Salary
💰 $80,000 - $85,000 per year
Tech Stack
NumpyPandasPython
About the role
- The EV Fleet Analyst will work closely with our Commercial Analytics, Sales, Technical Solutions and Operations teams to successfully design and optimize EV fleet sites.
- Typical objectives include modelling EV fleets and depots for design specification and validation or for optimizing the charging of vehicles, i.e. best use of charger scheduling and grid power to minimize the charging cost for vehicle operators whilst optimizing the overall charging performance and maximizing opportunity for smart-charging and V2G services for additional revenue.
- Delivery of these capabilities cover hypothetical pre-sales modelling for charging feasibility studies through to charging strategy implementation of live sites
- Work with Business Development, Technical Solutions, and directly with customers to simulate initial electrification feasibility through to validating charging performance when signing off final electrical designs and component selection.
- Work with cross-functional teams to effectively optimize operations of EV fleets through simulation & analysis, optimizing charging performance.
- Work with the Business Development and Operations team(s) to provide in-depth modelling insights on fleet sites for both design-phase and live operational projects.
- Work with the Product Management and Engineering team to deploy simulation and analytics capabilities into automated pipelines linked with live data feedback and providing fleet performance insight or adapting future fleet strategies for continual improvement.
- Lead EV fleet simulation activities for all projects in the US and North America, supported by the rest of the global EV analytics team (UK-based).
- Feed back EV fleet simulation requirements to the analysts leading global toolset development.
- Lead US energy market research to allow commercial optimization of projects, feeding back tariff structures to the analysts leading toolset development.
- Continuously develop our analysis processes to increase efficiency and add value to all areas of the business.
- Health and Safety: actively contribute to Zenobe's commitment to health and safety, wellbeing and sustainability by integrating these principles into daily responsibilities, ensuring a safe and supportive work environment, promoting both the physical and mental health of self and colleagues, and adopting sustainable and energy-efficient practices to minimize environmental impact.
Requirements
- Essential competencies: Fluency in English to business-level is mandatory STEM qualification (e.g. engineering, applied physics, data science), 1st or 2-1 [undergrad or equiv.] Technical background with good understanding of the underlying physical principles related to electric vehicles and the energy sector.
- 2+ years of professional experience working at the cutting edge of the EV or renewable energy sector, focusing on modelling, simulation and analysis.
- Python experience (numpy, scipy, pandas, matplotlib, plotly, poetry, GIT and other scientific libraries)
- Excellent mathematical, analytical and problem-solving ability
- Excellent professional communication, reporting and presentation skills
- Customer-facing experience, preferably in a consulting-style environment.
- Excel proficiency
Desirable but non-essential skills: Additional EV experience not limited to design, development, analysis or testing of EVs
- Experience with energy modelling and load shaping up to and including demand charge optimization, demand response/ancillary services, and export programs—either at retail/distribution level or wholesale ISO/grid level;
- Understanding of US tariff structure(s)
- Master’s degree / PhD