Industrial Engineering Analyst - Remote Position

Placements24; Gqeberha; Hybrid; ZAR 420,000 - 540,000; Full time

Benefits offered by this job

Fully remote position

Health, dental & vision benefits

Training & skill development

Collaborative remote team culture

Job summary

Placements24 is seeking an Industrial Engineering Analyst to join a fully remote team. You will collect and analyze operational data, develop KPI dashboards, and identify improvement opportunities across business units.

The role suits an early-to-mid career engineer who thrives in a virtual, global collaborative environment. You will work on data-driven process optimization, deliver analytical insights, and support stakeholders with clear recommendations while growing expertise in industrial

Qualifications

• Bachelor's degree in Industrial Engineering, Operations Research, or related quantitative field.
• 2-4 years of experience in industrial engineering, data analysis, or operations support roles.
• Proficiency with Excel (advanced functions, pivot tables) and SQL.
• Experience with statistical analysis and reporting tools is a plus.
• Ability to work independently and thrive in a remote environment.

Responsibilities

• Collect, organize, and analyze operational data to identify trends and patterns.
• Develop and maintain reports and dashboards tracking KPIs for operational processes.
• Identify bottlenecks and areas for improvement through data analysis.
• Support process improvements with analytical insights and data validation.
• Collaborate remotely with engineers and team members to understand challenges and requirements.
• Prepare presentations summarizing findings and recommendations for stakeholders.

Skills

Data analysis

Statistical analysis

Communication

Remote collaboration

Education

Bachelor's degree in Industrial Engineering or Operations Research

Tools

Excel

SQL

Job description

About the Role

Our client is seeking a diligent and analytical Industrial Engineering Analyst to join their remote team. This role is essential for supporting ongoing efforts to optimize operational efficiency and effectiveness across various business units. You will be responsible for collecting and analyzing data, identifying trends, and providing data-driven insights to inform strategic decisions regarding process improvements. The ideal candidate is highly organized, possesses strong quantitative skills, and excels in a virtual environment, working collaboratively with colleagues located globally. This is an excellent opportunity for an early-to-mid career engineer to grow their expertise in process analysis and optimization within a fully remote structure.

Key Responsibilities

• Collect, organize, and analyze operational data from various sources to identify trends and patterns.
• Develop and maintain reports and dashboards that track key performance indicators (KPIs) for operational processes.
• Assist in the identification of process bottlenecks and areas for improvement through data analysis.
• Support the implementation of process improvements by providing analytical insights and data validation.
• Collaborate with other engineers and team members remotely to understand operational challenges and requirements.
• Prepare presentations summarizing findings and recommendations for stakeholders.

Requirements

• Bachelor's degree in Industrial Engineering , Operations Research, or a related quantitative field.
• 2-4 years of experience in an industrial engineering , data analysis, or operations support role.
• Proficiency with data analysis tools such as Microsoft Excel (advanced functions, pivot tables) and SQL.
• Experience with statistical analysis and reporting tools is a plus.
• Ability to work independently, manage time effectively, and thrive in a remote work environment . Strong attention to detail and excellent written and verbal communication skills.

Benefits

• Competitive annual salary for a remote position.
• Fully remote work arrangement with the flexibility to work from anywhere.
• Comprehensive health, dental, and vision benefits.
• Opportunities for on-the-job training and skill development.
• A supportive and collaborative remote team culture.