Industrial Engineer

Recruiter:

Network Recruitment

Job Ref:

NPr003221/Sam

Date posted:

Friday, January 30, 2026

Location:

Cape Town, South Africa

SUMMARY:

Data Analyst – Industrial Engineering Focus

POSITION INFO:
Department: Data & Analytics
Reporting to: Procurement Manager
Location: Somerset West, Western Cape

About the Role

We are looking for a detailâdriven Data Analyst with an Industrial Engineering background to transform operational, production, and business data into actionable insights. This role plays a key part in improving efficiency, optimising processes, supporting strategic decisionâmaking, and driving costâsaving initiatives across the organisation.
You will combine data analytics expertise with industrial engineering methodologies to support continuous improvement, enhance operational performance, and ensure data-driven optimisation.

Key Responsibilities

Gather, validate, and interpret data from various operational systems.
Create intuitive dashboards and automated reports using Power BI, Tableau, or Excel.
Conduct trend, variance, and performance analyses to support business decisions.
Identify bottlenecks and inefficiencies using statistical methods and modelling.
Perform workflow studies, capacity analysis, and time & motion assessments.
Apply Lean, Six Sigma, and Kaizen principles to support process optimisation.
Provide data-backed recommendations to enhance processes and reduce waste.
Build and maintain forecasting and predictive models.
Collaborate closely with multiple business units to understand operational needs.
Communicate insights clearly and effectively to technical and nonâtechnical stakeholders.

Required Qualifications

Bachelor’s degree in Industrial Engineering (mandatory).
Certifications in Data Analytics, BI tools, SQL, or Python are beneficial.
Minimum 4 years’ experience in industrial engineering, data analytics, or a related optimisation environment.

Technical Skills

Advanced proficiency in Power BI, Tableau, and Excel.
Working knowledge of SQL, Python, or R is advantageous.
Strong understanding of Lean methodologies, process mapping, and VSM.
Skilled in statistical analysis, including regression and forecasting.
Experience with ERP or MES platforms such as SAP, Syspro, or Oracle.

Competencies

Exceptional analytical and critical-thinking capabilities.
High level of accuracy and attention to detail.
Strong communication and presentation skills.
Ability to manage and prioritise multiple projects.
A natural drive for continuous improvement and operational excellence.

Key Performance Indicators

- Accuracy, quality, and timeliness of reports and dashboards produced.
- Demonstrated impact of data-driven process improvements (efficiency gains, cost reductions).

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