About HIVED 📦

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 Zara, Uniqlo, ASOS, Nespresso, 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, HelloFresh, 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 and the British government. We’re passionate about driving innovation and redefining the future of delivery.

Role Overview 📝

We are looking for a driven, communicative and versatile Analytics Engineer to drive business outcomes through smart and impactful use of data. Our ideal future colleague cares deeply about creating business impact, translating business context and problem statements into the right data solutions and developing an analytics platform that serves a scaling data team.

We believe in opinionated analytics and creating an edge through intelligent use of Tech 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 by embedding them in product-centered, cross-functional squads for meaningful business context and encourage taking the 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 organisation.

Your day-to-day activities will range from ideating novel solutions to business problems to developing and maintaining meaningful data models in a sustainable fashion. Along the way you will talk to data producers for data context and roll out your solutions to business users to deliver maximum impact. Wherever you see an opportunity, you will contribute to developing and growing our analytics platform through developing the right tooling, setting standards and defining best practices.

You might move the needle at HIVED

• Through developing and refining meaningful operational metrics that capture and improve real-world processes across our operation (think parcel collection, sortation, delivery, driver workflows on the road, driver performance and engagement and much more).
• Through using product analytics to understand recipient behaviour and further driving our best-in-class customer experience or embedding data products into internal and external apps.
• Through supporting our Network and Commercial teams with intelligent analyses to guide our expansion strategies. And much more.

Responsibilities 

• Take initiative and translate business context and problem statements into impactful data solutions
• Develop meaningful data pipelines and models in a sustainable way
• Create powerful data products and dashboards that drive business outcomes
• Collaborate with business users, excite them with your solutions and advance data adoption in the organisation
• Collaborate with fellow Data team members to grow and improve the analytics platform through clean code, helpful tooling, best practices and standards for analytics at scale

 Requirements 

• 3+ years of experience in a similar analytics or data engineer, data science, or business intelligence role
• A passion for clean, efficient and meaningful SQL queries
• Previous experience using modern BI tools (we use Looker + LookML)
• Preferably some experience working with Python (pandas) in a data context
• Deeply outcome-focussed and analytical mind and great attention to detail
• A high-energy and bold communicator who enjoys collaborating across teams from different functions

Technologies we use

• Programming languages: SQL, LookML, Python
• Development tools and frameworks: dbt, pandas, dagster, Airbyte, dlt, data-diff, Elementary
• Data lake and warehouse: GCS, BigQuery
• Analytics: Looker, Looker Studio and geospatial analytics tools

How we reward our team 🎁

• Dynamic working environment with a diverse and driven team
• Huge opportunity for learning in a high growth environment, with progression opportunities based on success in the role
• 25 days of holiday allowance plus public holidays
• Wellbeing initiatives, including 3 wellbeing days in addition to holiday allowance
• Subsidised Private Medical Insurance including dental and vision
• Weekly team lunch and regular company socials
• MacBook Air or Windows Laptop (depending on your preference)
• Hybrid working set-up with in-person time expected at both our Shoreditch office and North Woolwich based depot
• Enhanced maternity/paternity/adoption policy
• Cycle to work scheme
• Dog friendly office

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