We generate millions of datapoints each day, and were hiring our first Data Analyst to help make sense of them.
The electricity grid is changing beyond recognition, and without deploying new software to orchestrate it, well be unable to decarbonise.
At Axle, were building the infrastructure thatll underpin the decarbonised energy system. Our software crushes CO2 and energy costs. Our goal is insanely ambitious, and were building a team to match the scale of this challenge. Weve just raised a Seed round from world-leading investors including Accel (TechCrunch) and were growing fast.
We make the technology to move energy usage to times when electricity is cheap and green. Our software controls vehicle charging, heating systems, and home batteries. We use machine learning to figure out what energy people will need, and when theyll need it. We control tens of thousands of energy assets, and were growing quickly.
Axle is a unique startup. Were building in a legacy industry and moving gigawatt-hours of electrons in the real world, but we operate at lightning speed. We ship extraordinarily quickly, and were experts in electricity systems. Were backed by some of the best investors in the world, and were growing the team to meet customer demand.
Requirements
At Axle, we read data from hundreds of thousands of devices every day. We then optimize the performance of those devices, and participate in electricity markets with them. As our business grows, were looking for a driven data analyst to help build reporting, monitoring, and visualization across the business.
Some things you might work on:
* Visualizing the charging patterns of thousands of electric vehicles
* Building dashboards to help us understand which devices are online
* Tracking our financial performance vs our revenue targets
Youll need:
* Tech chops: youll need comfort with SQL and basic Python knowledge to work with and automate our data processes
* Strong analytical skills: youll be speaking MW, kWh, and £ every day
* Commercial instincts: were looking for somebody who can help us spot opportunities lurking in our data!
* A deep-seated motivation to combat climate change
* Comfort moving fast in an uncertain and changeable environment
You can expect:
* insane amounts of ownership
* lots of fascinating data to get to grips with
* the support of a world class engineering & commercial team
This role would suit an ambitious generalist with a strong analytical background. We dont care if youve held a role with a similar title before: if youve got a track record of getting things done in complex, data-heavy environments, lets chat.
Interview process
* Initial interview
* Take-home exercise
* Final interview (in-person)
* Offer, references, and welcome to the team!
Benefits
We love the idea of fully remote work but it doesnt... work. For very early stage companies, people learn faster, get on better, and accomplish more when theyre spending a decent chunk of time together. We ask that you spend 2-3 days a week in our London office.
We are extremely keen to build a diverse company, and were particularly eager to hear from candidates who dont fit the traditional role stereotypes. If youre motivated by our mission, please do reach out, even if you feel you might not ‘check all the boxes.
Seniority level
* Associate
Employment type
* Full-time
Job function
* Information Technology
* IT Services and IT Consulting
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