Data Analyst

at  Octopus Energy Group

What we do. Electric Car Leasing
Why we do it. Greener. Fairer. Future.
At Octopus Electric Vehicles we’re developing a data platform that provides data services to all areas of our business. The aim of the platform is to enable self-service of data analytics of data hungry internal users as well as automation of all our data workflows - from simple ETL jobs to (future) ML training and prediction.
The data team at OEV is a newly established team and is growing at speed. We have invested time and resources on establishing a core data platform, and are now leveraging technology to automate processes and reporting, so we can focus on solving interesting problems and answering complex questions across the whole customer domain - from customer operations to financial modelling. We are looking for an experienced data analyst that is equally passionate about using technology to grow the business and decarbonise the UK’s fleet.
This is a fantastic opportunity to work on data problems that genuinely move us closer to Net Zero with a company that is passionate about building great technology to change the way customers travel sustainably.

ABOUT US

The electric revolution has arrived - and from 2035 you’ll no longer be able to buy a new petrol or diesel car in the UK.
We’re building a whole new way for drivers to join the electric charge and not only learn about and shop for their EV online, but experience a ‘lease for life’ through an industry changing customer experience. This is the chance to join one of the UK’s most exciting start-ups – making it easy for individuals and businesses to go electric by getting their car, charger and energy all in one cracking deal.
Octopus Electric Vehicles launched in 2018 to make it seamless to switch to cleaner, greener driving. Our mission is to drive sustainable change, decarbonise the planet and provide our customers with fair pricing and a fantastic experience.
We’re an Octopus Energy company—an innovative new energy supplier. We are part of the Octopus Energy Group, which seeks to improve the lives of millions of people by transforming the industries we operate in. The Octopus Group incorporates Octopus Energy, Octopus Healthcare, Octopus Investments, Octopus Property, Octopus Ventures and Octopus Labs.

IF THIS SOUNDS LIKE YOU THEN WE’D LOVE TO HEAR FROM YOU.

Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and we’ll do what we can to customise your interview process for comfort and maximum magic!
Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we’re looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone

• Collaborate with other teams to understand their challenges and identify opportunities for using data solutions to improve efficiency and/or drive informed decision making
• Build new data sources and data pipelines that deliver key data and insights to the business (this will include integration with third party systems and ingestion through APIs)
• Build tables and models in DBT that allow less technical users to self-serve and carry out their own reporting and analytics
• Build and maintain automated dashboards and reports that are effective in helping stakeholders monitor key performance indicators and easily make decisions
• Create frameworks and documentation to enable self-serve in the business (e.g. utilising data dictionaries, running onboarding workshops, coaching new users)
• Use data analytics and data science to help us work out what we do well, what we should improve, and what we should do next
• Help shaping the direction of our growing team