Remote Data Analyst - Mining Intelligence

Placements24; Rustenburg; Hybrid; ZAR 420,000 - 660,000; Full time

Benefits offered by this job

Competitive remote salary

Flexible work hours

Health benefits

Learning resources

Job summary

Placements24 seeks a talented Data Analyst to join a globally distributed team focused on mining intelligence. This fully remote role in South Africa involves collecting, processing, and analyzing large datasets related to exploration, production, and market trends.

You will translate complex data into actionable insights for stakeholders across international operations. The ideal candidate has a quantitative degree, a proven analytics portfolio, and strong Python/SQL/R skills, with experience

Qualifications

• Bachelor's degree in Statistics, Data Science, Computer Science, or a related quantitative field.
• Proven experience as a Data Analyst with a portfolio of analytical projects.
• Proficiency in Python, R, or SQL.
• Experience with Tableau, Power BI, or similar visualization tools.
• Excellent analytical and problem-solving skills with attention to detail.
• Strong communication skills for remote collaboration.

Responsibilities

• Collect, clean, and organize large datasets from mining operations and markets.
• Develop data analysis models and algorithms to identify trends and patterns.
• Create data visualizations and reports for technical and non-technical audiences.
• Monitor KPIs and provide updates on operational efficiency and market dynamics.
• Collaborate with remote teams across exploration, operations, and finance to support data needs.
• Identify opportunities for data collection, management, and analysis improvements.

Skills

Data analysis

Analytical skills

Communication

Remote collaboration

Portfolio of projects

Education

Bachelor's degree in quantitative field

Tools

Python (Pandas/NumPy)

SQL

R

Tableau

Power BI

Job description

About the Role

Our client is seeking a talented and analytical Data Analyst to join their globally distributed team, focusing on mining intelligence. This is a fully remote position, offering the flexibility to work from anywhere within South Africa. You will be responsible for collecting, processing, and analyzing vast datasets related to exploration, production, and market trends within the mining sector. Your insights will drive strategic decision-making and help identify new opportunities and efficiencies across the company's international operations. This role is crucial for translating complex data into actionable business intelligence for stakeholders across various departments, regardless of their physical location.

Key Responsibilities

• Collect, clean, and organize large datasets from diverse sources related to mining operations and markets.
• Develop and implement data analysis models and algorithms to identify trends and patterns.
• Create compelling data visualizations and reports to communicate findings to technical and non-technical audiences.
• Monitor key performance indicators (KPIs) and provide regular updates on operational efficiency and market dynamics.
• Collaborate with remote teams across exploration, operations, and finance to understand data needs and provide analytical support.
• Identify opportunities for process improvement in data collection, management, and analysis.

Requirements

• Bachelor's degree in Statistics, Data Science, Computer Science, or a related quantitative field.
• Proven experience as a Data Analyst, with a strong portfolio of analytical projects.
• Proficiency in data analysis tools such as Python (Pandas, NumPy), R, or SQL.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Excellent analytical and problem-solving skills, with attention to detail.
• Strong communication skills for effective collaboration in a remote environment.

Benefits

• Competitive remote salary and performance-based bonuses.
• Flexible work hours and the freedom to work from home.
• Comprehensive health and wellness benefits package.
• Access to online learning platforms and professional development resources.
• Opportunity to work with cutting-edge data technologies in the global mining sector.