Remote Industrial Engineer: Data Analytics & Modeling

Placements24

Upington

Hybrid

ZAR 900,000 - 1,200,000

Full time

4 days ago
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Job summary

Placements24 is seeking a remote Industrial Engineer with a strong background in data analytics and process modeling. You will transform raw operational data into actionable insights and build advanced models to drive data-informed decisions.

The role emphasizes collaboration with distributed teams, development of dashboards, and continuous improvement initiatives in a remote-first environment. You will also design simulations, validate results, and communicate findings clearly to stakeholders.

Qualifications

  • Bachelor's or Master's degree in a quantitative field (Industrial Engineering, Statistics, Data Science) with a strong data analytics focus.
  • Minimum 5 years of experience in industrial engineering emphasizing data analytics, statistical modeling, and process simulation.
  • Proficiency in statistical software and data visualization tools (Python/R, Tableau/Power BI) and exposure to simulation tools.
  • Excellent analytical, communication, and remote collaboration skills.

Responsibilities

  • Collect, clean, and analyze large datasets from operational sources to identify trends and insights.
  • Develop and validate advanced process models, simulations, and predictive analytics to optimize performance.
  • Design and implement data visualization dashboards to communicate findings to stakeholders.
  • Collaborate remotely with teams to translate business needs into analytical projects.
  • Document methodologies, findings, and recommendations clearly.

Skills

Industrial engineering background
Data analytics
Statistical modeling
Problem solving

Education

Bachelor's or Master's in Industrial Engineering or related

Tools

Python
R
Tableau
Power BI
Arena
AnyLogic
SPSS

Job description

Placements24 is seeking a remote Industrial Engineer with a strong background in data analytics and process modeling. You will transform raw operational data into actionable insights and build advanced models to drive data-informed decisions.

The role emphasizes collaboration with distributed teams, development of dashboards, and continuous improvement initiatives in a remote-first environment. You will also design simulations, validate results, and communicate findings clearly to stakeholders.

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