Are you good at modelling and data analytics We are seeking a talentedIndustrial Engineer within Logistics.
Job Purpose:To support datadriven 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 rootcause 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 crossfunctional 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:- Bachelors 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 problemsolving 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 businessfriendly insights.
- Stakeholder engagement ability at an operational and management level.
- High attention to detail and accuracy.
- Ability to manage multiple projects simultaneously.
- Experience Requirements (25 Years):
- 25 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.
- 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 crossdepartment collaboration.
Required Experience:
IC
Are you good at modelling and data analytics We are seeking a talentedIndustrial Engineer within Logistics.Job Purpose:To support datadriven decision-making by analysing operational and business data building dashboards and identifying process improvements. This role combines data analytics with ind...
Are you good at modelling and data analytics We are seeking a talentedIndustrial Engineer within Logistics.
Job Purpose:To support datadriven 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 rootcause 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 crossfunctional 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:- Bachelors 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 problemsolving 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 businessfriendly insights.
- Stakeholder engagement ability at an operational and management level.
- High attention to detail and accuracy.
- Ability to manage multiple projects simultaneously.
- Experience Requirements (25 Years):
- 25 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.
- 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 crossdepartment collaboration.
Required Experience:
IC
View more
View less