Technical Specialist, Fleet Electrification

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Smart Freight Centre

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51 - 200 employees

Smart Freight Centre (SFC) was established in 2013 as a global non-profit organization and aims to make the global freight sector more efficient and environmentally sustainable.

📋 Description

• Gather, clean, validate, and organize operational, fleet, route, and infrastructure data across multiple projects. • Develop, maintain, and improve total cost of ownership (TCO), emissions, operational, and economic models to support fleet electrification decision-making. • Develop and automate analytical workflows using Python to improve efficiency, consistency, and scalability. • Update and maintain key model inputs including energy prices, incentives, emissions factors, vehicle performance assumptions, and infrastructure costs. • Conduct scenario analysis and sensitivity testing to evaluate fleet deployment strategies and investment opportunities. • Identify inefficiencies in current analytical processes and implement practical improvements to increase scalability and repeatability. • Maintain clear documentation of data sources, assumptions, methodologies, and analytical approaches. • Support the transition of existing Excel-based analytical tools and processes into more scalable Python-based solutions where appropriate. • Translate complex analytical outputs into clear, actionable insights for technical and non-technical audiences. • Develop visual outputs including dashboards, maps, charts, tables, and presentations. • Support reporting and analytical deliverables for customers, partners, funders, and stakeholders. • Develop presentations and technical materials to communicate findings and recommendations effectively. • Present analytical findings during stakeholder meetings, workshops, conferences, and industry events. • Work closely with project managers and technical experts to integrate analytical insights into project delivery. • Support demand aggregation, procurement, ecosystem engagement, and fleet deployment activities through data-driven analysis. • Participate actively in project and stakeholder meetings, providing technical input and analytical expertise. • Contribute to analytical materials supporting RFPs, site-level assessments, deployment planning, and strategic initiatives. • Collaborate with external partners, consultants, and industry stakeholders to ensure analytical consistency and quality across projects.

🎯 Requirements

• 3–5 years of experience in data analytics, modeling, or quantitative analysis, preferably within transportation, energy, logistics, sustainability, or related sectors. • Strong analytical and quantitative skills, including economic, operational, or emissions analysis. • Proficiency in Python for data processing, analysis, modeling, and workflow automation. • Advanced proficiency in Microsoft Excel. • Experience creating data visualizations, dashboards, and analytical reports. • Strong communication skills, with the ability to explain technical concepts to diverse audiences. • Ability to manage multiple priorities and collaborate effectively in cross-functional and multi-stakeholder environments. • Bachelor’s degree in engineering, Transportation, Environmental Science, Economics, Data Analytics, Mathematics, Statistics, or a related quantitative discipline.

🏖️ Benefits

• 27 days of holiday • 10 public holidays • Unlimited access to Coursera and other learning opportunities • Full access to OpenUp for mental health support • Work from home options