Remote Data Analyst - Mining Ops & Predictive Analytics

Placements24; Gqeberha; Hybrid; ZAR 300,000 - 600,000; Full time

Benefits offered by this job

Remote work

Health benefits

Collaborative team

Job summary

Placements24 is seeking a remote Data Analyst to optimize mining operations through advanced data analytics. You will collect and clean large datasets, build dashboards in Power BI/Tableau, and perform statistical analyses to uncover trends and improve efficiency across exploration, production, and safety domains.

You will collaborate with geologists, engineers, and managers to deliver actionable insights, build predictive models, and ensure data integrity and security in a fully remote role.

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.
• Minimum of 3 years experience as a Data Analyst, preferably with mining/industrial operations.
• Proficiency in SQL for data extraction and manipulation and strong data visualization skills (Tableau/Power BI).
• Experience with Python or R for statistical analysis is a plus.

Responsibilities

• Collect, clean, and process large datasets from mining operations and sensors.
• Develop and maintain dashboards and reports using BI tools (Tableau/Power BI).
• Perform statistical analysis to identify trends, anomalies, and opportunities for improvement.
• Collaborate with geologists, engineers, and management to understand data needs.

Skills

SQL

Power BI

Python

Data Visualization

Statistics

Education

Bachelor's degree in Data Science or related field

Tools

Tableau

Excel

Job description

Placements24 is seeking a remote Data Analyst to optimize mining operations through advanced data analytics. You will collect and clean large datasets, build dashboards in Power BI/Tableau, and perform statistical analyses to uncover trends and improve efficiency across exploration, production, and safety domains.

You will collaborate with geologists, engineers, and managers to deliver actionable insights, build predictive models, and ensure data integrity and security in a fully remote role.