Business Analyst (Industrial Engineer)
Cartrack Pty Ltd · Cape Town
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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