Job Description
We are looking for an Industrial engineer to transform operational, production, and business data into actionable insights. This role plays a key part in improving efficiency, optimising processes, supporting strategic decisionmaking, and driving costsaving 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 optimization.
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 optimization.
- 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 nontechnical 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 optimization 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 and cost reductions).
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