Remote Mining Data Analyst

Placements24; Paarl; Hybrid; ZAR 520,000 - 900,000; Full time

Benefits offered by this job

Fully remote

Flexible hours

Health insurance

Training resources

Bonuses

Job summary

Placements24 is seeking a talented Remote Mining Data Analyst to transform large mining datasets into actionable insights that improve operational efficiency, safety, and resource management. You will collaborate virtually with geologists, engineers, and management to identify trends, develop models, and deliver dashboards using Power BI, Tableau, or QlikView.

The ideal candidate holds a quantitative degree and at least four years of mining data analysis, with strong SQL skills and experience in

Qualifications

• Bachelor's degree in a quantitative field is required.
• At least 4 years of mining data analysis experience.
• SQL proficiency for data extraction and manipulation.
• Strong experience with data visualization tools (Power BI, Tableau, QlikView).
• Familiarity with Python or R for analysis and modeling.
• Excellent analytical and remote communication skills.

Responsibilities

• Collect, clean, and process large mining datasets (production, geology, equipment).
• Develop and implement analytical models to identify trends and drivers.
• Create dashboards and reports using Power BI, Tableau, or QlikView for stakeholders.
• Collaborate with cross-functional teams to deliver tailored analytical solutions.
• Monitor KPIs and provide recommendations for operational improvements.
• Ensure data integrity and accuracy throughout the analysis process.

Skills

4+ years mining data analysis

Analytical skills

Remote work communication

Education

Bachelor's degree in Data Science, Statistics, Computer Science, Mining Engineering

Tools

SQL

Power BI

Tableau

QlikView

Python

R

Job description

About the Role

Our client is seeking a talented and detail-oriented Remote Mining Data Analyst to join their innovative team. This role focuses on transforming vast amounts of raw mining data into actionable insights that drive operational efficiency, improve safety, and optimize resource management. You will work with cutting-edge analytics tools and collaborate virtually with geologists, engineers, and management to identify trends, patterns, and opportunities for improvement across various mining projects. The ideal candidate thrives in a remote setting, possesses strong quantitative skills, and has a passion for leveraging data to solve complex challenges in the mining industry.

Key Responsibilities

• Collect, clean, and process large datasets from various mining operations (e.g., production, geological, equipment performance).
• Develop and implement analytical models to identify trends, anomalies, and performance drivers.
• Create insightful dashboards and reports using data visualization tools (e.g., Power BI, Tableau) for stakeholders.
• Collaborate with cross-functional teams to understand data needs and deliver tailored analytical solutions.
• Monitor key performance indicators (KPIs) and provide recommendations for operational enhancements.
• Ensure data integrity and accuracy throughout the analysis process.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, Mining Engineering, or a related quantitative field.
• Minimum of 4 years of experience in data analysis, with specific experience in the mining sector.
• Proficiency in SQL for data extraction and manipulation.
• Strong experience with data visualization tools (e.g., Power BI, Tableau, QlikView).
• Familiarity with programming languages like Python or R for statistical analysis and data modeling.
• Excellent analytical, problem-solving, and communication skills, suitable for a remote work environment.

Benefits

• Highly competitive salary and potential for annual bonuses.
• Fully remote work arrangement with flexible hours.
• Comprehensive health insurance and wellness programs.
• Professional development opportunities and access to online training resources.
• Opportunity to make a significant impact on data-driven decision-making in the global mining landscape.