Job Specifications
Data Analyst @ RELAY
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen
The Team
~90 people, more than half in engineering, product and data
45+ advanced degrees across computer science, mathematics and operations research
Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle
An intellectually vibrant culture of first-principles thinking, tight feedback loops and relentless experimentation
Work Alongside Industry Leaders
Andy Turner - Director of Data
Andy Turner has built and led data teams across global enterprises and high growth scale ups on five continents. He has delivered cloud native platforms, launched AI products end to end, and holds patents for novel machine learning applications in the UK Capital Markets. Trained in statistics at Oxford, he pairs strong technical fundamentals with clear judgement, a commercial focus, and a bias to deliver.
Relay's Mission
Relay exists to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone.
In This Future
Delivery feels invisible--free shipping is the default, and logistical friction disappears from consumers' minds.
Retailers of all sizes thrive equally online, whether selling a PS5 item or a PS500 one, as delivery becomes universally efficient and cost-effective.
Just as the internet eliminates friction from communication, Relay removes friction from the movement of goods, enabling broader participation and creating new opportunities for merchants and consumers alike.
Tech Stack Highlights
Cloud-native on GCP with extensive use of BigQuery and Cloud Run
Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine
Python, Rust and TypeScript - we keep things simple but use the right tool for the job
Cross-platform Flutter apps with a deep focus on user experience
Emerging tech integrations, including robotics and IoT-powered operations
The Opportunity
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 Last Mile Marketplace, and one will help optimise Quality & Attribution. 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.
Some Examples Of Projects
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.
Quality and Attribution
Build data tools to understand where parcels are going missing or not being received by the customer. Identify and tackle instances of fraud, specifically customers, couriers, or pitstops.
Proactively identify key areas for improvement in the network to minimise loss risk, and identify which teams in the business are responsible. Collaborate with Software Engineers to better track where parcels are in the network, and suggest product changes or new data points to improve visibility.
Monitor the performance of and suggest improvements to Relay's AI models that detect proof of delivery compliance.
Talent Acquisition
Develop and
About the Company
Relay is fundamentally reshaping how goods move in the online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans everything from fusion energy to space exploration), Relay is one of the fastest-scaling startups in Europe. Our mission: free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. Relay exists to break these barriers. We envision a world wh...
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