Power BI Industrial Engineer

Description:

The Job's Purpose:
To support dataâ??driven decision-making by analysing operational and business data, building dashboards, and identifying process improvements. This role combines data analytics with industrial engineering methodology to improve efficiency, reduce waste, and enhance overall business performance in Logistics.

Key Responsibilities:

• Data Analysis & Modelling:
• Analyse operational, production, supply chain, and business datasets.

Build performance models, forecasts, and basic statistical analyses. Conduct rootâ??cause analysis using data-driven insights. Identify patterns, gaps, and efficiency opportunities. Reporting & Visualisation: Build and maintain dashboards in Power BI / Tableau / Qlik. Develop automated reporting processes. Present insights clearly to management and crossâ??functional teams. Track and measure KPIs and operational performance. Process Improvement (Industrial Engineering Focus): Apply Lean, Six Sigma, workflow mapping, and IE tools to analyse processes. Assist with designing and implementing improvement solutions. Support optimisation projects, such as throughput improvement, cost reduction, layout optimisation, etc. Conduct time & motion studies where necessary. Data Management & Governance: Clean, validate, and maintain data quality. Collaborate with IT/data teams to improve data structures. Document datasets, dashboards, and analytical processes. Cross-Functional Collaboration: Work closely with Operations, Finance, Supply Chain, and IT. Support project teams with quantitative analysis. Contribute to continuous improvement initiatives and action planning.
Minimum Qualifications:
Bachelorâ??s Degree in Industrial Engineering (essential). Additional qualifications in Data Analytics, Business Intelligence, or Statistics (advantageous). Certifications in Power BI, SQL, Lean Six Sigma, and Python are beneficial.
Required Skills & Competencies:
Technical Skills: Strong analytical and problemâ??solving ability. Advanced Excel. Power BI / Tableau / Qlik dashboarding experience. SQL for querying and data extraction. Python or R exposure (beneficial). Industrial engineering tools (Lean, Six Sigma, mapping, and optimisation). Soft Skills: Excellent communication and presentation skills. Ability to convert complex data into businessâ??friendly insights. Stakeholder engagement ability at an operational and management l