Remote Manufacturing Process Analyst

Placements24

East London

Hybrid

ZAR 600,000 - 900,000

Full time

46 hours ago
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Benefits offered by this job

Performance bonuses
Flexible working hours
Generous annual leave allowance
Professional development budget for在线(

Job summary

Placements24 is supporting a global leader in advanced manufacturing solutions in its search for a Remote Manufacturing Process Analyst. The role focuses on analyzing production data, identifying inefficiencies, and delivering data-driven recommendations for process improvements from anywhere in South Africa.

You will build dashboards, conduct virtual studies, and collaborate with remote teams to drive cost savings, efficiency gains, and quality enhancements while maintaining strong data

Qualifications

  • Bachelor's degree in a quantitative field (e.g., Industrial Engineering, Ops Research, Data Science, Statistics).
  • Minimum of 5 years experience in manufacturing process analysis or a related analytical role.
  • Proven data analysis, statistical modeling, and data visualization skills.
  • Strong knowledge of Lean Manufacturing and Six Sigma methodologies.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work independently and manage multiple remote projects.

Responsibilities

  • Analyze manufacturing data to identify trends, bottlenecks, and improvement opportunities.
  • Develop and maintain dashboards and reports to visualize KPIs on production efficiency, quality, and cost.
  • Design and conduct virtual process studies to evaluate performance and root causes.
  • Formulate data-driven recommendations for process optimization, automation, and lean initiatives.
  • Collaborate with remote engineering, operations, and management teams to implement solutions.
  • Stay updated on industry best practices and emerging technologies in manufacturing process analysis.
  • Document findings, recommendations, and implementation plans clearly.
  • Utilize statistical software and data visualization tools for in-depth analysis.
  • Facilitate virtual meetings and present findings to diverse stakeholders.
  • Ensure data integrity and accuracy for all analyses.

Skills

Data analysis
Statistical modeling
Data visualization
Independent work
Remote collaboration

Education

Bachelor's degree in Industrial Engineering or related quantitative field

Tools

SQL
Python
R
Tableau
Power BI

Job description

About the Role

Our client is a global leader in advanced manufacturing solutions and is seeking a highly analytical and detail-oriented Remote Manufacturing Process Analyst to join their distributed operations team. This is a unique opportunity to work from anywhere in South Africa, contributing to the optimization of manufacturing processes across various client sites. The successful candidate will be responsible for analyzing production data, identifying inefficiencies, and developing data-driven recommendations for process improvements. You will leverage advanced analytical tools and methodologies to drive efficiency, reduce costs, and enhance quality without needing to be physically present at a specific site. This role requires exceptional analytical skills, a deep understanding of manufacturing principles, and the ability to communicate complex findings effectively to remote stakeholders.

Key Responsibilities
  • Analyze manufacturing data from various sources to identify trends, bottlenecks, and areas for improvement.
  • Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) related to production efficiency, quality, and cost.
  • Design and conduct virtual process studies to evaluate operational performance and identify root causes of issues.
  • Formulate data-driven recommendations for process optimization, automation, and lean manufacturing initiatives.
  • Collaborate closely with remote engineering, operations, and management teams to implement proposed solutions.
  • Stay abreast of industry best practices and emerging technologies in manufacturing process analysis.
  • Document process findings, recommendations, and implementation plans clearly and concisely.
  • Utilize statistical software and data visualization tools for in-depth analysis.
  • Facilitate virtual meetings and present findings to diverse stakeholder groups.
  • Ensure data integrity and accuracy for all analyses conducted.
Requirements
  • Bachelor's degree in Industrial Engineering, Operations Research, Data Science, Statistics, or a related quantitative field.
  • Minimum of 5 years of experience in manufacturing process analysis, industrial engineering, or a related analytical role.
  • Proven expertise in data analysis, statistical modeling, and data visualization tools (e.g., SQL, Python/R, Tableau, Power BI).
  • Strong understanding of manufacturing principles, including Lean Manufacturing and Six Sigma methodologies.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Demonstrated ability to work independently and manage multiple projects remotely.
  • Exceptional written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences.
  • Experience with manufacturing execution systems (MES) or enterprise resource planning (ERP) systems is a plus.
  • Must have a stable internet connection and a dedicated home office setup conducive to remote work.
  • Must be legally eligible to work remotely in South Africa.
Benefits
  • This fully remote position offers a competitive salary, performance bonuses, and flexible working hours.
  • Employees benefit from a generous annual leave allowance, professional development budget for online courses and certifications, and the opportunity to work with a globally recognized company from the comfort of their home.
  • We foster a culture of innovation and collaboration, even in a distributed team setting.
  • Enjoy the autonomy and flexibility of a remote role while making a significant impact on manufacturing processes worldwide.
  • This role provides excellent work-life balance and the chance to grow your career without geographical constraints.
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