques relevant to the mining sector.
• Prepare technical summaries and presentations of analytical results for various stakeholders.

Requirements

• A Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Geology, Mining Engineering, or a related quantitative field.
• Proven experience (3+ years) as a Data Analyst, with a focus on handling large, complex datasets.
• Strong proficiency in SQL, Python, or R for data manipulation and analysis.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Familiarity with the mining industry or geological data is highly advantageous.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, adapted for remote collaboration.
• Ability to work independently, manage time effectively, and meet deadlines in a remote setting.
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.

Benefits

This fully remote position offers a highly competitive salary, reflecting the specialized skills required. Our client provides a comprehensive benefits package, including private health insurance, retirement contributions, and generous paid time off. Employees are encouraged to pursue professional development through online courses and virtual conferences. Our client fosters a collaborative and supportive virtual culture, ensuring team members feel connected and valued. Opportunities for career growth into senior data science or resource management roles are available. A home office stipend may be provided.