Data Analyst

At HIVED, we’re steamrolling forward as one of Europe’s fastest growing startups, and our momentum shows no signs of slowing.

Based in London, we are a climate and logistics start-up building the first sustainable parcel delivery network at scale, powered by a 100% electric fleet. In an ever-growing industry where unreliable service has long been the norm, HIVED has been built from the ground-up to meet the demands of modern consumers and disrupt parcel delivery.

A tech company at heart, our talent and technology is laser-focused on delivering the best possible delivery experience for end-customers and meeting the needs of our retail partners. From our drivers to our data engineers, we are constantly working to improve this customer experience that makes us deliver better.

Already trusted by leading international brands such as John Lewis, Nespresso, Uniqlo, H&M brands and more, we are solidifying our position as the leaders in Europe to tackle this growing market.

Our tight-knit team is made up of ex-Revolut, Bain, Hello Fresh, ASOS, Apple and Google employees, and we are backed by some of Europe’s leading investors and VCs in climate-tech, logistics and mobility including Planet A Ventures, Maersk Growth, Pale Blue Dot VC, Eka Ventures, Nordic Ninja VC and the British government. We’re passionate about driving innovation and redefining the future of delivery.

We're looking for a sharp, business-savvy Staff Data Analyst to drive business outcomes through impactful analytics within our Driver Squad. Our ideal future colleague cares deeply about creating business impact, translating business context and complex analytics into actionable insights and collaborating fluidly across teams Product, Tech, Data as well as Operations and Finance stakeholders.

We believe in opinionated analytics and creating an edge through intelligent use of technology and data in an industry that has been stuck in its ways for too long - for better or worse. That’s why we empower our growing team of engineers, data and product folks by embedding them in domain-centered, cross-functional squads for meaningful business context. They take initiative for impactful projects from day one.

We hone our craft and grow our skills as data professionals through functional reporting lines and regular catch-ups and knowledge sharing sessions across the Data and wider “HIVEDmind” organisation (= Tech + Data + Product + AI&Automations).

In your day-to-day you will come up with innovative solutions to business problems and identify new (product) opportunities using data analytics. You will define meaningful KPIs and metrics and capture them in data models and reports. Being embedded in the Driver Squad, you will work closely with your team mates across Tech and Product to deliver performance and efficiency insights and inform the squad’s roadmap.

You will also collaborate deeply with stakeholders beyond your squad to find efficiency gains and opportunities in our data and processes.

The Driver Squad’s mission is to create the industry’s leading delivery operation, identifying and incentivising the best delivery performance across both cost efficiency and delivery quality. You will be leading the squad’s work across Driver Pay, Driver Performance and Incentivisation analytics, identifying opportunities for technological innovation all the way through to internal performance and process improvements.

While this role is focussed mostly on individual contributions, you will also take line management responsibility for 1-2 Analytics (Engineering) professionals within your team. This role reports directly into the VP Data.

• Uncover business and product opportunities through robust analytics in a highly complex domain, translating technical insights with clarity for any audience.
• Shape data-driven decision-making across your squad and the wider operation; develop actionable performance metrics that move the needle.
• Size and measure the impact of ongoing initiatives and innovations.
• Build powerful data models and products that deliver actionable…