Remote Manufacturing Process Analyst

Placements24; Gauteng; Hybrid; ZAR 420,000 - 780,000; Full time

Benefits offered by this job

Fully remote

Flexible hours

Professional development

Job summary

Placements24 is seeking a highly analytical Remote Manufacturing Process Analyst to drive data-driven improvements across multiple sites. You will analyze large manufacturing datasets, build dashboards, and collaborate with remote teams to identify cost-saving opportunities and efficiency gains in a fully remote capacity.

The ideal candidate has a Bachelor’s in a quantitative field, 4+ years in data analysis or operations research in manufacturing, and strong Python/R/SQL skills, plus

Qualifications

• Bachelor's degree in a quantitative field is required.
• Minimum 4 years of data analysis, process improvement, or operations research in manufacturing is required.
• Strong proficiency in Python, R, and SQL.
• Experience with data visualization tools (Tableau, Power BI).
• Able to communicate complex findings to diverse audiences; remote-work capable.

Responsibilities

• Analyze large datasets related to manufacturing operations and KPIs.
• Develop and maintain dashboards and reports to visualize metrics.
• Conduct what-if analyses to assess proposed changes before implementation.
• Collaborate remotely with on-site teams to understand operational challenges.

Skills

Data analysis

Statistical thinking

Problem solving

Communication

Education

Bachelor's degree in Industrial Engineering, Operations Research, Statistics, Data Science, or related quantitative field

Tools

Python

R

SQL

Tableau

Power BI

Job description

About the Role

Our client is a forward-thinking manufacturing enterprise seeking a highly analytical and self-motivated Remote Manufacturing Process Analyst. This position is entirely remote, allowing you to contribute your expertise from anywhere. You will be responsible for analyzing complex manufacturing data, identifying inefficiencies, and proposing data-driven solutions to optimize production processes across various sites. Your insights will be critical in driving operational excellence and cost savings without the need for physical presence at any specific facility. This is a unique opportunity to leverage your analytical skills in a fully remote capacity, impacting large-scale manufacturing operations.

Key Responsibilities

Analyze large datasets related to manufacturing operations, including production yields, cycle times, resource utilization, and quality metrics. Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) and identify trends. Utilize statistical analysis and data modeling techniques to pinpoint areas of inefficiency and potential cost savings. Collaborate remotely with on-site production teams, engineers, and management to understand operational challenges and propose solutions. Document process improvements, best practices, and recommendations for implementation. Conduct 'what-if' scenario analysis to evaluate the impact of proposed changes before implementation. Stay abreast of industry trends, new technologies, and advanced analytical methodologies relevant to manufacturing. Ensure data integrity and accuracy, implementing data validation checks where necessary. Communicate findings and recommendations clearly and concisely through written reports and virtual presentations. Contribute to strategic planning and decision-making by providing robust data-driven insights.

Requirements

Bachelor's degree in Industrial Engineering, Operations Research, Statistics, Data Science, or a related quantitative field. Minimum of 4 years of experience in data analysis, process improvement, or operations research within the manufacturing sector. Demonstrated expertise in data analysis tools and programming languages (e.g., Python, R, SQL). Proficiency in data visualization tools (e.g., Tableau, Power BI). Strong understanding of manufacturing processes and principles. Excellent analytical, critical thinking, and problem-solving skills. Exceptional written and verbal communication skills, with the ability to articulate complex findings to diverse audiences. Proven ability to work independently, manage time effectively, and meet deadlines in a remote setting. Experience with statistical modeling and simulation techniques is highly desirable. Must have a reliable internet connection and a suitable home office setup.

Benefits

This role offers a competitive salary, flexible working hours, and the significant advantage of being fully remote. Our client provides opportunities for continuous learning, professional development, and exposure to cutting-edge manufacturing technologies. You will be part of a supportive virtual team that values innovation and efficiency, contributing to the success of a leading manufacturing group without the constraints of a traditional office environment.