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EV Optimisation Analyst
Employer undisclosedRole managed by a recruiter
Analyze and optimise EV charging network performance using data and predictive models.
6d ago
Intermediate (4-7 years), Experienced (8-12 years), Expert & Leadership (13+ years)
Full Time
London Area, United Kingdom
Hybrid
Role
What you would be doing
predictive modelling
tariff analysis
performance metrics
data pipelines
dashboard development
network monitoring
- Build predictive models to forecast demand growth, charging behavior, and energy costs to support investment decisions and DNO capacity planning.
- Analyse tariff structures, grid costs, and energy consumption to optimise site profitability and sustainability.
- Work closely with network operations, engineering, fleet, and property teams to align insights with strategic site development and asset optimisation.
- Develop new metrics and frameworks for measuring performance, including carbon impact, utilisation per connector, and return on infrastructure investment.
- Track utilisation, uptime, session duration, and throughput across the EV charging network using data from charge point management systems (CPMS), telemetry, and CRM tools.
- Identify underperforming sites and propose actionable improvements related to energy supply, pricing, location, or equipment configuration.
- Develop and maintain data pipelines, dashboards, and automated reports using BI tools (Power BI, Tableau, or Looker) to visualise KPIs for stakeholders across operations, commercial, and engineering teams.
- Monitor & Analyse Network Performance:
What you bring
machine learning
real-time data
ev charging
data analyst
degree
problem solving
- Ability to translate data insights into actionable business recommendations.
- Knowledge of EV charging infrastructure, OZEV grant schemes, or CPMS platforms.
- Experience working with large, real-time datasets.
- Familiarity with machine learning or predictive analytics for demand forecasting.
- Degree in a relevant field (Data Science, Engineering, Economics, or similar).
- Proven experience as a Data Analyst, ideally within EV charging, renewable energy, or utilities.
- Experience with energy pricing, load balancing, or DNO connection capacity data.
- Strong analytical and problem-solving skills with attention to detail.
Information not given or found
Training + DevelopmentInformation not given or found
Interview process
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Security clearanceInformation not given or found
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Your recruiter
Your recruiting firm
- Founded in 2015 and headquartered in London, Piper Maddox has grown into a global clean-energy recruitment specialist.
- Born to serve the renewable transition, it places professionals in solar, wind, storage, hydrogen, and e-mobility projects.
- Their footprint spans major clean-tech hubs: UK, Benelux, Nordics, DACH, North America, and now expanding in Miami.
- They maintain niche divisions—solar, storage, hydrogen—each led by dedicated specialists, delivering deep domain hiring.
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