Business Analyst (Industrial Engineer)

Introduction 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. Duties & Responsibilities 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 Desired Experience & Qualification Required Qualifications:●       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 Competencies:●       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 Technical 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●       Data visualization tools e.g. Looker Studio, Tableau, Power BI - basic●       A Plus: GIS (Geographic Information System) experience e.g. ArcGIS, QGIS - basic