Power BI Industrial Engineer

Job Purpose

Key Responsibilities

Data Analysis & Modelling

• Analyse operational, production, supply chain, and business datasets.
• Build performance models, forecasts, and basic statistical analyses.
• Conduct root‑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 cross‑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 in 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

• Bachelor’s Degree in Industrial Engineering (essential).
• Additional qualifications in Data Analytics, Business Intelligence, or Statistics (advantageous).
• Certifications in Power BI, SQL, Lean Six Sigma, Python are beneficial.

Required Skills & Competencies

Technical Skills

• Strong analytical and problem‑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, optimisation).

Soft Skills

• Excellent communication and presentation skills.
• Ability to convert complex data into business‑friendly insights.
• Stakeholder engagement ability at operational and management level.
• High attention to detail and accuracy.
• Ability to manage multiple projects simultaneously.

Experience Requirements (2–5 Years)

• 2–5 years’ experience as a Data Analyst, BI Analyst, Process Analyst, or Industrial Engineer.
• Experience working with operational or supply chain data preferred.
• Demonstrated experience building dashboards and analytical reports.
• Exposure to process improvement or continuous improvement initiatives.
• Experience in manufacturing, logistics, operations, or service environments is advantageous.

6. Key Performance Indicators

• Accuracy, reliability, and quality of reports and insights.
• Improvement in operational KPIs due to analytical recommendations.
• Quality and adoption of dashboards and reporting tools.
• Successful execution of improvement projects.
• Stakeholder satisfaction and cross‑department collaboration.