Technical Specialist, Fleet Electrification

Smart Freight Centre

Technical Specialist supporting fleet electrification initiatives at Smart Freight Centre by conducting data analysis and developing Python-based solutions for decision-making. Collaborating with partners to drive sustainable logistics.

Posted 6/24/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

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Hard Skills & Tools

data analyticsmodelingquantitative analysisPythondata processingworkflow automationdata visualizationdashboardsanalytical reportseconomic analysis

Soft Skills

analytical skillsquantitative skillscommunication skillscollaborationproject managementprioritizationstakeholder engagementtechnical explanationproblem-solvingdocumentation