Remote Chemical Process Analyst

Placements24; Southampton; Remote; GBP 50,000 - 70,000; Full time

Benefits offered by this job

Competitive salary

Remote work allowance

Health, dental, and vision insurance

Flexible working hours

Access to online training

Cutting-edge data analytics tools

Job summary

Placements24 is seeking a detail-oriented Chemical Process Analyst to join a fully remote team. You will analyze process data, develop dashboards, and drive improvements across chemical manufacturing operations. The role emphasizes data analytics, modeling, and collaboration with engineers and management in a distributed environment.

A strong quantitative background and communication skills are essential. This position offers remote work flexibility, ongoing online training, and opportunities to

Qualifications

• Bachelor's degree in Chemical Engineering, Data Science, or related quantitative field.
• 3-5 years of experience in process analysis or data interpretation in the chemical industry.
• Proficiency in data analysis software (Python, R, MATLAB) and statistical methods.
• Strong understanding of chemical processes and unit operations.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Analyze complex process data from various plant operations to identify trends and deviations.
• Develop and maintain dashboards and reports for monitoring KPIs.
• Conduct root cause analysis for process issues and recommend corrective actions.
• Utilize statistical tools and software for process optimization and predictive analysis.
• Collaborate virtually with plant engineers and management to implement improvement strategies.
• Stay updated with advancements in process analysis and data science techniques.

Skills

Data analysis

Remote collaboration

Analytical thinking

Education

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

Tools

Python

R

MATLAB

Job description

About the Role

Our client is looking for a detail-oriented Chemical Process Analyst to join their fully remote team, contributing to the ongoing optimization and monitoring of their chemical manufacturing operations. This position involves in-depth analysis of process data, identification of trends, and the development of recommendations for improvement, all performed from a remote location. You will play a key role in enhancing process efficiency, product quality, and operational safety by leveraging advanced data analytics and modeling techniques. This is an excellent opportunity for an analytical thinker who thrives on problem-solving and continuous improvement in a distributed team environment.

Key Responsibilities

• Analyze complex process data from various plant operations to identify trends and deviations.
• Develop and maintain dashboards and reports for monitoring key process performance indicators (KPIs).
• Conduct root cause analysis for process issues and recommend corrective actions.
• Utilize statistical tools and software for process optimization and predictive analysis.
• Collaborate virtually with plant engineers and management to implement improvement strategies.
• Stay updated with the latest advancements in process analysis and data science techniques.

Requirements

• Bachelor's degree in Chemical Engineering, Data Science, or a related quantitative field.
• 3-5 years of experience in process analysis, data interpretation, or a similar role in the chemical industry.
• Proficiency in data analysis software (e.g., Python, R, MATLAB) and statistical methods.
• Strong understanding of chemical processes and unit operations.
• Excellent analytical, problem-solving, and critical thinking skills.
• Effective written and verbal communication skills for remote collaboration.

Benefits

• Competitive salary and remote work allowance.
• Comprehensive health, dental, and vision insurance plans.
• Flexible working hours to support a remote lifestyle.
• Access to online training and professional development resources.
• Opportunity to work with cutting-edge data analytics tools and methodologies.