Remote Chemical Process Analyst

Placements24

Gqeberha

Hybrid

ZAR 420,000 - 620,000

Full time

5 days ago
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Benefits offered by this job

Contract flexibility
Remote work
Diverse projects
Impactful work
Team support

Job summary

Placements24 is seeking a Remote Chemical Process Analyst to support operations across multiple projects from a fully remote location. You will analyze process data, optimize chemical processes, and develop dashboards to track KPIs related to efficiency, quality and cost.

The role requires a Bachelor's in Chemical Engineering and 3+ years in process analysis, with solid data tools and remote collaboration skills.

Qualifications

  • Bachelor's degree in Chemical Engineering or closely related field.
  • 3+ years of experience in chemical process analysis, optimization or plant support.
  • Proficiency in data analysis software (Excel, Python with Pandas, R) and statistical methods.
  • Experience with process simulation software is a plus.
  • Excellent remote communication and collaboration skills.

Responsibilities

  • Analyze process data to identify trends, bottlenecks and areas for optimization.
  • Develop and maintain dashboards and reports to track KPIs related to process efficiency and output.
  • Conduct statistical analysis to evaluate process variations and recommend improvements.
  • Provide remote technical support and insights for process troubleshooting with on-site teams.
  • Research and propose new technologies or methodologies to enhance performance and sustainability.
  • Document findings, recommendations and process changes clearly.

Skills

Data analysis
Statistical methods
Remote communication

Education

Bachelor's degree in Chemical Engineering

Tools

Excel
Python (Pandas)
R

Job description

About the Role

Our client is looking for a talented Remote Chemical Process Analyst to join their team and support operations across various projects, primarily focusing on analyzing and optimizing chemical processes from a remote location. This role is ideal for a detail-oriented individual who can leverage data analysis tools and chemical engineering principles to identify areas for improvement in efficiency, quality, and cost-effectiveness. You will work independently, collaborating with geographically dispersed teams to provide crucial insights and recommendations that drive operational excellence. This is a fantastic opportunity for a self-motivated professional to contribute significantly to a dynamic chemical company, enjoying the flexibility and autonomy of a fully remote position.

Key Responsibilities
  • Analyze process data from various chemical manufacturing sites to identify trends, bottlenecks, and areas for optimization.
  • Develop and maintain dashboards and reports to track key performance indicators (KPIs) related to process efficiency and output.
  • Conduct statistical analysis to evaluate process variations and recommend strategies for improvement.
  • Collaborate with on-site engineering teams to provide remote technical support and insights for process troubleshooting.
  • Research and propose new technologies or methodologies to enhance process performance and sustainability.
  • Document findings, recommendations, and process changes clearly and concisely.
Requirements
  • Bachelor's degree in Chemical Engineering or a closely related field.
  • 3+ years of experience in chemical process analysis, optimization, or plant support.
  • Proficiency in data analysis software (e.g., Excel, Python with Pandas, R) and statistical methods.
  • Experience with process simulation software is a plus.
  • Excellent remote communication and collaboration skills, with the ability to work independently.
Benefits
  • Competitive contract rate with potential for project extension.
  • Flexible working hours and the ability to work from anywhere.
  • Opportunity to work on diverse and challenging chemical process projects.
  • Direct impact on improving operational efficiency for a global company.
  • Supportive remote team environment with regular virtual check-ins.
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