​Data Analyst

Location: London Bridge

Salary: £30,000

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The Green Recruitment Company are delighted to be supporting our client, one of the leading EV charging infrastructure businesses in the UK. Our client’s focus is a transition to emission-free transport. They are a rapid growing company whose mission is to provide convenient and reliable EV charging (100% renewable chargers) throughout the UK.

For the role of data analyst, they are looking for a fresh graduate who has exceptional analytical and evaluative skills, alongside excellent communication skills to build strong relationships across clients and external partners.

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Main responsibilities:

• Assistance with revenue analysis and reconciliation by payment type, creating and updating financial models.

• Managing internal UK EV market knowledge base and data – including, but not limited to; EV sales, EV brands and charging/battery technological developments and capabilities.

• Assistance with preparation of monthly market updates for the wider business and to support wider team with analysis projects.

• Form relationships with and provide on-going support for partners.

• Work with the Operations and Technology teams to highlight any technical issues that have been raised by partners and track the progress of solutions to keep partners in the loop.

• Assist with preparation of tender responses for new roaming/fleet opportunities

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Requirements:

• Degree or background in STEM/engineering/maths degree

• Highly analytical and keen problem solver

• Strong work ethic with a can-do attitude and the desire to work in a fast paced, rapidly growing, company and sector

• Excellent communication skills and ability to build strong working relationships across various business units and with key external partners

• Inquisitive, not afraid of the unknown and a willingness to learn

• Comfortable with entire MS suite – with an advanced knowledge of Excel and PowerPoint being highly desirable

• Passionate about technology with a STEM background being highly desirable

• Financial modelling experience is highly desirable