Data Analyst

London - Hybrid

Relay Technologies

UK’s new parcel shipping solution built purposefully for online delivery. Transform your next-day delivery experience with our zero-waste supply chain.

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Company mission

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. 

About the role

As a highly operational business, we rely on data to guide everything we do. We are a small but impactful data team that works on everything from operations research to optimise thousands of parcel deliveries daily, to detailed business metrics that drive our expansion and investment decisions — and everything in between.

We’re currently hiring two Data Analysts, each focused on a high-impact part of the network: one will work on Routing, and one will help optimise First Mile and Sortation. These roles are an opportunity to apply your analytical skills directly to the design and performance of critical logistics infrastructure as we scale.

You’ll work closely with squads across routing, sortation, first mile, middle mile, last mile, marketplace, and our commercial functions, and collaborate with operations, product, and engineering to identify problems, shape hypotheses, and deliver insight.

You’ll be an embedded contributor within key cross-functional squads, with strong exposure to real-world operations and the opportunity to drive meaningful change through data.

What you'll do

  • Define key performance indicators and build dashboards that make operational performance transparent and actionable

  • Support analysis of operational performance and help identify levers for improvement

  • Translate business problems into analytical questions – and analytical results into clear, actionable recommendations

  • Collaborate with data scientists, engineers, and operators to build data tools and surface performance insights

  • Contribute to scoped data projects from definition to delivery, with support from an experienced team of data professionals

  • Spend time in the operation (e.g. at our sortation warehouse or hubs) to understand how the network works on the ground

What we're looking for

  • 3+ years of experience as a data analyst or in a similar role

  • Strong SQL skills and experience with BI/data visualisation tools

  • Well-developed analytical and problem-solving skills, with a proven ability to derive insight from complex data

  • Effective communication skills – you can clearly explain analytical findings to both technical and non-technical audiences

  • A commercial mindset – you care about impact, not just insight

Nice to haves

  • Experience working with geographic or operational data

  • Experience in operationally intensive, fast-scaling businesses

  • Familiarity with Tableau

  • Basic Python (or similar) for data analysis and manipulation

We're flexible on background — if you’ve got core analytical skills and a track record of driving impact, we’d love to hear from you.

What we offer

  • 25 days annual leave per year (plus bank holidays).

  • Equity package.

  • Bupa Global: Business Premier Health Plan - Comprehensive global health insurance with direct access to specialists, dental care, mental health support and more.

  • Contributory pension scheme.

  • Hybrid working

  • Free membership of the gym in our co-working space in London.

  • Cycle-to-work scheme

  • A culture of learning and growth, where you're encouraged to take ownership from day one.

  • Plenty of team socials and events - from pottery painting to life-size Monopoly and escape rooms

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Data analysis E-commerce Engineering Python Research SQL Tableau

Perks/benefits: Career development Equity / stock options Fitness / gym Flex hours Health care Startup environment Team events

Region: Europe
Country: United Kingdom

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