+ Assist in Transport Planning projects including but not limited to transport assessments, business cases, public transport, active travel projects, etc. + Support collecting, cleaning, and analysing large datasets, including traffic, travel demand, and geospatial data. + Develop data-driven insights to support transport planning, modelling, and policy decisions. + Utilize Python, Power BI, and Excel for statistical analysis, data visualization, and reporting. + Perform spatial data analysis and visualization using ArcGIS Pro and ArcGIS Online. + Create and manage geospatial content, including maps, apps, and data, using Survey123 and Story Map. + Prepare technical reports, dashboards, and presentations for stakeholders. + Automate data workflows and improve efficiency using scripting and programming. + Analyze and interpret complex datasets to identify trends, patterns, and insights. + Develop and maintain interactive dashboards and reports using Power BI and other visualization tools. + Collaborate with cross-functional teams to understand data requirements and deliver actionable insights. + Implement and manage data workflows and automation using Power Platform and Azure Cloud Services. + Ensure data quality and integrity through rigorous validation and transformation processes. + Support the management and timely completion of assigned tasks while maintaining high-quality standards. + Communicate findings and recommendations effectively through clear, concise reports and presentations. + Work within project constraints, such as time, budget, and resources, ensuring efficient project delivery. + Assist in mentoring and supporting graduate members of the team. + Engage in regular collaboration with UK-based transport planners and project teams. + Ensure Health & Safety is embedded into all work practices, following company policies. + Master’s degree in Transport Planning, Civil Engineering, Data Science, or a related field. + Strong analytical skills with experience in Python, Power BI, and SQL for data analysis. + Proficiency in GIS tools (ArcGIS, QGIS) for spatial data analysis and mapping. + Excellent knowledge of transport datasets, modelling techniques, and statistical methods. + Familiarity with transport modelling software (e.g., SATURN, VISUM, VISSIM, LinSig) is a plus. + Experience in data automation, cloud computing (Azure, AWS), and Power Platform is desirable. + Strong written and verbal communication skills in English. + Ability to work independently with minimal guidance while managing multiple tasks efficiently. + A proactive, detail-oriented, and problem-solving mindset.