Remote Industrial Systems Analyst

Placements24; Mtubatuba Local Municipality; Hybride; ZAR 900 000 - 1 500 000; Plein temps

Avantages offerts par ce poste

Highly competitive remote salary

Comprehensive health, dental, and view

Home office setup allowance

Continuous learning opportunities

Annual performance bonus

Retirement savings plan

Laptop and software licenses provided

Autonomy and innovation culture

Résumé du poste

WhatJobs Direct is seeking a highly analytical Remote Industrial Systems Analyst to join a globally distributed team. You will evaluate and optimize complex industrial processes from a distance, using advanced data analytics and simulation tools to drive significant operational improvements.

With a Master’s in a related field and 6+ years of experience, you will analyze data, build simulation models, and deliver actionable recommendations while collaborating with stakeholders worldwide in a

Qualifications

• Master's degree in Industrial Engineering, Operations Research, or related analytical field.
• 6+ years of experience in industrial engineering, process analysis or systems optimization.
• Proven expertise in statistical analysis, data mining and predictive modeling.
• Proficiency with Arena, AnyLogic and data visualization tools like Tableau/Power BI.

Responsabilités

• Conduct in-depth analysis of industrial operational data to identify trends and areas for improvement.
• Develop and utilize simulation models to test proposed process changes.
• Create detailed reports and presentations outlining findings and projected outcomes.
• Collaborate virtually with site-based teams to understand operational challenges.
• Design and implement KPIs to monitor process effectiveness.
• Research and recommend new technologies to enhance system performance.
• Support remote implementation of process improvements and provide guidance.
• Maintain comprehensive documentation of analyses and recommendations.
• Facilitate virtual workshops and meetings to discuss findings and drive consensus.

Connaissances

Statistical analysis

Data mining

Predictive modeling

Remote collaboration

Clear communication

Formation

Master's degree in Industrial Engineering, Operations Research, or related analytical field

Outils

Arena

AnyLogic

Tableau

Power BI

Python

R

Description du poste

About the Role

Our client, WhatJobs Direct, is seeking a highly analytical and forward-thinking Remote Industrial Systems Analyst to join their globally distributed team. This role is focused on evaluating and optimizing complex industrial processes and systems from a distance, leveraging advanced data analytics and simulation tools. You will be responsible for identifying inefficiencies, developing strategic recommendations, and supporting the implementation of improvements across various operational units. This is a fully remote position, offering the flexibility to work from anywhere, provided you have a stable internet connection and the ability to collaborate effectively in a virtual environment. The ideal candidate will possess exceptional analytical capabilities, a strong understanding of industrial engineering principles, and a proven track record of driving significant operational enhancements. You will work with diverse datasets to provide insights that enhance productivity, reduce costs, and improve quality. This role requires a proactive individual who can thrive in an independent work setting while maintaining strong communication with stakeholders worldwide.

Key Responsibilities

• Conduct in-depth analysis of industrial operational data to identify trends, patterns, and areas for improvement.
• Develop and utilize simulation models to test and evaluate the impact of proposed process changes.
• Create detailed reports and presentations outlining findings, recommendations, and projected outcomes.
• Collaborate virtually with site-based teams to gather information and understand operational challenges.
• Design and implement key performance indicators (KPIs) for monitoring process effectiveness.
• Research and recommend new technologies and methodologies to enhance system performance.
• Support the implementation of process improvements by providing remote guidance and analysis.
• Maintain comprehensive documentation of processes, analyses, and recommendations.
• Facilitate virtual workshops and meetings to discuss findings and drive consensus.
• Stay abreast of industry best practices in industrial engineering and data analytics for remote applications.

Requirements

• Master's degree or equivalent experience in Industrial Engineering, Operations Research, or a related analytical field.
• Minimum of 6 years of experience in industrial engineering, process analysis, or systems optimization.
• Demonstrated expertise in statistical analysis, data mining, and predictive modeling.
• Proficiency with simulation software (e.g., Arena, AnyLogic) and data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of industrial processes, manufacturing systems, and supply chain dynamics.
• Excellent written and verbal communication skills, with the ability to convey complex information clearly.
• Proven ability to work independently and manage projects effectively in a remote setting.
• Experience with programming languages like Python or R for data analysis is highly desirable.
• Ability to foster collaboration and build relationships with remote teams.
• High-speed internet access and a dedicated home office environment are essential.

Benefits

• Highly competitive salary package for a remote role.
• Comprehensive health, dental, and vision insurance coverage.
• Generous allowance for home office setup and internet expenses.
• Opportunities for continuous learning and professional development.
• Flexible working hours to accommodate global collaboration.
• Annual bonus based on individual and company performance.
• Contribution to retirement savings plan.
• Exposure to diverse international industrial operations.
• Company-provided laptop and necessary software licenses.
• A culture that values autonomy and innovation.