Business Analyst; Industrial Engineer

Job category: Others:
Transport and Logistics

Location: Cape Town

Contract: Permanent

EE position: No

Picup, a last-mile delivery and technology-focused company, powered by a scalable crowd-sourced driver network, seeks an analytical Industrial Engineer who combines process optimization expertise with data analysis capabilities to drive improvements in our last-mile delivery operations. This role bridges operational excellence with data-driven decision making by applying industrial engineering to last-mile delivery.

• 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.

• 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.

• 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.

• 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.

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

• Bachelor's degree in Industrial Engineering
• 5-7 years of experience in process improvement or operations analysis.
• A big plus:
  Experience is combination of Supply Chain / Logistics and Startup Technology related businesses
• Strong analytical and structured problem-solving skills
• Proven process and systems modelling experience
• Excellent time management and prioritization skills
• Proficiency in data extraction and analysis using Microsoft Excel / Google Sheets and SQL
• Extensive experience with process mapping and optimization
• Basic understanding of statistical analysis principles
• Visualise complex information using graphs and other visualisations
• Good understanding of Programming and Software Engineering concepts
• Excellent client engagement and expectation management skills

• Process mapping and optimization tools e.g. Visio, Lucidchart - intermediate to advanced
• Microsoft Excel / Google Sheets - intermediate to advanced
• SQL (Structured Query Language) - basic to intermediate
• A Plus: GIS (Geographic Information System) experience e.g. ArcGIS, QGIS - basic