Analyzes freight data to improve logistics and operations.● Data Analysis & Reporting: Analyse complex datasets to extract meaningful insights and trends that inform business decisions. ● Pivot Tables: Utilize pivot tables in Excel and other software to organise, summarise, and present data efficiently. ● Mathematical Modelling: Apply advanced mathematical concepts to develop models that predict outcomes, optimise processes, and solve business problems. ● Data Visualisation: Create clear and concise data visualisations using tools such as Tableau, Power BI, or similar platforms. ● Collaboration: Work closely with cross-functional teams, including finance, marketing, and operations, to support data needs and provide actionable insights. ● Data Quality: Ensure the accuracy, integrity, and consistency of data by conducting regular audits and implementing data quality processes. ● Australian Market Focus: Leverage your understanding of the Australian market to contextualise data insights and recommendations for local relevance.