Remote Manufacturing Operations Analyst

Placements24; Bloemfontein; Hybrid; ZAR 420,000 - 660,000; Full time

Benefits offered by this job

Remote work stipend

Health, dental and vision insurance

Flexible hours and fully remote

Paid time off and development

Job summary

Placements24 is seeking a highly analytical Remote Manufacturing Operations Analyst to join a distributed team. You will monitor and analyze manufacturing performance across sites to enable data-driven decisions that improve efficiency and reduce costs.

You will develop dashboards for KPIs like OEE, yield, and cycle time, and collaborate virtually with site managers to drive operational improvements. A strong analytics background and understanding of Lean principles are essential.

Qualifications

• Bachelor's degree in a quantitative field (OR, IE, analytics) is required.
• 4+ years in manufacturing analysis or operations research, ideally remote.
• Proficiency in SQL, Python/R, and advanced Excel.

Responsibilities

• Collect and interpret manufacturing data to identify trends and issues.
• Develop dashboards and reports tracking KPIs like OEE, yield, cycle time.
• Provide data-driven insights to operations leadership on efficiency and costs.
• Support implementation of operational improvements with analytics.
• Collaborate virtually with site teams to understand data nuances.
• Stay updated on manufacturing analytics and continuous improvement practices.

Skills

SQL

Python

R

Excel

Education

Bachelor's degree in Operations Research/Industrial Engineering/Business Analytics

Tools

Tableau

Power BI

Job description

About the Role

Our client is seeking a highly analytical and self-motivated Remote Manufacturing Operations Analyst to join their distributed team. This position is pivotal in monitoring, analyzing, and reporting on manufacturing performance across various sites, enabling data-driven decision-making to optimize operational efficiency and cost-effectiveness. You will work independently, leveraging advanced data analysis tools and collaborating virtually with site managers and operations leaders. The ideal candidate thrives in a remote setting, possesses exceptional analytical acumen, and has a deep understanding of manufacturing processes and key performance indicators. This role offers significant autonomy and the chance to influence strategic operational improvements without geographical constraints.

Key Responsibilities

• Collect, analyze, and interpret manufacturing data from various sources to identify trends, performance issues, and opportunities for improvement.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) such as OEE, yield, cycle time, and cost metrics.
• Provide data-driven insights and recommendations to operations leadership for enhancing efficiency, reducing waste, and controlling costs.
• Support the implementation of operational improvements and initiatives by providing analytical support and tracking progress.
• Collaborate virtually with site operations teams to understand local challenges and data nuances.
• Stay abreast of industry best practices in manufacturing analytics and continuous improvement methodologies.

Requirements

• Bachelor's degree in Operations Research, Industrial Engineering, Business Analytics, or a related quantitative field.
• Minimum of 4 years of experience in manufacturing analysis, operations research, or a similar analytical role, preferably with remote experience.
• Proficiency in data analysis tools such as SQL, Python/R, and advanced Excel.
• Experience with business intelligence platforms (e.g., Tableau, Power BI) is highly desirable.
• Strong understanding of manufacturing processes, Lean principles, and statistical analysis.

Benefits

• Competitive salary and remote work stipend.
• Comprehensive health, dental, and vision insurance.
• Flexible working hours and a fully remote setup.
• Generous paid time off and opportunities for virtual professional development.
• A company culture that values data-driven insights and remote collaboration.