Remote Chemical Process Analyst

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About the Role Our client is seeking a highly analytical and detail-oriented Remote Chemical Process Analyst to join their globally distributed team, supporting operations primarily in the Western Cape region.

Key Responsibilities • Collect, process, and analyze large datasets from chemical manufacturing processes using advanced analytical software. • Develop and maintain dashboards and reports to visualize key performance indicators (KPIs ) and process trends. • Identify anomalies, inefficiencies, and potential areas for process optimization, providing data-backed recommendations. • Collaborate remotely with plant teams to understand operational challenges and provide analytical support. • Contribute to the development and validation of predictive models for process performance and troubleshooting. • Ensure data integrity and accuracy throughout the analysis lifecycle.

Benefits • Competitive remote salary and performance-based incentives. • Flexible remote work environment , allowing for work-life balance. • Comprehensive health, dental, and vision insurance plans. • Access to online training and professional development resources. • Opportunity to work on diverse projects with a global team, supporting innovation across various sites.

This role focuses on analyzing complex process data, identifying trends, optimizing performance, and providing actionable insights to improve efficiency, yield, and product quality.

You will work independently, leveraging advanced analytical tools and collaborating virtually with plant engineers and management to drive data-informed decision-making. This is a prime opportunity for a technically proficient analyst who thrives in a remote setting and enjoys solving intricate operational puzzles.

Requirements • Bachelor's degree in Chemical Engineering , Data Science, or a related quantitative field. • 3+ years of experience in process analysis, data interpretation, or operations support, preferably in a chemical industry context. • Proficiency with data analysis tools such as Python (Pandas, NumPy), R, or specialized statistical software. • Experience with data visualization tools (e.g., Tableau, Power BI). • Strong understanding of chemical engineering principles and manufacturing processes. • Excellent analytical, problem-solving, and remote communication skills.