Remote Chemical Process Analyst

Placements24

Cape Town

Hybrid

ZAR 550,000 - 900,000

Full time

5 days ago
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Benefits offered by this job

Full remote work flexibility
Long-term engagement potential
Professional development opportunities

Job summary

Placements24 is seeking a highly analytical Remote Chemical Process Analyst to support global operations from anywhere. The role focuses on deep dives into process data, identifying trends, inefficiencies and optimization opportunities through advanced analytics and modeling.

You will translate complex data into actionable insights for process improvement and cost reduction, collaborating with site engineers and management in a flexible, fully remote setup.

Qualifications

  • Bachelor's degree in a quantitative field such as Chemical Eng, Data Science or Statistics.
  • Experience in data analysis, statistical modeling, and process optimization.
  • Proficiency with Python, R, SQL and visualization tools like Tableau/Power BI.

Responsibilities

  • Analyze large datasets from chemical processes to identify bottlenecks and optimization opportunities.
  • Develop and maintain predictive models for process performance, yield and quality.
  • Generate detailed reports and visualizations for stakeholders.
  • Collaborate virtually with site engineers and management to implement data-driven improvements.
  • Stay updated on analytics tools and techniques relevant to chemical engineering.
  • Contribute to standard operating procedures for data collection and analysis.

Skills

Data analysis
Statistical modeling
Process optimization
Analytical thinking
Communication skills
Independent work
Big data visualization tools

Education

Bachelor's degree in a quantitative field

Tools

Python
R
SQL
Tableau
Power BI

Job description

About the Role

Our client is looking for a highly analytical Remote Chemical Process Analyst to join their virtual team, supporting operations globally with a focus on their Centurion-based projects. This role involves deep dives into process data, identifying trends, inefficiencies, and areas for optimization through advanced analytics and modeling. You will be crucial in translating complex data into actionable insights that drive strategic decisions for process improvement and cost reduction. This is a fully remote position, offering significant flexibility and the opportunity to work with diverse chemical manufacturing challenges from anywhere.

Key Responsibilities
  • Analyze large datasets from chemical processes to identify performance bottlenecks and areas for optimization.
  • Develop and maintain predictive models for process performance, yield, and quality.
  • Generate detailed reports and visualizations to communicate findings and recommendations to stakeholders.
  • Collaborate virtually with site engineers and management to implement data-driven process improvements.
  • Stay abreast of advancements in data analytics tools and techniques relevant to chemical engineering.
  • Contribute to the development of standard operating procedures for data collection and analysis.
Requirements
  • Bachelor's degree in Chemical Engineering, Data Science, Statistics, or a related quantitative field.
  • Proven experience in data analysis, statistical modeling, and process optimization.
  • Proficiency with data analysis software and programming languages (e.g., Python, R, SQL).
  • Familiarity with chemical process principles and unit operations.
  • Excellent analytical, problem-solving, and communication skills, with the ability to work independently.
  • Experience with big data platforms and visualization tools (e.g., Tableau, Power BI) is advantageous.
Benefits
  • Competitive contract rate and potential for long-term engagement.
  • Full remote work flexibility, allowing you to work from anywhere.
  • Opportunity to contribute to significant process improvements across a global organization.
  • Professional development opportunities in data analytics and chemical process engineering.
  • Engage with cutting-edge analytical tools and methodologies.
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