Remote Data Analyst - Resource Management

Placements24; Durban; Hybrid; ZAR 960,000 - 1,601,000; Full time

Benefits offered by this job

Competitive remote salary

Annual bonuses

Health, dental, vision insurance

Flexible working hours

Growth opportunities

Job summary

Placements24 is seeking a skilled and analytical Data Analyst to join a fully remote team supporting mining operations worldwide. You will collect, process, and analyze large datasets spanning resource extraction, operations, and geological surveys to deliver actionable insights.

Collaborate with geologists and engineers to understand data needs, build dashboards, use Python, SQL, and BI tools, ensure data quality, and present clear recommendations to drive efficiency and planning.

Qualifications

• Bachelor's degree in a quantitative field (Data Science, Statistics, CS, Economics).
• Proven experience as Data Analyst, preferably in mining/resources.
• Proficiency with Python, R, SQL, Tableau/Power BI.
• Strong statistical knowledge and data management.
• Excellent communication and ability to work remotely.

Responsibilities

• Collect, clean, and organize large datasets from various sources.
• Develop and maintain dashboards and reports to visualize KPIs and trends.
• Perform complex data analysis to identify patterns and anomalies.
• Collaborate with geologists and engineers to understand data needs and provide analytical support.
• Utilize statistical methods and data mining to extract insights and make recommendations.
• Ensure data accuracy, integrity, and security throughout the analysis process.

Skills

Analytical thinking

Data cleaning

Problem solving

Independent work

Communication

Education

Bachelor's degree in Data Science / Statistics / CS / Economics

Tools

Python

R

SQL

Tableau

Power BI

Job description

About the Role

Our client is seeking a skilled and analytical Data Analyst to join their expanding team in a fully remote capacity, supporting their extensive mining operations. You will be responsible for collecting, processing, and analyzing vast datasets related to resource extraction, operational efficiency, and geological surveys. This role is crucial for providing actionable insights that drive strategic decision-making across the organization, helping to optimize resource utilization and project planning from anywhere in the world. This is an exceptional opportunity to leverage your analytical prowess in the mining sector without the need for relocation.

Key Responsibilities

• Collect, clean, and organize large datasets from various sources, including production logs, geological surveys, and financial reports.
• Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) and operational trends.
• Perform complex data analysis to identify patterns, trends, and anomalies in resource management and operational data.
• Collaborate with cross-functional teams, including geologists and engineers, to understand their data needs and provide analytical support.
• Utilize statistical methods and data mining techniques to extract meaningful insights and make recommendations.
• Ensure data accuracy, integrity, and security throughout the analysis process.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
• Proven experience as a Data Analyst or in a similar analytical role, preferably within the mining or resources sector.
• Proficiency in data analysis and visualization tools such as Python (Pandas, NumPy), R, SQL, Tableau, or Power BI.
• Strong understanding of statistical analysis and database management.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and manage multiple projects in a remote setting, with strong communication skills.

Benefits

• Competitive remote salary and potential for annual bonuses.
• Comprehensive health, dental, and vision insurance coverage.
• Flexible working hours and a supportive remote work environment.
• Opportunities for professional growth and continuous learning in data analytics.
• Access to cutting-edge data analysis tools and platforms.