Remote Data Analyst - Mining Intelligence

Placements24; Stellenbosch; Híbrido; ZAR 600 000 - 900 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote work

Performance bonuses

Health/dental/vision insurance

Flexible hours

Home office stipend

Professional development

Impactful work in mining

Resumo da oferta

Placements24 is seeking a talented Data Analyst with a passion for mining to join a fully remote team. You will extract, analyze, and interpret complex mining datasets, build models, and create dashboards that drive decision-making for geologists, engineers, and management.

Collaborate across functions to ensure data quality, deliver actionable insights, and shape data intelligence strategies in a flexible remote role. Strong Python/SQL and data visualization skills are essential.

Qualificações

• Bachelor's degree in a quantitative field.
• Minimum of 5 years of experience as a Data Analyst, with mining or natural resources exposure.
• Proficiency with Python (Pandas, NumPy), R, SQL.
• Experience with data visualization tools like Tableau or Power BI.
• Strong analytical and communication skills.

Responsabilidades

• Collect, clean, and organize large mining-related datasets.
• Develop analytical models to identify trends and insights.
• Create data visualizations and reports for technical and non-technical stakeholders.
• Support dashboards for real-time monitoring of KPIs.
• Collaborate with cross-functional teams to define data requirements and objectives.
• Provide data-backed strategic recommendations.

Conhecimentos

Python (Pandas, NumPy)

SQL

R

Formação académica

Bachelor's degree in Data Science, Statistics, Computer Science, or related

Ferramentas

Tableau

Power BI

Descrição da oferta de emprego

About the Role

Our client is seeking a talented and analytical Data Analyst with a passion for the mining industry to join their team on a fully remote basis. In this role, you will be instrumental in extracting, analyzing, and interpreting complex datasets related to mining operations, geological surveys, and market trends to provide actionable intelligence. You will work closely with geologists, engineers, and management teams to support data-driven decision-making, identify opportunities, and mitigate risks. This is a unique opportunity for a data professional to leverage their skills in a specialized field, working from anywhere while contributing to strategic initiatives within the global mining sector. The company culture fosters collaboration, innovation, and continuous learning, even within a remote framework.

Key Responsibilities

• Collect, clean, and organize large datasets from various mining-related sources.
• Develop and implement analytical models to identify trends, patterns, and insights in mining data.
• Create compelling data visualizations and reports to communicate findings to technical and non-technical stakeholders.
• Support the development of dashboards for real-time monitoring of key performance indicators.
• Collaborate with cross-functional teams to define data requirements and analytical objectives.
• Contribute to strategic planning by providing data-backed recommendations.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field.
• Minimum of 5 years of experience as a Data Analyst , with exposure to the mining or natural resources sector .
• Proficiency in data analysis tools and programming languages such as Python (Pandas, NumPy), R, or SQL.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Strong analytical and problem-solving skills with meticulous attention to detail.
• Excellent communication skills, with the ability to explain complex data insights clearly.

Benefits

• Competitive remote salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Flexible working hours and the autonomy of a fully remote role.
• Generous allowance for home office setup and professional development.
• Opportunity to shape data intelligence strategies for a leading mining company, regardless of location.