Technical Specialist, Fleet Electrification

This is a fully remote position, open to applicants in United States.

📋 Description

• Collect, cleanse, validate, and structure operational, fleet, route, and infrastructure data across various projects.

• Create, sustain, and enhance total cost of ownership (TCO), emissions, operational, and economic models to aid in fleet electrification decision-making.

• Design and automate analytical workflows utilizing Python to boost efficiency, consistency, and scalability.

• Update and manage crucial model inputs such as energy prices, incentives, emissions factors, vehicle performance assumptions, and infrastructure costs.

• Perform scenario analysis and sensitivity testing to assess fleet deployment strategies and investment opportunities.

• Detect inefficiencies in existing analytical processes and implement effective enhancements to promote scalability and repeatability.

• Keep comprehensive documentation of data sources, assumptions, methodologies, and analytical approaches.

• Assist in transitioning current Excel-based analytical tools and processes into more scalable Python-based solutions when suitable.

• Convert intricate analytical results into clear, actionable insights for both technical and non-technical audiences.

• Create visual outputs such as dashboards, maps, charts, tables, and presentations.

• Aid in reporting and analytical deliverables for customers, partners, funders, and stakeholders.

• Develop presentations and technical materials to effectively communicate findings and recommendations.

• Present analytical results during stakeholder meetings, workshops, conferences, and industry events.

• Collaborate closely with project managers and technical experts to integrate analytical insights into project execution.

• Support demand aggregation, procurement, ecosystem engagement, and fleet deployment activities through data-driven analysis.

• Actively participate in project and stakeholder meetings, providing technical input and analytical expertise.

• Contribute to analytical materials that support RFPs, site-level assessments, deployment planning, and strategic initiatives.

• Work in partnership with external collaborators, consultants, and industry stakeholders to ensure analytical consistency and quality across all projects.

⛳️ Requirements

• 3–5 years of experience in data analytics, modeling, or quantitative analysis, ideally in transportation, energy, logistics, sustainability, or related fields.

• Strong analytical and quantitative capabilities, encompassing economic, operational, or emissions analysis.

• Proficient in Python for data processing, analysis, modeling, and workflow automation.

• Advanced skills in Microsoft Excel.

• Experience in creating data visualizations, dashboards, and analytical reports.

• Excellent communication abilities, with a knack for explaining technical concepts to diverse audiences.

• Capacity to manage multiple priorities and collaborate effectively in cross-functional and multi-stakeholder settings.

• 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