Remote Manufacturing Process Analyst

Placements24

Randburg

Hybrid

ZAR 420,000 - 600,000

Full time

5 days ago
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Benefits offered by this job

Fully remote work
Health insurance
Professional development
Data-driven culture

Job summary

Placements24 is seeking a highly analytical Remote Manufacturing Process Analyst to support operations from a distance. You will analyze manufacturing data, identify trends, and provide insights to improve efficiency and product quality across facilities, including the Randburg site, while collaborating virtually with on-site teams to implement recommended changes.

The ideal candidate holds a degree in engineering or data science, has practical analytics experience in manufacturing, and is

Qualifications

  • Bachelor's degree in Engineering, Statistics, Data Science, or related field.
  • Experience as a Process Analyst, Data Analyst, or similar role in a manufacturing setting.
  • Proficiency in data analysis software (Excel, SQL, Python, R) and BI tools (Tableau, Power BI).

Responsibilities

  • Collect, analyze, and interpret manufacturing data from various sources to identify trends and areas for improvement.
  • Develop reports and dashboards to visualize KPIs and process metrics.
  • Collaborate virtually with plant managers, engineers, and production staff to understand challenges and propose solutions.
  • Recommend process optimizations and efficiency improvements based on data-driven insights.
  • Support the implementation of new technologies and methodologies to enhance manufacturing operations.
  • Maintain data integrity and ensure accurate reporting for decision-making.

Skills

Analytical thinking
Problem solving
Independent worker
Remote communication

Education

Bachelor's degree in Engineering, Statistics, Data Science, or related field

Tools

Excel
SQL
Python
R
Tableau
Power BI

Job description

About the Role

Our client is seeking a highly analytical and self-motivated Remote Manufacturing Process Analyst to support their operations remotely. This role focuses on analyzing manufacturing data, identifying trends, and providing insights to improve process efficiency and product quality across various facilities, including their Randburg site. You will work independently, utilizing data analysis tools and collaborating virtually with on-site teams to implement recommended changes. This is an excellent opportunity for an experienced analyst who thrives in a remote work environment and wants to drive impactful improvements in manufacturing performance.

Key Responsibilities
  • Collect, analyze, and interpret manufacturing data from various sources to identify trends and areas for improvement.
  • Develop reports and dashboards to visualize key performance indicators (KPIs) and process metrics.
  • Collaborate virtually with plant managers, engineers, and production staff to understand challenges and propose solutions.
  • Recommend process optimizations and efficiency improvements based on data-driven insights.
  • Support the implementation of new technologies and methodologies to enhance manufacturing operations.
  • Maintain data integrity and ensure accurate reporting for decision-making.
Requirements
  • Bachelor's degree in Engineering, Statistics, Data Science, or a related field.
  • Proven experience as a Process Analyst, Data Analyst, or similar role in a manufacturing setting.
  • Proficiency in data analysis software (e.g., Excel, SQL, Python, R) and BI tools (e.g., Tableau, Power BI).
  • Strong understanding of manufacturing processes and lean principles.
  • Excellent analytical, critical thinking, and problem-solving skills.
  • Ability to work independently, manage time effectively, and communicate results clearly in a remote setting.
Benefits
  • Competitive salary and performance-based incentives.
  • Fully remote work arrangement offering flexibility.
  • Comprehensive health, dental, and vision insurance.
  • Professional development opportunities and access to online training.
  • A culture that supports innovation and data-driven decision-making.
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