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hackajob is partnering with Relay Technologies to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
In the future, commerce will be instant, local, and seamless. What we now call "e-commerce" will simply be how we shop.
Relay is building the logistics network that e-commerce should have had from the start. We're designed from the ground up for sustainability - environmental, social, and economic. By rethinking both the middle and last mile, we cut miles driven, reduce carbon emissions, lower costs, and return value to local communities.
Behind the scenes, we orchestrate this with cutting-edge tech: from smart routing and real-time planning to seamless tools that empower our ground teams.
We’re not just building the future, we're scaling it fast.
We just closed a $35M Series A, the largest ever for a logistics tech startup in Europe.
Brands like Vinted, TikTok, and Temu are choosing Relay to power their UK expansion.
We're growing at a top 0.01% among all European Series A startups.
As a highly operational business, we rely on data to guide everything we do. We are a high-impact 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 four Senior Data Analysts, each focused on a high-impact domain as we more than 10x our volume in the coming year: open roles cover scaling our Middle Mile & Pitstop Networks, optimising Last Mile Quality, shaping our expansion and client strategy, and Attribution & Explainability across the whole network.
You will sit within our core data team 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, 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.
Middle Mile & Pitstops:
Pitstop Location Analysis: Leverage historical data to identify key success factors for pitstop locations, helping optimise our network expansion. This involves analysing physical characteristics, geographical factors, operational metrics, and demographic data to create a comprehensive evaluation framework.
Middle Mile Operations Dashboard: Design and implement sophisticated tracking systems for our Middle Mile courier network that covers performance tracking, booking optimisation, payment processing, and attendance prediction.
Last Mile Marketplace
Matching & Route Discoverability: Understand and optimise how couriers discover and book routes. Analyse booking data to identify what characteristics drive selection; use simulations and experiments to refine how, when, and to whom routes are shown, improving match quality and overall booking efficiency across the network.
Product Analytics: Analyse how couriers interact with our Last Mile app across booking funnels and core features. Run experiments to evaluate the impact of visibility, functionality, and interface changes on courier conversion, route uptake, and operational performance. Use this to shape product decisions and drive continuous improvement in courier experience.
Network
Geo-Expansion Strategy: Recommend where we grow our operating network by combining internal performance data with external signals. Evaluate commercial and operational feasibility of expansion into new cities, regions, or countries; identify client partnerships that accelerate footprint growth and model the impact on unit economics.
Forecasting & Scenario Simulation: Build and maintain data products that power expansion and demand planning decisions. Simulate pricing and volume scenarios to understand RPP/CPP outcomes, maintain forecast accuracy across zones, and develop tools and dashboards that inform long-term network strategy.
Attribution & Explainability
Team Overview: The Attribution & Explainability team helps us bring clarity to complexity. At Relay, every parcel generates thousands of data points as it moves through our network; and with millions of parcels delivered every month, there is no shortage of data. Your mission: turn that data into insight by building analytical frameworks that identify which components of the network are working optimally - and which aren’t. Think of it as Relay’s internal detective squad - uncovering inefficiencies, guiding decision-making and driving impact.
Optimising On Time Delivery: A key metric we track is the percentage of deliveries attempted on time. For those that aren’t, why not? Was the parcel delayed in transit, held up at the warehouse, impacted by courier routing, or was the address incorrect? This project involves building a classification framework to pinpoint root causes—and then using those insights to drive improvements.
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
5+ years of experience as a data analyst, consultant 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
Experience working with geographic or operational data
Experience in operationally intensive, fast-scaling businesses
Familiarity with Tableau or Count
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.
Generous equity package
25 days annual leave, plus bank holidays
Bupa Global Business Premier health plan – including mental, dental, and optical cover
Enhanced Parental Leave:
20 weeks of fully paid maternity leave
4 weeks of fully paid paternity leave
Contributory pension scheme
Friday office lunches
Access to cutting-edge AI tooling
Hybrid working from our dog-friendly Shoreditch office
Free gym membership via our co-working spaces
Cycle-to-work scheme
Regular team socials, events, and offsites!!
hackajob is partnering with Relay Technologies to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.