Remote Data Analyst for Mining Operations & Optimization

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

Benefits offered by this job

Competitive salary

Fully remote work

Health, dental, vision insurance

Home office allowance

Job summary

Placements24 seeks a skilled Data Analyst to join a leading mining client on a fully remote basis. You will analyze large datasets to identify trends, inefficiencies, and opportunities for improvement, translating complex data into actionable insights for decision-making.

Collaborate with engineering and operations teams to define data requirements, develop dashboards, and present findings to non-technical stakeholders in support of strategic planning across the organization.

Qualifications

• Bachelor's degree in a quantitative field such as Statistics, Data Science, CS or Engineering.
• 3+ years of experience as a Data Analyst with exposure to operational/mining data.
• Proficiency with Python (Pandas, NumPy), R, or SQL.

Responsibilities

• Collect, clean, and organize large datasets from mining operations.
• Perform statistical analysis to identify patterns and anomalies.
• Develop and maintain dashboards and reports to visualize KPIs for management.
• Interpret data findings and communicate insights to non-technical stakeholders.
• Identify opportunities for process optimization and cost reduction.

Skills

Data analysis

Analytical thinking

Communication

Education

Bachelor's degree in Statistics / Data Science / Computer Science / Engineering

Tools

Python

R

SQL

Tableau

Power BI

Job description

Placements24 seeks a skilled Data Analyst to join a leading mining client on a fully remote basis. You will analyze large datasets to identify trends, inefficiencies, and opportunities for improvement, translating complex data into actionable insights for decision-making.

Collaborate with engineering and operations teams to define data requirements, develop dashboards, and present findings to non-technical stakeholders in support of strategic planning across the organization.