Remote Mining Operations Data Analyst

Placements24; Mossel Bay; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Hybrid work

Health insurance

Career growth

Collaborative culture

Job summary

Placements24 is seeking a highly analytical Remote Mining Operations Analyst to join their team in a hybrid role that blends remote work with occasional on-site collaboration in Mossel Bay.

You will collect and analyze data across sites, build dashboards, identify cost-saving opportunities, and assist with budgets and long-term plans, working with site managers, engineers, and finance to drive operational excellence.

Qualifications

• Bachelor's degree in Mining Engineering, Business Analytics, Finance, or related quantitative field.
• At least 4 years of data, operations, or financial analysis experience in mining.
• Advanced Excel; proficiency in SQL; familiarity with Python or R.
• Experience with Tableau or Power BI for data visualization.
• Strong analytical, problem-solving and communication abilities.

Responsibilities

• Collect and analyze data from mining sites including production, costs, equipment, and safety.
• Develop dashboards and reports to visualize KPIs for management teams.
• Identify trends, anomalies, and optimization opportunities in processes and costs.
• Assist in budgets, forecasts, and long-term strategic planning.
• Collaborate with site managers, engineers, and finance to ensure data accuracy.

Skills

Analytical thinking

Problem solving

Communication

Data interpretation

Education

Bachelor's degree in Mining Engineering, Business Analytics, Finance

Tools

Excel

SQL

Python

R

Tableau

Power BI

Job description

Placements24 is seeking a highly analytical Remote Mining Operations Analyst to join their team in a hybrid role that blends remote work with occasional on-site collaboration in Mossel Bay.

You will collect and analyze data across sites, build dashboards, identify cost-saving opportunities, and assist with budgets and long-term plans, working with site managers, engineers, and finance to drive operational excellence.