We generate millions of datapoints each day, and we're 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, we’ll be unable to decarbonise.
At Axle, we’re building the infrastructure that’ll underpin the decarbonised energy system. Our software crushes CO2 and energy costs. Our goal is insanely ambitious, and we’re building a team to match the scale of this challenge. We’ve just raised a Seed round from world-leading investors including Accel (TechCrunch) and we’re 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 they'll need it. We control tens of thousands of energy assets, and we’re growing quickly.
Axle is a unique startup. We’re 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 we’re experts in electricity systems. We’re backed by some of the best investors in the world, and we’re growing the team to meet customer demand.
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, we're 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
You’ll need:
- Tech chops: you’ll need comfort with SQL and basic Python knowledge to work with and automate our data processes
- Strong analytical skills: you’ll be speaking MW, kWh, and £ every day
- Commercial instincts: we're 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 don’t care if you’ve held a role with a similar title before: if you’ve got a track record of getting things done in complex, data-heavy environments, let’s chat.
Interview process:
- Initial interview
- Take-home exercise
- Final interview (in-person)
- Offer, references, and welcome to the team!
We love the idea of fully remote work but it doesn't… work. For very early stage companies, people learn faster, get on better, and accomplish more when they're 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 we’re particularly eager to hear from candidates who don't fit the traditional role stereotypes. If you’re motivated by our mission, please do reach out, even if you feel you might not ‘check all the boxes’.
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