Remote Data Analyst: Mining Operations Intelligence

Placements24; Sandton; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Performance bonuses

Health benefits

Remote work

Professional development

Job summary

Placements24 is seeking a highly analytical Remote Data Analyst to join the operations intelligence team. You will collect, process, and analyze large datasets from mining operations, identify trends, and provide insights to optimize efficiency.

The role emphasizes data integrity, security, and actionable intelligence in a remote-first environment. Ideal candidates have a strong background in data analysis, statistical modeling, and experience with SQL, Python, R, and visualization tools such as

Qualifications

• Bachelor’s degree in data science, statistics, CS, or related quantitative field.
• Minimum 4 years in data analysis, BI, or related role.
• Proficient in SQL, Python (Pandas, NumPy) or R.
• Experience with data visualization tools like Tableau/Power BI.

Responsibilities

• Collect, clean, and transform data from diverse sources.
• Develop KPIs and trends to inform operations in mining.
• Create dashboards and reports for stakeholders.
• Perform advanced analysis and predictive modeling using Python/R/SQL.
• Identify opportunities for process improvements and cost reductions.
• Collaborate with operational teams to understand data needs.
• Ensure data accuracy, integrity, and security.
• Stay updated on data tools and best practices.

Skills

Data analysis

SQL

Python

R

Tableau

Power BI

Statistics

Communication

Education

Bachelor's degree in data-related field

Tools

SQL

Python

R

Tableau

Power BI

Job description

Placements24 is seeking a highly analytical Remote Data Analyst to join the operations intelligence team. You will collect, process, and analyze large datasets from mining operations, identify trends, and provide insights to optimize efficiency.

The role emphasizes data integrity, security, and actionable intelligence in a remote-first environment. Ideal candidates have a strong background in data analysis, statistical modeling, and experience with SQL, Python, R, and visualization tools such as