Data Analyst

Reposted 20 Days Ago
London, Greater London, England
In-Office
Mid level
Consumer Web • eCommerce
The Role
The Data Analyst will analyze logistics data, optimize delivery processes, define KPIs, and collaborate with cross-functional teams to drive operational improvements and insights.
Summary Generated by Built In

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

Relay’s Mission is 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.

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.

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 are looking for a Data Analyst to work on Last Mile Marketplace. This role is 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.

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.

Who Will Thrive in this role?

  • 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

  • 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

Fast and Focused Hiring Process

  1. Talent Acquisition Interview - 30mins | Online

  2. Hiring Manager Interview - 45mins

  3. SQL Live Coding - 60mins

  4. Case Study - 60mins

  5. Relay Operating Principles & Impact- 60mins

  6. Decision and offer within 48 hours. Our process mirrors our pace of work.

Compensation, Benefits & Workplace

  • Generous equity, richer than 99% of European startups, with annual top-ups to share Relay’s success.

  • Private health & dental coverage, so comprehensive you’d need to be a partner at a Magic Circle law firm to match it.

  • 25 days of holidays

  • Enhanced parental leave.

  • Hardware of your choice.

  • Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more).

  • Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote.

Who Thrives at Relay?

  • Aim with Precision: You define problems clearly and measure your impact meticulously.

  • Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction.

  • 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience.

  • All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts.

  • People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success.

  • Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we.
    If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let’s connect.

Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

Top Skills

Bi/Data Visualization Tools
BigQuery
Cloud Run
Python
Rust
SQL
Typescript
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The Company
London
118 Employees
Year Founded: 2022

What We Do

Every single one of us places multiple orders online every year. On a world changing scale we can all agree that e-commerce is transformative in our lives. Yet, when we zoom into the specifics of e-commerce delivery, we find diverse approaches around the world.

In Asia, delivery companies were founded post the dawn of the internet and purpose built for e-commerce, in Europe and the US, delivery companies are all 50-500 years old and were built for a world pre-internet.

Relay enables e-commerce through re-wiring the critical delivery infrastructure to address the growth of e-commerce in Europe and the US. Not only do we enable orders of magnitude better delivery in speed and cost for retailers and consumers, but we are also doubling down on making sure our ecosystem of delivery drivers and the planet benefit.

Relay will enable the greatest change in online delivery since the birth of the internet and we cannot wait to bring it to you

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