About the Role We are seeking a data-driven Route & Fleet Optimisation Manager to improve operational efficiency across a collection and delivery network. This role is suited to an analytical professional with experience in data analysis and operations, ideally within logistics, transport, fleet management or supply chain environments. You will use data, technology and performance insights to optimise routes, reduce costs, improve vehicle utilisation and enhance service reliability.
Key Responsibilities
Analyse operational data to identify inefficiencies, trends and opportunities for cost savings.
Develop dashboards and reports tracking KPIs, including vehicle utilisation, fuel consumption, cost per kilometre, productivity and service performance.
Use data modelling and scenario analysis to improve route planning, fleet allocation and operational efficiency.
Identify opportunities to reduce mileage, fuel costs, vehicle downtime and emissions.
Work with Operations, Finance, IT and Commercial teams to translate analytical insights into practical improvements.
Support the use of route planning software, telematics and fleet management systems.
Explore AI, automation and predictive analytics to enhance forecasting and operational decision-making.
Monitor improvement initiatives, measure results and present recommendations to senior stakeholders.
Requirements
At least five years' experience in data analysis, operational analytics, logistics, transport planning or a related field.
Strong analytical skills and the ability to turn complex data into actionable business insights.
Experience with Power BI, Tableau, advanced Excel or similar reporting tools; SQL experience is advantageous.
Understanding of operational processes, cost drivers and performance metrics.
Proven ability to identify inefficiencies and deliver measurable improvements.
Strong communication, problem-solving and stakeholder management skills.
Desirable
Experience with AI, machine learning, predictive analytics or route optimisation.
Knowledge of fleet management systems, telematics, GPS or GIS mapping.
Experience in waste management, logistics, utilities or distribution.
Familiarity with Python, Lean or Six Sigma methodologies.
The Opportunity An opportunity to drive data-led improvements, introduce innovative technologies and deliver measurable gains in operational performance, productivity and cost efficiency.
