Senior EV Data Analyst

at  Zenob

ABOUT ZENOBE

Our goal is to make clean power accessible, to accelerate the shift to zero carbon power and transport.
We’re building and operating the world’s most sophisticated battery systems to enable the uptake of more renewable power and accelerating fleet electrification, de-risking the transition to zero-emission transport at scale. We’ve been consistently innovative since we were founded in 2017, achieving major industry firsts and using proprietary software and data analysis to optimise operational performance for our customers. At the end of their life, we repurpose electric vehicle batteries to provide clean power at depots, on construction sites and film sets.
Today we have 730 MW of grid scale battery storage operational and under construction and are the largest owner and operator of EV buses in the UK, Australia and New Zealand, supporting over 1,000 electric vehicles worldwide. In our first five years we have raised nearly £1.8 billion in funding and have expanded into other markets such as the US. Our rapidly growing company is looking for highly talented and motivated people to join us.

THE OPPORTUNITY

We are looking for a talented data analyst or data scientist to join our EV Analytics team within the broader Commercial Analytics group. The candidate will be part of a team aimed at providing top quality modelling, optimisation and data insights from our EV fleets with a focus on extracting maximum value from Zenobē’s assets. Accurate, insightful and readily available data is at the core of our offering, underpinning all of the design and operational optimisation carried out by the team – this role’s key responsibility is provision of this critically important data.
In this role you will be working closely with our Product and Engineering (Software, Data, Platform) teams in developing our data platform upon which all internal and external data uses are built. You will also be responsible for developing calculations for key data insights and faced with the overall challenge of extracting maximum value from our data.
This is a great opportunity for someone looking to expand their data analytics and software skills, while getting significant exposure to both business stakeholders and other technical experts across the company. The role could suit someone from a range of backgrounds including data analytics, data science, data engineering and software engineering – the common thread being an excellent feel for good data and an attention to detail. You may be a software engineer looking to get more into data and analytics, or an experienced analyst wanting to focus more on software practices.
You will be responsible for defining the transformation logic of our EV telematics and charging data so a good understanding of these domains and the underlying physics is a real plus. Longer term responsibilities include ownership of deriving new data features and metrics for providing valuable insight through reports, customer-facing portals and models.

WHAT WE’RE LOOKING FOR

We realise that certain groups of people are less likely to apply for a role if they don’t meet 100% of the job requirements. To be absolutely clear: if you like the look of this job and think you could do it well, we encourage you to apply with a CV that highlights your transferable skills and experience. Above all, Zenobē is looking for collaborative, flexible, empathetic people who are interested in creating and promoting practical routes to a zero carbon world.
The ideal candidate will be a technically-minded individual with a passion for Python-based data-driven analytics, optimisation and software. They should be an aspiring individual looking to take technical ownership of EV data excellence, becoming a key advocate for good quality, highly insightful and value-adding data in the business.

Essential skills, qualifications & experience:

• STEM degree (e.g. engineering, applied physics, data science, software)
• 3+ years of relevant professional experience working in a tech / engineering sector on data, analytics and software topics, preferably in an EV or energy-adjacent domain.
• 5+ years experience with Python (numpy, scipy, pandas, matplotlib, plotly, poetry, scikit-learn and other scientific libraries)
• Direct data science experience, preferably with a focus on data preparation, transformation and feature engineering but machine learning modelling is also a bonus.
• Solid SDLC and collaborative software practices including GIT for version control, testing, CICD, environment management, Docker etc.
• A commitment to good development practices and clean code
• Experience with visualisation tools such as Streamlit, PowerBI or Grafana.
• A working knowledge of data engineering, cloud platform and software development
• Excellent mathematical, analytical and problem-solving ability.
• Excellent professional communication, reporting and presentation skills
• Ability to lead technical areas and projects, becoming a pioneer in their field of expertise
• Experience with cloud providers and cloud infrastructure deployment (preferably AWS, CDK).

Desirable but non-essential skills:

• Additional full-stack, data engineering or platform experience.
• Additional EV experience not limited to design, development, analysis or testing of EV systems (i.e. automotive engineering)
• PhD in a relevant field of engineering or data science

• Defining and developing data processing logic to be implemented in our data platform. Data handled is from EV telematics, charging infrastructure and data pertaining to environmental factors e.g. weather, traffic, map data.
• Support the integration of data processing functions into the data pipelines.
• Support standardised reporting with the definition of key data insight metrics.
• Work with our platform team to develop the infrastructure to run our models in the cloud as part of automated data-model-optimisation pipelines and provide convenient user interfaces.
• Writing unit & integration tests for data processing functions, our models, analytics tools and pipelines.
• Working with our data engineering team to integrate new data sources into our data platform.
• Be and advocate for excellent coding standards and upholding effective SDLC, supporting other team members in transforming scripts into coherent pieces of software