Remote Mining Data Analyst

Placements24; George; Hybrid; ZAR 480,000 - 800,000; Full time

Benefits offered by this job

Competitive salary and incentives

Fully remote work arrangement

Professional growth in data analytics

Job summary

Placements24 is seeking a skilled Remote Mining Data Analyst to join a globally distributed team. You will analyze datasets from exploration, production, and monitoring to identify trends and inform decisions, delivering actionable insights that improve efficiency and profitability.

You will develop dashboards, perform statistical analyses, and collaborate remotely with geologists, engineers, and management to optimize data-driven mining strategies.

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Mining Engineering, or a related quantitative field.
• 3+ years of experience in data analysis, preferably in mining or natural resources.
• Proficiency in Python (Pandas, NumPy), R, or SQL.
• Experience with Tableau, Power BI, or similar tools.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication for remote collaboration and presenting findings.

Responsibilities

• Collect, clean, and process large datasets from mining operations and exploration activities.
• Develop and maintain dashboards and reports to visualize KPIs and trends.
• Perform statistical analysis to identify patterns, anomalies, and efficiency improvements.
• Collaborate with cross-functional teams remotely to deliver analytical solutions.
• Utilize data mining and machine learning techniques to uncover insights and predictive models.
• Ensure data integrity, accuracy, and security across processes.

Skills

Data analysis

Data visualization

Statistical analysis

Remote collaboration

Communication

Education

Bachelor's degree in Data Science or related field

Tools

Python

R

SQL

Tableau/Power BI

Job description

About the Role

Our client is seeking a skilled Remote Mining Data Analyst to join their globally distributed team, supporting operations remotely. This role is pivotal in analyzing vast datasets generated from exploration, production, and operational monitoring to identify trends, optimize processes, and inform strategic decisions. You will be instrumental in transforming raw data into actionable insights that drive efficiency and profitability across various mining projects. The successful candidate will work independently, leveraging advanced analytical tools and collaborating virtually with geologists, engineers, and management to enhance our client's data-driven approach to mining.

Key Responsibilities

• Collect, clean, and process large datasets from various mining operations and exploration activities.
• Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) and operational trends.
• Perform statistical analysis to identify patterns, anomalies, and areas for improvement in mining efficiency and resource management.
• Collaborate with cross-functional teams remotely to understand data needs and deliver tailored analytical solutions.
• Utilize data mining and machine learning techniques to uncover hidden insights and predictive models.
• Ensure data integrity, accuracy, and security across all analytical processes.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, Mining Engineering, or a related quantitative field.
• 3+ years of experience in data analysis, preferably within the mining or natural resources sector.
• Proficiency in data analysis tools and languages such as Python (Pandas, NumPy), R, or SQL.
• Experience with data visualization tools like Tableau, Power BI, or similar platforms.
• Strong analytical and problem-solving skills with meticulous attention to detail.
• Excellent communication skills for remote collaboration and presentation of findings.

Benefits

• Competitive salary and performance-based incentives.
• Fully remote work arrangement, offering flexibility and work-life balance.
• Opportunities for professional growth and development in data analytics and mining technologies.
Access to cutting-edge analytical software and tools.
• A collaborative and supportive virtual team environment.