Analytics Engineer

Analytics Engineer

In the future, almost everything we consume will simply materialise on our doorsteps – what we call “e-commerce” today
will simply be “commerce” tomorrow. But if we continue on today’s trajectory, the growth of e-commerce risks damaging the
environment, alienating our communities, and straining the bottom-line for small businesses.

Relay is an e-commerce-native logistics network. We are built from the ground up for environmental, social, and economic sustainability.
By building from the ground up we are able to entirely rethink both the middle and last mile enabling us to reduce the number of miles
driven to deliver each parcel, lower carbon emissions, and lower costs, all while channelling funds to community members.

At the same time, we’re fixing the last broken aspect of e-commerce for consumers: delivery. As shoppers, we should have complete
control over when and how we receive our purchases, and we should be able to return unwanted items as easily as we ordered them.
That’s why whenever you buy from a merchant powered by Relay, you’ll be able to reschedule your delivery at any time. And if you don’t
like what you ordered, at the tap of a button we’ll send someone to pick it up.

To orchestrate this complex ballet, Relay relies on a wide range of technologies, from advanced routing and planning to sophisticated
user experiences that guide our team members on the ground. We’re looking for a founding engineer to join our team with a focus on application infrastructure, which includes the core data model and event handling for our logistics network, as well as infrastructure for our retailer API.

We’re looking for an exceptional analytics engineer to help us build our data foundations. In this role, you will…

  • Partner closely with engineers and business leaders to design Relay’s core data models

  • Take ownership of Relay’s data infrastructure, including our dbt deployment, ETL process, and data catalogue

  • Collaborate with team members across every function and business area at Relay

  • Regularly spend time in the field understanding how your data models match the on-the-ground reality for our couriers and end-consumers

You might be a great fit for this role if…

  • You’ve built and maintained the core data models (via dbt or other orchestration tools) for a fast-growing or highly-operational line of business.

  • You’re at home across the data stack. You use your understanding of the stack to deftly balance technical and business needs.

  • You have high agency and take pride of ownership in your work. You naturally take initiative, seeking out the best opportunities for impact.

  • You have deep empathy for the humans whose behaviour and success your work helps quantify, including customers, partners, and your fellow colleagues. You seek out the chance to hear directly from them and go out of your way to incorporate their feedback into your work.

  • You are eager to learn new quantitative methods and technologies and to take on new problem domains.

  • You value and practise clear communication, active listening, and intentional collaboration.

We are looking for candidates who…

  • Are experienced and comfortable working with dbt

  • Have worked on high-performing data-driven teams for at least four years

  • Have a degree (undergraduate or graduate) in a quantitative discipline such as statistics, physics, maths, economics, or computer science

Apply Now

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