Remote Chemical Process Data Analyst for Optimization

Placements24; Stellenbosch; Hybrid; ZAR 450,000 - 650,000; Full time

Job summary

Placements24 in Stellenbosch is seeking a detail-oriented Chemical Process Analyst for a remote-first role. You will analyze chemical-process data to identify trends and opportunities for optimization across projects in the Stellenbosch chemical sector.

You will translate data into actionable insights for process engineers and management, maintain data integrity, and collaborate with a distributed team to drive continuous improvement in operations and product quality.

Qualifications

• Degree in Chemical Engineering, Statistics, or a related quantitative field.
• 2–4 years of data analysis experience in chemical or industrial settings.
• Proficiency with analysis tools (Excel, Python, R) and statistics.
• Strong problem-solving and independent work in remote environments.

Responsibilities

• Collect, clean, and analyze large chemical-process datasets to identify trends.
• Develop reports and visualizations communicating performance to stakeholders.
• Identify deviations and recommend corrective actions based on data.
• Support process engineers with data-driven troubleshooting and optimization.
• Maintain databases and ensure data integrity for process-related data.
• Collaborate with remote team using digital tools for project coordination.

Skills

Data analysis

Python

Excel

Education

Bachelor's degree in Chemical Engineering, Statistics, or related quantitative field

Tools

Python with Pandas

R

Excel

Job description

Placements24 in Stellenbosch is seeking a detail-oriented Chemical Process Analyst for a remote-first role. You will analyze chemical-process data to identify trends and opportunities for optimization across projects in the Stellenbosch chemical sector.

You will translate data into actionable insights for process engineers and management, maintain data integrity, and collaborate with a distributed team to drive continuous improvement in operations and product quality.