Job Summary
We are seeking a detail-oriented, analytical and results-driven Fleet Analyst to support operational decision-making through the collection, analysis, interpretation and reporting of fleet and logistics data.
The successful candidate will analyse fleet performance, vehicle utilisation, fuel consumption, driver productivity, maintenance activities, operational costs and service delivery metrics to identify trends, inefficiencies and opportunities for improvement.
The role requires a strong understanding of data analysis, reporting and visualisation, as well as the ability to translate complex operational data into meaningful insights that support business performance, cost optimisation and operational excellence.
Key Responsibilities
- Collect, validate and analyse fleet and operational data to ensure accuracy and reliability.
- Monitor key fleet performance indicators, including vehicle utilisation, fuel consumption, mileage, turnaround time, maintenance costs and driver productivity.
- Prepare periodic performance reports, dashboards and visualisations to support management decision-making.
- Analyse fleet operating costs, vehicle downtime, trip performance and resource utilisation, identifying opportunities for cost optimisation.
- Track performance against operational targets and service-level agreements, identifying trends, variances and areas for improvement.
- Collaborate with fleet operations, dispatch, maintenance and other teams to resolve data discrepancies and improve operational efficiency.
- Maintain accurate fleet databases and reporting systems, leveraging Excel, Power BI, GPS tracking and fleet management tools to enhance data quality and reporting processes.
Required Skills and Competencies
- Strong analytical, numerical and problem-solving skills.
- Advanced proficiency in Microsoft Excel, including PivotTables, lookup functions, data cleaning and reporting.
- Experience with data visualisation tools such as Power BI or Tableau.
- Ability to interpret data and communicate insights clearly.
- Strong attention to detail and commitment to data accuracy.
- Good report-writing and presentation skills.
- Ability to manage multiple reporting deadlines.
- Strong collaboration and communication skills.
- Ability to identify trends, investigate variances and recommend practical solutions.
- Understanding of operational performance metrics and business processes.
Academic Qualifications and Experience
- Bachelor’s degree or HND in Data Analytics, Statistics, Mathematics, Computer Science, Economics, Logistics, Supply Chain Management or a related discipline.
- Minimum of 2–5 years’ experience in data analysis, business intelligence, operations analysis or a related role.
- Demonstrable experience in data analysis, reporting and dashboard development.
- Experience working in logistics, transportation, fleet management or supply chain operations will be an advantage.
- Knowledge of SQL, Python or other data analysis tools will be an added advantage.
- Familiarity with fleet management systems, GPS tracking platforms or transport management systems will be an advantage.
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