Remote Manufacturing Analytics Specialist

Placements24

LegKraal Gate

Hybrid

ZAR 420,000 - 700,000

Full time

5 days ago
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Benefits offered by this job

Fully remote work
Flexible working hours
Annual home office stipend
Health insurance availability
Professional development opportunities

Job summary

Placements24 is seeking a highly analytical Remote Manufacturing Process Analyst to optimize production through data-driven insights. The role focuses on analyzing diverse manufacturing datasets, building dashboards and driving improvements across production lines.

You will work closely with plant managers and engineers remotely, delivering actionable recommendations and ensuring data integrity. A strong quantitative background and experience with SQL, Python, and BI tools are essential for

Qualifications

  • Bachelor's degree in a quantitative field with strong data analytics Foundation
  • Proven ability to analyze large manufacturing datasets and extract insights
  • Experience with SQL, Python (Pandas), R, Excel advanced functions and BI tools
  • Excellent communication and cross-functional collaboration skills

Responsibilities

  • Analyze manufacturing data to identify patterns and opportunities for process improvement
  • Develop data collection and reporting methodologies and dashboards for KPIs
  • Collaborate with on-site teams remotely to understand operational challenges
  • Provide data-driven recommendations for optimization, cost reduction and quality enhancements
  • Support development and deployment of new manufacturing processes or technologies

Skills

SQL
Python (Pandas)
Tableau/Power BI
Statistics
Remote collaboration

Education

Bachelor's degree in Industrial Engineering / Statistics / Data Science / Operations Research

Tools

SQL
Python
Excel

Job description

Placements24 is seeking a highly analytical Remote Manufacturing Process Analyst to optimize production through data-driven insights. The role focuses on analyzing diverse manufacturing datasets, building dashboards and driving improvements across production lines.

You will work closely with plant managers and engineers remotely, delivering actionable recommendations and ensuring data integrity. A strong quantitative background and experience with SQL, Python, and BI tools are essential for

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