Remote Industrial Data Engineer - Analytics & Optimization

Placements24; East London; Hybrid; ZAR 1,468,000 - 2,447,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Home office allowance

Flexible hours

Global projects

Job summary

Placements24 seeks a Remote Industrial Engineer specializing in Data Analytics and Optimization. You will analyze large datasets, build predictive models, and implement data-driven strategies to improve efficiency, reduce costs, and boost productivity on a global scale.

The role offers flexible hours and the opportunity to work with cross-functional teams to drive continuous improvement from anywhere. Strong analytics, communication, and remote collaboration skills are essential.

Qualifications

• Master's degree in a quantitative field.
• Minimum of 5 years of industrial engineering experience with a data analytics focus.
• Proficiency in Python, R, and SQL for data analysis.

Responsibilities

• Collect, clean, and analyze large datasets from industrial processes.
• Develop predictive models and optimization solutions.
• Design dashboards to visualize KPIs and insights.
• Collaborate remotely with teams to translate findings into actions.
• Identify inefficiencies and propose data-driven improvements.
• Stay updated on data analytics, AI, and industrial engineering best practices.

Skills

Python

R

SQL

Machine Learning

Optimization

Communication

Presentation

Education

Master's degree in Industrial Engineering, Data Science, Statistics, or related quantitative field

Tools

Tableau

Power BI

Job description

Placements24 seeks a Remote Industrial Engineer specializing in Data Analytics and Optimization. You will analyze large datasets, build predictive models, and implement data-driven strategies to improve efficiency, reduce costs, and boost productivity on a global scale.

The role offers flexible hours and the opportunity to work with cross-functional teams to drive continuous improvement from anywhere. Strong analytics, communication, and remote collaboration skills are essential.