Remote Data Analyst - Mining Operations

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

Benefits offered by this job

Competitive salary

Fully remote work arrangement

Flexible hours

Professional development

Job summary

Placements24 in South Africa is seeking a Data Analyst to join its remote operations team supporting mining projects near Soweto. You will collect, clean, analyze, and interpret large datasets to identify trends and opportunities to improve efficiency and planning.

This fully remote role offers flexible hours and the chance to work with cutting-edge analytics tools, collaborating with engineers and managers to deliver actionable insights across departments.

Qualifications

• Bachelor's degree in Statistics, Data Science, Computer Science, or a related quantitative field.
• Minimum of 3 years of experience as a Data Analyst, preferably within the mining or industrial sector.
• Proficiency in SQL for data extraction and manipulation.
• Experience with data visualization tools (Power BI, Tableau, Excel).
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication skills and the ability to explain technical findings to non-technical audiences.

Responsibilities

• Collect, clean, and process data from diverse sources, including operational sensors, production logs, and financial reports.
• Develop and implement data analysis methodologies to identify KPIs and trends.
• Create insightful reports, dashboards, and visualizations using tools like Power BI or Tableau.
• Collaborate with operational managers and engineers to understand data needs and deliver actionable insights.
• Identify opportunities for process optimization based on data analysis.
• Ensure data accuracy, integrity, and security.

Skills

SQL

Data Visualization

Analytical Thinking

Communication

Problem Solving

Critical Thinking

Education

Bachelor's degree in statistics / data science / computer science or related quantitative field

Tools

Power BI

Tableau

Excel

Job description

About the Role

Our client is looking for a highly motivated Data Analyst to join their remote operations team, supporting projects near Soweto . This fully remote position involves collecting, cleaning, analyzing, and interpreting large datasets from various mining operations to identify trends, insights, and areas for improvement. You will play a key role in driving data-informed decision-making across different departments. This is an excellent opportunity for an analytical professional who excels in a remote work environment and wants to make a tangible impact on operational efficiency and strategic planning within the mining sector.

Key Responsibilities

• Collect, clean, and process data from diverse sources, including operational sensors, production logs, and financial reports.
• Develop and implement data analysis methodologies to identify key performance indicators (KPIs) and trends.
• Create insightful reports, dashboards, and visualizations using tools like Power BI or Tableau.
• Collaborate with operational managers and engineers to understand data needs and deliver actionable insights.
• Identify opportunities for process optimization based on data analysis.
• Ensure data accuracy, integrity, and security.

Requirements

• Bachelor's degree in Statistics, Data Science, Computer Science, or a related quantitative field.
• Minimum of 3 years of experience as a Data Analyst, preferably within the mining or industrial sector.
• Proficiency in SQL for data extraction and manipulation.
• Experience with data visualization tools (e.g., Power BI, Tableau, Excel).
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication skills and the ability to explain technical findings to non-technical audiences.

Benefits

• Competitive annual salary and potential for performance bonuses.
• Fully remote work arrangement with flexible hours.
• Opportunity to work with cutting-edge data analytics tools and techniques.
• Contribute to data-driven improvements in a major industry.
• Professional development and continuous learning opportunities.