Data Analyst - EV Charging - London (Hybrid) - £35k to £55k

ZipRecruiter; London; Hybrid; GBP 35,000 - 55,000; Full time

Job summary

A leading EV charging company in London seeks a Data Analyst to generate actionable insights from data related to their charging network. The role involves data analysis, building reports, and collaborating across departments. The ideal candidate has a background in data science with technical skills in SQL and Python. This position offers a competitive salary and potential career growth into a CTO role, with a hybrid working model.

Benefits

Discretionary annual bonus

Private medical care

Qualifications

• 2+ years’ experience as a Data Analyst or similar role.
• Experience in EV, energy, or mobility sectors is an advantage.
• Ability to communicate complex data clearly.

Responsibilities

• Collect, clean, and analyze data from charging stations.
• Build dashboards and reports to track KPIs.
• Deliver insights for charger placement and load management.

Skills

SQL

Python/R

Data visualization tools

Statistical modeling

Forecasting

Machine learning

Education

Bachelor’s degree in Data Science, Statistics, or related field

Master’s degree (desirable)

Tools

Power BI

Tableau

Looker

Job description

Overview

Data Analyst - EV Charging - London (Hybrid) - £35k to £55k

Role: Data Analyst

Location: London - 3 Days mandatory (Tue/Wed/Thu)

Salary: £35k to £55k

Company Overview

We are a leading UK-based EV charging infrastructure and investment company, backed by over £300M in funding. Our mission is to transform the EV charging landscape by rolling out ultra-fast charging hubs nationwide, supporting the transition to electric mobility.

We operate at the intersection of sustainability, technology, and mobility, using data-driven insights to improve performance, customer experience, and long-term strategy.

The Role

We are seeking a Data Analyst to join our Growth team, working directly with the Chief Growth Officer. This role is central to converting data from our EV charger network into actionable insights that drive smarter business decisions, improve network performance, and support our growth trajectory.

With the right ambition and capability, this role offers a career pathway toward a future CTO position.

Key Responsibilities

• Collect, clean, and analyze data from charging stations, customer applications, usage patterns, and operational systems.
• Build dashboards and reports to track KPIs such as utilization, uptime, revenue, and customer behavior.
• Identify patterns and trends in charging demand, station performance, and energy consumption.
• Deliver insights that support charger placement, load management, predictive maintenance, and growth opportunities.
• Work with teams across operations, product, engineering, and business development to embed data-driven thinking.
• Support strategic initiatives, pricing models, and new product features with ad-hoc analysis.
• Ensure data accuracy, compliance, and integrity across all reporting systems.

Candidate Profile

• Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or related field (Master’s desirable).
• 2+ years’ experience as a Data Analyst or in a similar role (experience in EV, energy, or mobility sectors is an advantage).
• Strong technical skills in SQL, Python/R, and data visualization tools (e.g. Power BI, Tableau, Looker).
• Experience with statistical modeling, forecasting, or machine learning.
• Ability to communicate complex data clearly and drive actionable business outcomes.
• Entrepreneurial mindset, with ambition to grow into leadership and potentially CTO responsibilities.

Package & Benefits

• Salary: £35,000 – £55,000 (depending on experience).
• Location: Office-based, with 3 mandatory in-office days (Tue/Wed/Thu) and up to 5 days optional.
• Career Growth: Potential evolution into a CTO track role.

Benefits

• No benefits during probation.
• After probation: discretionary annual bonus & private medical care.

If this is of interest please apply on LinkedIn or email [e-mail]