Senior 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.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 Senior Data Analysts, each focused on a high-impact domain as we more than 10x our volume in the coming years: one will work on scaling our Middle Mile and Pitstop Networks, the other on optimising Last Mile Quality.
Both roles sit within our core data function and work closely with teams across routing, sortation, first mile, middle mile, last mile, marketplace, and our commercial functions. You’ll help define strategy, drive insights, and shape decisions at the heart of Relay’s network.
You’ll sit at the intersection of business and data, using your analytical skills to surface insights, shape strategies, and influence outcomes. From building robust performance dashboards to partnering with operators to improve network efficiency, you’ll play a key role in helping Relay scale sustainably and effectively.
These are high-impact roles with significant autonomy. You’ll be embedded in cross-functional teams, often leading analytical projects end to end – from problem definition to delivering recommendations that drive real-world outcomes.
What you'll do
Define key performance indicators and build dashboards that make operational performance transparent and actionable
Proactively identify areas for improvement across the network and recommend strategic and operational initiatives
Translate complex business problems into analytical questions – and analytical results into clear, actionable recommendations
Collaborate with data scientists, data engineers, and software engineers to build data solutions that improve our network’s efficiency and resilience
Design and maintain self-service data tools that empower teams to make informed decisions independently
Take ownership of high-impact, cross-functional projects – driving them from concept to delivery and follow-through
Spend time embedded in operational processes (e.g. at our sortation warehouse or delivery hubs) to identify opportunities and ensure solutions are grounded in reality
What we're looking for
6+ years of experience as a data analyst or in a similar role
Excellent SQL skills and experience with BI/data visualisation tools
Excellent analytical and problem-solving skills, with a proven ability to derive insight and drive change from data
Effective communication skills – you can clearly explain technical results to both technical and non-technical audiences
Highly collaborative and cross-functional experience, especially in fast-moving operational environments
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
Comfort using 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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis E-commerce Python Research SQL Tableau
Perks/benefits: Career development Equity / stock options Fitness / gym Flex hours Health care Startup environment Team events
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