BUSINESS ANALYST (INDUSTRIAL ENGINEER)

Key Responsibilities:

Process Analysis & Optimization:

• Apply industrial engineering principles to analyse and optimize delivery operations.
• Use insights and results derived from historical delivery data to optimize future operations.
• Incorporate geospatial and operational simulation results into recommendations.
• Identify correlations between different operational variables and performance outcomes.
• Monitor and analyse KPIs related to delivery performance, fleet utilization, and operational costs.
• Develop deep operational knowledge of our delivery platforms and systems to inform improvement recommendations.
• Design and maintain methodology of a Client Prioritisation Scoring Matrix system.
• Directly contribute to initiatives in modelling feasibility, risks, impact and suggest recommendations.
• Stay current on last-mile delivery and technology trends to benchmark and inform strategies.
• Investigate internal processes to identify areas of waste and ways of improving.

Data Analysis & Insights:

• Collaborate with Data and technology stakeholders to gather operational data.
• Write SQL queries to extract operational and spatial data for analysis.
• Perform exploratory data analysis to identify patterns and trends in delivery performance.
• Track and evaluate ROI (Return On Investment) of initiatives and new processes.
• Generate reports for process-level performance, KPI’s, SLA’s and success metrics.

Stakeholder Management & Communication:

• Prepare and present analytical findings and recommendations to leadership and other stakeholders.
• Collaborate with operations teams to implement process improvements.
• Collaborate with the Data and Data Engineering stakeholders to ensure data accessibility.
• Prepare and maintain business proposals, process documentation, and analytical methodologies.
• Manage multiple projects simultaneously while meeting deadlines.
• Communicate complex analytical findings to non-technical stakeholders.

Technical Implementation:

• Develop process simulation models, cost-benefit models and capacity models.
• Create and maintain process flow diagrams, model documentation, and documentation for existing and proposed workflows.
• Support the integration of analytical findings into operational procedures.
• Ensure compliance with data privacy regulations, logistics standards and safety protocols.

Ad Hoc:

• Support capacity planning and resource allocation initiatives.
• Ad hoc analysis, queries, and business support